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For owners who pay for traffic but feel their landing page could convert better. We set up a page that keeps trying different headlines, layouts and buttons on its own and sends more visitors to the versions that win.
For businesses whose visitors come for different reasons. The site shows each visitor the most fitting headline, image and offer based on where they came from and what they looked at, without anyone changing pages by hand.
For businesses that treat every website visitor the same. The AI reads how someone browses and tells whether they are just looking, comparing, ready to buy or need help, then shows them the right button or offer.
For owners who need new landing pages often but wait weeks for designers. You describe the product or offer and the AI writes and designs a full page in your brand, checks it, and we put it live.
For businesses losing visitors without knowing why. The AI watches anonymous, consented visit recordings with form fields hidden and flags unusual patterns such as rage clicks, dead buttons or sudden drop-offs, so you fix problems quickly.
For businesses unsure how to show their prices. The system tests honest ways of presenting the same price, such as bundles, monthly versus yearly, or plan order, and learns which presentation brings more revenue without fake urgency.
For businesses whose sales team wastes time on weak enquiries. The AI scores every new web lead on how well it fits and how interested it seems, sends hot leads to sales right away, and puts the rest into a nurture email flow.
For sites where visitors get lost before reaching what they want. The AI learns which menu order and link placement lead visitors to a purchase or booking, and adjusts navigation for each visit.
For owners who wonder whether visitors even see their main button or offer. The AI looks at screenshots of your pages, predicts where eyes go first, and tells you whether your key message sits in the right spot, with suggested fixes.
For businesses whose site slowly gets heavier with every new plugin, image and script. We set speed limits for each page and the system stops slow changes from going live, suggesting how to fix them.
For businesses that want to know which combination of headline, image, price display and button works best. Instead of slow one-at-a-time tests, the system tests several elements together and finds the best combination.
For subscription and app businesses whose trial users or members quietly stop showing up. The AI spots people whose activity is fading and sends them a helpful nudge on the site or by email before they leave.
For businesses with lots of articles, guides, products or videos. The AI understands what each page is about and suggests the most relevant next thing to each visitor, keeping them on your site longer.
For businesses serving visitors in different places or from different channels. Your site shows the right local version, such as the nearest branch, local offer or language, while staying very fast to load.
For businesses running A/B tests that drag on for weeks. The system watches your tests as data comes in and tells you early which version is likely to win, or whether a test is not worth continuing.
For sites where visitors get stuck, click back and forth or hit repeated errors. The system notices signs of confusion and steps in with a clearer explanation, a simpler step or an offer of help.
For businesses worried about fake sites copying their pages to trick customers. The system regularly searches the web for pages that look or read like yours and alerts you so you can act.
For businesses that want to know which steps actually lead people to buy. The system maps every route visitors take across ads, pages and emails, shows which paths end in sales, and explains it in plain words.
For businesses that use analytics, ads and chat tools on their site and need visitor consent handled properly. The system asks visitors once, remembers their choice, and only loads each tool when allowed, following the rules you set.
For businesses whose site has drifted into mismatched colours, buttons and spacing as it grew. The AI scans your pages, spots anything off-brand, and lists precise fixes so the site looks polished everywhere.
For businesses sending messages on the site, by email and in ads without coordination. One system decides when to send what, based on what each visitor did, and makes sure nobody gets too many messages.
For businesses that only find out their site is down or broken when a customer complains. The system tests your key pages and checkout like a real visitor around the clock, spots visual breakage, and tells you which change caused it.
For businesses that want a video welcome tailored to each audience or big prospect. The system assembles short videos from your scenes with the right message and names, placed on a landing page made for them.
For sites where one call-to-action button does not fit everyone. The system reads what each visitor seems to want and switches the main button, such as Buy now, Book a demo or See pricing, to the most fitting one.
For apps and online products where new sign-ups drop off before they get value. The AI guides each new user through setup with the right steps for them, nudges when they stall, and learns which path gets people to their first success.
We check every page of your website against your current prices, opening hours, contact details and team, and list everything out of date: old prices, past events, wrong hours, discontinued products. Each problem comes with a ready correction we apply after you approve, and the check repeats every week.
For businesses whose site sometimes breaks when a script fails or a connection drops. Instead of showing a broken page, the site falls back to a working version and reports the problem, so customers can keep going.
For businesses that want more visitors from Google but do not know which searches to target. The AI studies what people search for, how hard each search is to rank for, and how likely it is to bring buyers, then ranks the best opportunities.
For businesses that rely on Google traffic and get caught out by sudden ranking drops. The system watches your keywords and the wider search results, forecasts turbulent periods and explains whether a change hit you or everyone.
For businesses whose pages do not clearly tell search engines what they are about. The AI finds the topics, places, products and people your content should mention and connect, and helps restructure pages so search engines understand your expertise.
For businesses whose most important pages get buried on their own site. The AI maps how your pages link to each other and adds the right internal links so search engines and visitors find your key pages easily.
For businesses whose pages rank but do not match what searchers are looking for. The AI works out whether each search is for information, comparison or buying, and checks that your page gives that type of answer.
For businesses whose competitors have links from good websites that they do not. The system maps where competitors get links, picks sites that are realistic for you, and drafts friendly outreach for you to send.
For larger sites where search engines waste time on junk URLs and miss key pages. We read your server logs to see exactly where search bots go, find the waste, and fix it so important pages get crawled.
For businesses with several pages chasing the same Google search, so none ranks well. The AI finds pages that overlap and recommends which to merge, differentiate or point to a main version.
For businesses planning budgets and content who want to know what traffic to expect. The system forecasts visits from Google for your main pages and topics, including seasonal peaks, and shows the likely effect of planned content.
For businesses told their site is slow but unsure which fixes are worth paying for. The system links real-world speed scores to your rankings and sales, then tells you which pages to fix first.
For businesses who want to appear when people ask AI assistants and AI search for recommendations. We restructure your content and business information so AI answer engines can understand, trust and quote you.
For businesses with their site in several languages or countries. The system makes sure Google shows each visitor the right language and country version, fixing the technical tags that tell search engines which page is which.
For businesses that depend on Google traffic and want to know when a search update hits. The system watches ranking data for signs of a Google update, compares it with your own movements, and tells you whether to act.
For businesses whose site has piled up redirects after redesigns and moved pages. The system finds redirect chains and loops, works out the right final address, and applies a clean redirect map so visitors and Google land straight on the right page.
For businesses whose pages quietly drop out of Google or never get in. The system compares the pages you want found with what Google actually lists, flags errors and bloat, and helps fix them.
For businesses whose name, address, details and descriptions differ across Google, directories and social profiles. The system finds the conflicts, corrects the details we can edit, and gives search engines one clear picture of your business.
For businesses that publish content without a clear plan. The AI groups your topics into main guides and supporting pages, shows how they should link together, and gives you a ready plan of what to write.
For businesses whose searches now get answered right on Google so nobody clicks. The system finds where you lose clicks to instant answers and shifts your content toward searches and formats that still bring visitors.
For businesses hit by spammy or low-quality sites linking to them. The AI reviews your backlinks, flags the harmful ones, and prepares the disavow file you can submit, plus a routine to keep it current.
For businesses whose content answers the main question but misses the follow-ups. The AI works out the related questions search engines look for and checks your pages cover them, then fills the gaps.
For businesses ranking on Google but getting fewer clicks than they should. The system tests different page titles and descriptions, measures which earn more clicks, and keeps the best ones.
For sites with many near-identical or very thin pages that drag down the whole site in Google. The AI groups similar pages and recommends which to merge, improve or point to a main version.
For businesses wondering whether AI assistants and Google's AI summaries mention them or their competitors. The system checks your important questions regularly through official channels and shows when you are cited, when you are not, and who is.
For businesses whose helpful articles bring visitors but get no credit for sales. The system follows how people come back through several searches before buying, and shows which pages and searches really contribute.
For businesses whose team answers lots of support emails or chats. The AI drafts replies from your help content, your team edits or approves them, and every edit teaches the AI to write better replies next time.
For businesses whose salespeople get stuck on objections like price or timing. During a call where everyone has been told it is transcribed, the AI notices the objection and shows the rep a short, approved answer on screen.
For businesses whose customers message through the website, email, social and messaging apps. One AI assistant answers on all channels and remembers each customer's history, so nobody has to repeat themselves.
For subscription businesses losing customers who quietly lose interest. The AI spots accounts showing signs of leaving and opens a friendly, personal conversation offering help or a suitable offer before they cancel.
For businesses selling technical products whose customers report error codes and setup problems. The AI understands how your products, errors and fixes connect, and walks customers step by step to the right solution.
For businesses whose inbox mixes urgent complaints, sales questions and routine requests. The AI reads each incoming message, judges what it is about and how urgent it is, and sends it to the right person or bot with a priority.
For businesses with customers who speak different languages. The AI assistant answers questions in the customer's language using your single set of help content, so you do not need to translate everything.
For software and online services whose new customers struggle to set things up. An AI guide walks each new user through setup step by step, remembers progress, and can complete some setup actions for them.
For businesses whose chat or support sometimes faces frustrated customers. The AI notices when a customer is getting upset, softens its tone, offers a fitting fix from their account, and brings in a person before things escalate.
For businesses getting enquiries that sales has to qualify by hand. An AI assistant chats with each inbound lead, asks your qualifying questions, adds company-level details, and writes a scored record into your CRM.
For online shops and platforms whose team reviews suspicious orders or account activity. Your staff ask questions in plain words, and the AI pulls together order histories and unusual patterns into a clear case summary for your team to decide.
For agencies and consultants who want to offer AI assistants to their own clients. We set up a platform where you create a separate, branded assistant for each client, each with its own data and settings.
For businesses doing repetitive tasks across several systems. You ask in plain words and the AI plans the steps, shows you the plan, then carries it out across your connected tools, undoing changes if something fails.
For businesses whose salespeople keep asking about competitors, pricing and positioning. The AI answers their questions using only your approved sales material and stays current as it changes.
For businesses selling products that come back under warranty or for return. The AI checks eligibility from the order, helps the customer troubleshoot, and issues returns or refunds within your rules, sending risky cases to staff.
For growing businesses whose managers keep answering the same staff questions. The AI answers questions about leave, policies and benefits using your current company documents, and sends sensitive cases privately to the right person.
For businesses whose pages sit just below the top results. The AI studies what the top-ranking pages for your searches cover and how they are structured, then improves your pages and keeps checking after each update.
For businesses whose copy sounds different every time someone new writes it. The AI learns your brand's tone and words from your best content and writes new copy that sounds like you, rejecting drafts that drift.
For businesses with many locations, products or services that each deserve their own page. The system builds a unique, useful page for each one from your data, with proper structure and links, and keeps them updated.
For businesses that want to join timely conversations but always react too late. The system watches trending topics relevant to you and drafts on-brand posts and articles quickly, for you to approve.
For businesses with lots of internal knowledge but no time to write. The AI writes long articles and guides using only your own documents, citing where each fact came from so you can check it.
For businesses selling in other countries whose translated copy feels flat. The AI adapts your marketing for each culture and market, not just translating words, keeping your brand intact.
For businesses that never know what to publish next. The AI studies your content gaps, seasons and past results, builds an editorial calendar, and keeps reshuffling it as new opportunities appear.
For businesses whose older articles slowly lose Google traffic. The system spots pages in decline, works out why, and drafts targeted refreshes so they recover.
For businesses whose marketing makes claims that need backing up. The system scans copy for claims, matches each one to your evidence library, and flags any without proof for your reviewer before publishing.
For businesses sending regular emails who want them to work better. The system tests subject lines, copy and send times for each audience group, learns what works, and applies it automatically.
For businesses that need long sales pages for their offers. The AI writes sales pages using proven persuasion structures, tests different sections against real sales, and keeps every claim honest and supported.
For software businesses whose documentation is always behind. The AI reads your code, API specs and support tickets and writes clear docs, then updates them whenever the product changes.
For businesses whose visitors come from different ads and searches but see the same words. The system picks copy blocks for each visitor group and source, learns which combinations work, and keeps improving.
For businesses whose competitors rank for topics they have never written about. The system compares your content with competitors, finds valuable missing topics, and drafts briefs or full articles to fill them.
For businesses unsure which headline will grab attention on their pages and emails. The AI writes several headline options, tests them on real visitors, and automatically keeps the one that earns the most clicks or sign-ups.
For software and online businesses where people get stuck on sign-up forms, checkout steps or error messages. The AI rewrites the small words on your buttons, hints and errors, tests the versions with real visitors, and keeps the wording that helps more people finish.
For businesses that publish blogs, videos, emails and posts but cannot tell which pieces actually lead to sales. We connect your content, website and sales tools, and the AI shows which pieces helped bring each customer in, so you make more of what works.
For businesses selling in more than one language who worry their translated pages say something different. The AI translates your translated text back, compares it with the original, and flags lines where the meaning drifted before customers see them.
For businesses and agencies that publish articles but never know exactly what to write. The AI studies what ranks on Google for your topic and hands your writers a clear brief: keywords, questions to answer and the structure to follow.
For B2B businesses whose happy clients would convince new ones, if only someone wrote the story. The AI drafts case studies from your project notes, interviews and results, checks every claim against your records, and sends each draft to the client for approval.
For businesses that send lots of emails, ads and product texts and want each round to beat the last. The AI watches which of your lines get opens, clicks and sales, learns your winning style, and writes new copy shaped by what your own customers respond to.
For creators, coaches and software businesses whose followers are not all the same. The AI studies how people interact with your content and groups them into small, clear audience segments, so you can speak to each group with the right message.
For businesses that cannot read every comment and mention about them. The AI reads mentions of your brand across social media and review sites, sorts them by mood and urgency, and alerts you fast when something needs a reply or a problem is growing.
For businesses drowning in comments and direct messages. The AI reads each one, answers common questions from your own information, and passes anything unclear or sensitive to the right person on your team.
For businesses that want to know what competitors are doing on social media without spending hours checking. The AI follows your rivals' public posts, ads and offers, spots what is working for them, and sends you a short weekly brief.
For creators and brands with lots of content who want each person to see the pieces most relevant to them. The AI learns what each audience group engages with and builds a personalized mix for your newsletter, website feed or app.
For businesses where one angry post can snowball. The AI watches mentions of your brand, notices when criticism is growing unusually fast, and sends your team a short brief with what is happening and a suggested first response.
For businesses and creators who make one piece of content and struggle to adapt it everywhere. The AI turns your idea into versions that fit each platform's size, length and style, and tells you which ones are worth making first.
For businesses spending time on social media that want to know which posts made a real difference. The AI separates the effect of each post from normal ups and downs and seasonal patterns, and ranks your posts by the extra visits and sales they brought.
For agencies and businesses running several brands or accounts across time zones. The AI plans one shared calendar, stops your accounts from competing with each other, and fits posting around your team's capacity.
For creators and brands who want honest numbers. The AI checks your followers and engagement for bots and fake activity, so your reports, sponsors and ad decisions rely on real people.
For agencies and brands deciding whether one more post a week on a channel is worth the effort. The AI forecasts reach and follower growth for different content plans, so you can put your time where it brings the most extra audience.
For companies whose staff are willing to share company news but never know what to post. The AI suggests which content each volunteer would naturally want to share, adds an employee disclosure to every share, and shows how far the program reached.
We learn when your business gets busy and quiet from your past sales, add local holidays and events, and build a month-by-month ad budget plan. Budget changes are set up in your ad accounts ahead of each busy season, and the plan is checked against real results every month.
For businesses paying too much per click or losing auctions they should win. The AI estimates how valuable each audience, keyword and placement is to you and recommends bids that pay for value, not just volume.
For businesses where some customers make a single purchase and others keep coming back. The AI predicts how valuable each new customer is likely to become and sends that value to Google and Meta, so your ads chase loyal customers, not one-off bargain hunters.
For businesses running ads to the same broad audience every month. The AI studies who actually buys and engages, finds distinct customer groups you are not targeting yet, and turns them into ready audiences in your ad accounts.
For businesses showing the same retargeting ad over and over. The AI plans the order and frequency of retargeting messages for each group of visitors, moving them step by step toward buying without annoying them.
For businesses whose ads promise one thing and land visitors on a page that says another. The AI checks each ad against its landing page, flags mismatches, and recommends or writes the page version that best fits the ad.
For businesses whose ad costs suddenly jump without warning. The AI watches your auction data for new or more aggressive competitors and tells you whether to defend, hold back or take advantage.
For businesses whose display and video ads appear on junk sites and apps. The AI scores where your ads appear for safety, visibility and results, and keeps include and exclude lists updated so your budget goes to good placements.
Every day we open the page behind each of your ads and check it works: it loads, the product is in stock and the price and offer match what the ad says. When something is wrong you get a plain alert, and the ad can be paused until the page is fixed.
For businesses running several ad campaigns that target the same people. The AI finds where your audiences overlap, shows where you bid against yourself, and recommends merges and exclusions to stop it.
For subscription businesses, gyms and firms whose cheapest new customers often leave fastest. The AI groups customers by the campaign that brought them, forecasts how much each group will be worth, and shows how long each campaign takes to pay for itself.
For businesses whose prospecting ads keep reaching people who already buy from them. The AI builds exclusion lists of current customers and people unlikely to buy, keeps them updated, and frees your budget for real new prospects.
For businesses unsure whether raising their ad budget will bring more customers or just higher costs. The AI studies your past budget changes and shows, per campaign, how results really respond to spending more or less.
For small agencies and consultants managing ad accounts for many clients. The AI watches every client account against your rules, flags problems like overspend or broken tracking, and applies routine fixes so nothing slips.
For businesses whose ad costs climb as their current audience gets tired. The AI watches for signs your audiences are saturating and suggests the next audiences to try before costs rise.
For creators and sellers whose thumbnails and product images decide whether anyone clicks. The AI predicts which image version is most likely to be clicked before you spend money, and recommends the best one for each placement.
For businesses that discover ad problems only at the end of the month. The AI forecasts your expected spend, cost per customer and conversions each day, and alerts you when actual numbers move outside the expected range.
For businesses with an email list that keeps shrinking. The AI estimates which subscribers are likely to unsubscribe soon and tags them in your email tool, so you can send fewer, better emails to them instead of losing them.
For businesses sending emails at one time to everyone. The AI learns when each subscriber usually opens and clicks, and schedules every email to arrive when that person is most likely to read it.
For businesses and charities sending many campaigns that wear out their list. The AI predicts each contact's tolerance for email, sets a personal limit, and holds back sends that would push them over it.
For businesses whose emails quietly land in spam folders. The AI checks your sender setup, content and sending history before each campaign, predicts spam risk, and tells you what to fix or slow down.
For businesses that send discounts to every lapsed customer, including those who would have returned anyway. The AI predicts who a win-back offer will actually change, and sends offers only to them.
For businesses and charities whose emails get filtered because of their wording. The AI scores each draft for spam-trigger risk and highlights the exact words, links or images causing it, before you hit send.
For brands and agencies with several people writing emails and posts. The AI learns your brand voice from your best past messages, scores every new draft against it, and flags lines that sound off-brand before they go out.
For businesses running one A/B test at a time and learning slowly. The AI tests subject lines, images, buttons and offers in one go and works out which part made the difference.
For businesses with a monthly sales target and a list they do not want to burn out. The AI works out how many emails or texts to send each day to stay on track for your target without overmailing.
For businesses whose customers appear several times across email, phone and accounts. The AI matches records that belong to the same person, using only details customers gave you, so you stop double-messaging them.
For businesses whose new subscribers get one fixed welcome series. The AI tries different orders and pacing of welcome emails for each type of subscriber, and keeps the path that leads to more first purchases.
For businesses unsure whether their emails cause sales or just take credit for them. The AI keeps a small group who do not receive each flow and compares them with everyone else to show the real extra revenue email brings.
For businesses running email or SMS tests that end too early or never reach a clear answer. The AI tells you how many people each test needs, watches it while it runs, and signals when the result is trustworthy.
For brands whose emails break in some inboxes or dark mode. The AI renders each email in common email apps and devices, looks at the screenshots, and flags broken layouts, cut-off buttons and dark mode problems before you send.
For sellers buying from several suppliers whose catalogue is full of duplicates and messy attributes. The AI matches products that are the same item using text and photos, merges duplicates and standardizes attributes into clean product records.
For brands whose website, app and ads drift from their brand guide over time. The AI checks your live pages and ads for logo, colour, spacing and font mistakes, marks exactly where each issue is and ranks them by importance.
For businesses whose logo looks great large but turns to mush as an app icon or on a sign. The AI creates a family of logo versions, from tiny icon to billboard, and checks each stays readable at its size.
For businesses whose brand colours look nice but make text hard to read. The AI builds a full colour system around your brand colours, with light and dark shades, and checks every text-on-background pair meets readability guidelines.
For businesses whose website and app text looks cramped or uneven. The AI builds a type scale that suits your brand tone, checks readability on real screens and applies consistent text sizes and spacing across web and mobile.
For apps and websites that need new icons that match the existing set. The AI learns your icon style, line weight, corners and grid, then creates new icons on request and checks they fit.
For brands that want buttons, logos and videos to move in a consistent, recognisable way. The AI defines your brand's motion style and generates small animations for your website, app and social videos that follow it.
For software businesses whose product grew without a design system, leaving dozens of slightly different colours and spacings. The AI scans your live product, finds the colours, spacing and components you actually use, and merges them into one clean set of design rules.
For founders naming a new business, product or brand. The AI generates name ideas, checks domain and social handle availability, runs a first look in public trademark databases and ranks names that are easy to say and remember.
For teams publishing lots of designs and copy who keep breaking brand rules. The AI checks every design and text against your brand rules before it goes live and lists exactly what to fix.
For brands that suspect they look just like their competitors. The AI collects competitors' visuals, maps where everyone sits in style, shows the crowded and empty spaces and suggests visual moves to stand out.
For shops, car businesses and tech brands wanting 3D product views or a 3D logo. The AI turns photos and flat logos into textured 3D models with your brand materials, ready for your website, ads and videos.
For founders and agencies about to launch a new logo. The AI compares your logo against public trademark databases and the web for similar-looking marks, and prepares an evidence pack for your trademark attorney to review. It is a search aid, not a clearance.
For companies changing name, logo or colours who fear old branding lingering everywhere. The AI finds every place your old brand appears across website, documents and assets, plans the switch in phases, replaces what it can and checks each place afterwards.
For businesses about to commit to a logo. The AI shows your logo tiny, low-contrast, blurred, in black and white and on worn print, scores how recognisable it stays and suggests changes where it breaks down.
For businesses whose logos, photos, and videos are scattered across drives and phones. We gather everything into one library where you can type what you want, like 'summer team photo outdoors', and find it in seconds.
For start-ups and software businesses that want their app or website to look consistent. We build a library of ready-to-use interface pieces, like buttons, forms, and menus, styled to your brand and tested on phones and desktops.
For brands that use video, podcasts, apps, or phone lines and want a recognisable sound. We create a short audio logo, matching notification sounds, and background music that feels like your brand.
For teams drowning in design comments spread across email, chat, and documents. The AI gathers every comment, ties it to the exact part of the design, groups similar points, and gives the designer one clear list of changes.
For businesses that keep a brand guide as a PDF nobody reads. We turn it into a living website showing your colours, fonts, logos, and examples, and it updates itself when your design changes.
For businesses launching new product lines, locations, or services under one main brand. The AI designs how each sub-brand should look and be named so they feel related yet distinct.
For teams that need a steady stream of branded visuals for ads, posts, and product pages. Your team types what they need and the AI produces images locked to your brand look, ready to use.
For businesses that want each customer to get the right message at the right time without manual sending. We build automatic journeys, like welcome, abandoned cart, and win-back, that branch based on what each customer does.
For businesses with a customer list who want to know who is ready to buy what. The AI scores each customer for each product line based on past behaviour, so your campaigns go to the people most likely to respond.
For owners spending on several channels, like Google, Meta, flyers, and email, who cannot tell which ones really bring sales. The model looks at your sales and spend over time and shows what each channel truly contributes and how to split next month's budget.
For sales teams who hate digging through the CRM and typing notes. Your team asks things like 'what did we promise this client last month?' and the assistant answers from your real records, drafts follow-ups, and updates records when told.
For businesses sending newsletters and offers to their list. Instead of one message for everyone, the AI writes a version for each customer, with a subject, wording, picture, and offer that fit what they bought and browsed, all within your brand rules.
For B2B businesses chasing a short list of big-fit companies. The system scores the accounts in your CRM, maps the people you already know there, and runs coordinated emails, ads, and sales tasks toward each account.
For owners who want to know what will actually close this month and quarter. The AI estimates each deal's chance and timing from your CRM history and rolls it up into a forecast, flagging deals that are slipping.
For businesses where enquiries sit unanswered because nobody knows whose turn it is. Each new enquiry goes straight to the best team member based on area, workload, and fit, with reminders and escalation if no one replies in time.
For sales-led businesses that want to know why deals are won or lost. The AI reads your closed deals, notes, and call transcripts, finds the reasons that keep coming up, and turns them into coaching tips and playbook updates.
For businesses running Meta or Google ads who want better audiences. The AI studies your best customers from your own records and sends a ranked, privacy-protected seed list to the ad platforms so they find similar people.
For businesses that grow by word of mouth. The AI spots which customers are most likely to recommend you and sends them a well-timed, personal referral invitation, then shows which referrals turned into sales.
For B2B businesses where several people from the same company contact you separately. The system links each new enquiry to the right company record in your CRM so your team sees the whole picture and reports by company.
For businesses spending on several ad platforms who want a clear answer on where the next euro or dollar should go. The system connects your ad spend and conversions, credits each channel fairly, and recommends how to split the budget.
For businesses paying for ads and getting fake clicks, bot form fills, or spam leads. The AI watches your ad traffic and form submissions, blocks the junk, and shows how much wasted spend it caught.
For businesses whose support team hears 'can it also do this?' or 'I'm thinking of cancelling' every day. The AI reads support conversations, spots upgrade interest and unhappy customers, and sends them to the right salesperson or account manager.
For businesses messaging customers by email, text, and other channels who need to respect each person's choices everywhere. We build one preference centre and make every sending tool check it before a message goes out.
For growing businesses whose customer and sales data is spread across a store, CRM, ad accounts, and email tool. We bring it all into one database, define the key numbers once, and push clean customer segments back into your tools.
For businesses that give the same discount to everyone and lose margin. The AI learns how each customer group responds to offers and suggests the smallest discount that still gets them to buy.
For sales teams that forget to log calls. After each sales meeting, where everyone has been told it is recorded, the AI writes the summary, pulls out promises and next steps, and updates the deal in your CRM.
For businesses spending meaningful amounts on marketing who want to know what truly adds sales, not just which ad got the last click. The model estimates each channel's real added effect and shows where extra spend stops paying.
For growing companies where every team reports different numbers. We pull your systems into one versioned data store, define each key number once with tests, and make it available to dashboards and tools.
For businesses where problems show up as odd combinations, like orders up but payments down. The AI watches many numbers together and alerts you when they stop moving the way they normally do, and says which ones caused it.
For owners who want to see sales, orders, and sign-ups as they happen, not in tomorrow's report. We build a live dashboard on your own domain that updates second by second and writes a short note on what is unusual today.
For businesses that want to know which numbers move before sales do, like quote requests or website visits. The AI tests your numbers to find real early signals and puts them on a simple early-warning dashboard.
For businesses whose busy and quiet times swing, like call centres, restaurants, or support teams. The AI forecasts demand and turns it into how many people you need on each shift.
For businesses treating all customers the same. The AI groups your customers by how they buy, like big occasional spenders or frequent small buyers, describes each group simply, and sends the groups to your marketing tools.
For owners who don't have time to study dashboards. Every week or month, the AI checks all your numbers, picks the changes that really matter, and writes a short plain-English report where every claim links to the figure behind it.
For businesses tracking many numbers who want to know which ones are linked. The AI tests relationships, filters out coincidences, and shows the genuine links on a simple dashboard.
For founders who want the whole team focused on one number that reflects real growth. We help choose it, map the smaller numbers that drive it, and build a dashboard that shows what moved it each week.
For teams who get a new spreadsheet or dataset and need to understand it fast. Upload it and the system profiles every column, finds gaps and odd values, runs basic tests, and writes a readable report.
For businesses with many reviews who want to know what customers like and dislike about each part, like service, price, or cleanliness. The AI reads every review and scores each aspect.
For businesses with lots of positive reviews they never use. The AI finds the strongest quotes, tags them by product and customer type, and flags whether you have permission before they go into your marketing.
For businesses whose review analysis gets fooled by comments like 'great, another hour waiting'. We train a model on your reviews that recognises sarcasm and backhanded praise, so your scores reflect what customers really mean.
For businesses where review feedback never reaches the people who can fix it. The AI groups recurring review themes and creates tasks in your project tool for the right team, with real examples attached.
For subscription and repeat-purchase businesses where unhappy reviews often come before cancellations. The AI links review tone and unresolved issues with your customer records to flag customers at risk of leaving, so your team can reach out first.
For businesses that want to spot a new problem, like a faulty product batch or a slipping service, before it spreads. The AI watches for sudden bursts of negative reviews on one topic and alerts you with real examples.
For businesses with years of reviews spread across sites. We collect them into one searchable store where you can ask questions like 'what do people say about parking?' and get the answer with real quotes.
For businesses that want to know which parts of the experience bring customers back. The system links review and support tone with repeat purchases and shows which aspects matter most for loyalty.
For owners who feel the team is busy but don't know where the time goes. We read the activity history already stored in your systems, rebuild how work really flows, and show which steps to automate first.
For teams whose dashboards quietly go stale or show wrong numbers. The system watches your data feeds every day, catches missing, late or broken data, explains the cause, and fixes the common problems itself.
For businesses that rely on outside suppliers and software vendors but never re-check them after signing. We collect their answers and documents, watch for warning signs in the news, and keep a simple risk list up to date.
For businesses with automations scattered across many tools and nobody sure what runs where. We bring them under one control panel that shows every job, retries failures, and tells you what broke.
For growing teams where approvals sit in someone's inbox for days. The system sends each request to the right person based on your rules, reminds them, and escalates when it stalls.
For subscription businesses that learn a customer is unhappy only when they cancel. The system scores every account's health daily and tells your team exactly what to do for the ones slipping.
For teams that waste time clicking through many tools for simple tasks. Staff type what they need in plain words, and the assistant looks things up or does the task in your systems, asking first before anything important.
For owners who receive a 'slightly updated' contract or policy and must spot what changed. The system compares versions by meaning, highlights changed amounts, dates, names and clauses, and sends the marked-up copy to whoever must sign off.
For brands and creators with an idea sketched out but no film budget. Upload your storyboard and the AI generates each scene, smooths the motion and joins them into a finished short video you can edit.
For businesses that need someone on screen explaining things but don't want to film. A licensed or fully synthetic presenter reads your script with natural lip movement, in each language you sell in.
For creators and studios who want animation from real movement without motion-capture suits. Film someone moving with any camera, and the system turns the movement into animation for your characters.
For brands producing lots of videos with many hands involved. Before a video goes out, the system checks logos, colours, fonts and banned content frame by frame and shows exactly what to fix.
For small studios and creators who film in front of a green screen. Describe a setting and the AI creates a realistic backdrop, matched to your camera angle and lighting, so it looks like you filmed on location.
For creators and marketers who post videos and hope they work. Before you publish, the AI reviews your hook, pacing and visuals, points to the seconds where viewers are likely to leave, and suggests re-cuts.
For businesses with data worth sharing but no time for animation. Give it a spreadsheet and a short brief, and it builds an animated chart video with voiceover, in your brand style.
For creators and marketers paying for stock footage that never quite fits. The system finds or generates background clips matched to each part of your script, coloured to match your project.
For video makers who can't set up a green screen. The system separates people or products from any background, cleanly and frame by frame, so you can place them anywhere.
For brands that need a steady flow of short videos but have no editor. Give it your brand kit and content calendar, and it produces short videos every week that always match your colours, fonts and style.
For marketers who need the key message to be seen. The system predicts where viewers' eyes go across your video and flags moments when your offer or logo is likely missed.
For founders with a pitch or product doc but no explainer video. The system turns it into an animated explainer with moving text, icons, voiceover and smooth scenes.
For businesses whose ads must always carry certain notices or wording. The system checks each finished video against your own checklist, confirming every required line appears, is readable and stays on screen long enough.
For online businesses losing people between landing and checkout. The system studies each step of your sales path, predicts where visitors are likely to leave, links it to likely causes, and ranks fixes by revenue.
For businesses unsure whether their prices or bundles are right. The system studies how different customer groups respond to price, tests offers carefully on small slices of traffic, and recommends what to try next.
For businesses unsure which page layout sells best. The system creates many layout versions within your brand rules and lets real visitor results decide which survive and combine.
For subscription businesses wasting discounts on customers who'd stay anyway. The system predicts who might leave and, more importantly, who will respond to a retention offer, so you only act where it matters.
For website owners who wonder how people really move through their site. The system groups common visitor paths, shows which ones lead to sales and which trap people in loops, and ranks navigation fixes.
For owners with a slow website and no idea which fix matters. The system links page speed to sales, shows what slowness is likely costing you, and ranks fixes by impact.
For businesses with lots of customer activity data and no analyst to read it. The system groups customers by how they behave, notices when a group grows, shrinks or changes, flags unusual spikes, and explains every change in plain words.
For online businesses selling across countries with one generic site. The system shows each visitor local currency, language, payment options and trust signals, and learns which local touches help people buy in each market.
For online businesses that find out about a broken checkout or a failing campaign days later. The system learns your normal sales pattern, alerts you quickly when something drops, and points to the likely cause — a website change, a campaign or one customer group.
For websites where valuable visitors hover over the price and then leave. The system notices hesitation, opens a helpful chat at that moment, answers from your own product information and learns which conversation style helps people decide.
For businesses paying for clicks that bounce straight away. The system compares what each ad promises with the page it lands on, shows which sources bounce because of a mismatch, and writes landing versions that keep the promise.
For businesses whose customers visit many times before buying. Only for logged-in or consenting visitors and using your own IDs, the system joins their visits into one journey, shows where decisions stall and suggests timely follow-ups.
For businesses that want to sell more online without invasive tracking. The system runs tests and simple personalisation using only aggregated, privacy-friendly signals and no third-party cookies, and documents every data flow for you.
Shoppers who find an item sold out can ask to be told when it is back. When stock arrives we let them know by email or text, only as many as you have in stock, and you get a weekly list of what people are waiting for so you can reorder the right things.
For companies filming product demos who spend hours adding arrows and zooms. The system follows the presenter's hands and the product on screen and adds callouts, zoom-ins and pointers exactly when each feature is shown.
For product teams whose requirements live in scattered briefs, design files and call notes. The system compiles them into one connected list of requirements, flags vague or conflicting ones, and creates tickets with checks for done.
For development teams losing hours to failing builds. The system reads each failure log, works out what went wrong, and proposes or applies the right fix, so developers get back to work faster.
For software teams whose codebase is full of near-duplicate components. The system maps your existing components, suggests reuse before new code is written, and proposes clean-ups to merge duplicates.
For businesses whose React website or web app feels sluggish. We set up faster page rendering and caching close to visitors, then a speed check stops new code from making pages slow again.
For teams who are nervous every time the database structure must change. The system studies how your app really uses its data, writes changes that can be undone, rehearses them on a copy first and suggests indexes that speed up slow screens.
For software teams with feature switches piling up and nobody sure which are still needed. The system tracks every switch, spots stale and clashing ones, and writes the clean-up code once a feature is fully live.
For teams whose website is split into parts built by different groups. The system joins the parts into one smooth site, blocks any update that would break another part, and removes duplicate code loaded twice.
For start-ups whose cloud setup was clicked together by hand and nobody dares touch it. Describe what you need, and the system writes the setup as code, checks it against your rules and expected cost, and watches for drift afterwards.
For businesses whose product has AI features that sometimes give wrong or odd answers. We set up a test bench with saved example questions, version-tracked instructions and checks that stop a release when answers get worse.
For software makers who want users to edit the same document or board together, like in shared docs. We add live co-editing, presence dots and offline editing that merges cleanly later.
For teams who learn about slow pages and errors from angry customers. We add tracing to your app so every request can be followed end to end, with dashboards and alerts tied to what users actually experience.
For teams whose product or developers run code written by AI, and who worry what that code might touch. We build a locked-down place where every generated script runs first, checked against your own security rules, before it reaches real data.
For software teams whose orders, bookings or payments span several services and sometimes get stuck halfway. We build the process so every step either completes or is cleanly undone, and each failure path is checked before launch.
For teams whose front-end code has become hard to change because data is passed everywhere. The system maps how data flows through your screens, finds tangles and duplication, and proposes a cleaner structure with step-by-step changes.
For software teams whose releases sometimes break things for everyone at once. Each update goes to a small group first, the system compares errors, speed and sales against the old version, and promotes or rolls back automatically.
For start-ups that know what data and user roles their app needs but not how to build the back end. Describe your data and who may do what, and we generate the back end with checks and tests that try to break the permissions.
For apps that slow down under load but fear showing customers outdated data. The system studies how your data is read and written, sets up caching at the right layers and checks that nobody ever sees stale information.
For development teams drowning in security scanner warnings, most of them duplicates or impossible to reach. The system combines your scanners, merges repeats, checks which warnings real input could actually trigger, and drafts fixes for the ones that matter.
For teams who worry a password or access key has slipped into code or logs. The system scans commits and build logs, tells real secrets apart from test values, and helps you swap out any leaked key quickly.
For businesses with a web app or API who have never had it properly tested. We set up an automated tester that knows your app's screens and logins and keeps throwing unusual inputs at it to find weak spots before others do.
For businesses who are asked 'where does my data go?' and can't answer. The system traces personal data through your code, databases and outside services and keeps a live map and inventory up to date.
For businesses whose internal services can all reach each other, so one break-in spreads everywhere. The system watches real traffic between your services, writes rules allowing only the connections that are needed, and tests them on real traffic before switching them on.
For tech businesses unsure whether their encryption is current. The system lists every place your code, websites and key stores use encryption, flags weak settings, expiring certificates and keys never changed, and builds a plan to modernise.
For small teams who would panic if they were hacked or had a major outage. We turn your response plan into automatic steps that gather the facts, contain the problem and draft updates to customers and staff.
For growing companies where staff collect access to tools and nobody removes it. The system compares who has access with who actually uses it, pre-sorts the safe items for one-click confirmation, and sends only the questionable ones to the right owner.
For businesses who don't know every website, server and subdomain they have online. The system discovers your internet-facing assets, including forgotten ones, scores how exposed each is and alerts you when something new appears.
For apps whose screens slow down as data grows. The system collects your slowest database queries, groups them by cause, and recommends indexes and rewrites that are tested on a copy before you apply them.
For businesses whose cloud bill jumps without warning. The system watches your cloud usage and spend every day, alerts you to unusual spikes, and explains which service, team or change caused them.
For businesses with many websites and services, where one expired security certificate can take a site down. The system finds every certificate, renews and replaces them automatically, and warns about weak or wrongly issued ones.
For software teams who hope their app survives a crashed server or slow supplier but have never checked. The system runs small, controlled failure tests with strict limits and shows whether users would notice.
For businesses holding valuable customer or company data. The system learns what normal outgoing traffic looks like, spots unusual uploads, hidden channels and odd destinations, and slows or blocks suspicious transfers in stages.
For software teams torn between shipping fast and keeping the app stable. We set clear reliability targets with you, track how much room for error is left, and hold back risky releases when that room runs out.
For businesses whose apps expose APIs nobody has fully listed. The system discovers every API from real traffic and specs, checks for common API weaknesses like seeing other users' data, and enforces rules at the gateway.
For software teams bitten by 'it worked in testing'. The system compares the settings of each environment against the agreed source of truth, explains each difference and opens fixes so test and live stay in step.
For businesses that receive files from strangers — invoices, attachments and customer uploads. The system inspects each suspicious file and, if needed, opens it safely in a sealed test machine to see what it tries to do.
For software teams who want security mistakes caught at code review, not after launch. The system checks every pull request for common unsafe patterns — like unsafe database queries or unescaped output — and suggests the exact safe rewrite.
For teams whose outages often follow a release. The system learns from your past changes and incidents which kinds of change tend to cause trouble, scores each new release, and suggests extra care for the risky ones.
For businesses where a few people have full admin access to servers. Sessions on company systems are recorded, with admins told by a login banner, and the system flags unusual commands and writes a short story of each session.
For B2B businesses whose salespeople chase whoever is on a list. The system learns what your won deals have in common, finds similar companies showing buying interest, and refreshes a ranked target list in your CRM every week.
For B2B sellers who talk to one person and lose because others were deciding. The system groups the contacts and activity already in your CRM into each account's buying group, predicts roles and influence, and flags who is missing.
For businesses ready to grow beyond their current customers. The system learns what your best customers have in common, searches company databases for close look-alikes most likely to expand, and groups them into named segments with reasons.
For sales teams whose inbox fills with replies — interested, not now, wrong person, objections. The system sorts every reply by intent and objection, sends hot ones to a rep instantly and drafts grounded responses for approval.
For subscription software businesses that want to know which customers are ready to buy more and which are drifting away. The system reads product usage every day, scores each account for growth potential and leaving risk, and tells the account owner why.
For B2B sellers with case studies nobody can find at the right moment. The system matches each prospect's industry, size and problem to your most relevant proof and writes a one-page brief citing exactly where each claim comes from.
For businesses that send a lot of sales emails and messages and worry about writing to someone who said no. Every message is checked against your opt-out lists, consent records and the rules you approved before it goes out. Anything risky is held back for a person to look at.
For business-to-business sellers whose website gets visits but few form fills. It shows which companies, never which people, are reading your pages and how interested they look. The best-fit companies go straight into your CRM for follow-up.
For small teams who want introductions instead of cold emails. We map who on your team knows whom, using your own contacts and CRM history, and show the best warm route into each company you want to win. The AI drafts a polite introduction request for your colleague to approve.
For businesses sending the same message to everyone. The AI splits your leads into small groups that behave alike and writes a message angle for each group, backed by your real proof points. You approve every campaign before it goes out.
For businesses whose leads go quiet after the first contact. Each lead gets follow-up emails that change based on what they open and click. Leads that look ready are passed to you, and cold ones get a fresh approach later instead of more of the same.
For small sales teams that want every rep writing and talking like their best. The AI reviews each rep's emails and recorded calls, with everyone's notice, and gives each rep private tips on their own work. Managers only see team-wide patterns, never rankings.
For businesses that exhibit at trade shows and lose leads afterwards. We take your badge scans and opted-in attendee lists, rank who fits best, and write follow-ups based on the sessions they attended. Meetings get booked into your event calendar once a rep approves.
For sellers who want to stand out in follow-up after a first conversation. You record one base video, and the AI writes a short personal intro and thumbnail for each prospect based on your CRM notes. Every script is checked by a person before it is sent.
For businesses with a pile of leads that went quiet or said no. The AI finds which ones are worth trying again and writes a fresh message tied to what has changed since. Sends are approved by you and kept to a safe number.
For businesses that get work through partner firms. The AI finds which of your target accounts are a good fit for both you and a partner, drafts joint introductions for both sides to approve, and keeps score of who referred what.
For sales teams juggling many leads across tools. Each rep gets one ranked list of who to contact next and why, with the message already drafted. Response-time timers make sure hot leads are never left waiting.
For businesses using AI to write outreach that sounds generic or off-brand. We train a writing model on your approved messages so drafts sound like you, and a checker blocks anything with banned phrases or claims you have not approved.
For founders who need to know how many possible customers exist and where. The AI builds a map of every company that matches your ideal customer, counts each segment and estimates its value. You see which groups you have barely touched.
For businesses looking for their next group of customers. The AI reads job posts, review sites and industry forums to spot small industries showing need for what you sell. It ranks each niche and suggests how to approach it.
For businesses whose big clients deserve a personal touch. The AI spots key moments like a renewal, a milestone or a new contract, suggests a gift and writes a personal note. You approve each one and the budget limits keep spending in check.
For businesses whose customers ask for advice online. The AI watches public social posts and communities for questions and complaints your offer solves. It drafts a genuinely helpful reply for you to approve before anything is posted.
For growing teams whose sales, marketing and product data live in separate tools. We bring it all into one tidy store that every lead score and report draws from. The AI watches data quality and warns you before reports start going wrong.
For businesses buried in repeat support questions. The AI looks at all your tickets and chats to show where your help pages work, where they fail, and which missing answers create the most contacts. You get a ranked list of fixes.
For support teams that promise reply or fix times to customers. The AI looks at every open ticket and warns you which ones are likely to miss their deadline, based on queue size, complexity and who is busy. Risky tickets rise to the top before it is too late.
For businesses whose service sometimes goes down or runs late. When your monitoring spots a problem, the AI works out which customers are affected and drafts a clear, honest update for you to approve. Customers hear from you first, so fewer of them contact support.
For businesses answering customers on email, chat, WhatsApp and social all at once. Every message lands in one shared inbox, linked to the same customer whichever channel they use. The AI routes each one to the right person and keeps the full conversation history together.
For support teams with lots of saved replies but no idea which ones work. The AI learns which saved replies and help articles actually solve each type of ticket and suggests the best one as the agent opens it. Customer details are filled in automatically.
For businesses that only learn a customer was unhappy when they cancel. The AI reads each conversation and predicts how satisfied the customer is and whether they might leave. Your team gets a short daily list of people to reach out to.
For businesses running a customer community or forum. When someone asks a question, the AI finds the best existing answer and drafts a reply for a moderator to approve. It also spots popular questions nobody has answered yet and turns good answers into help articles.
For support teams that spend most of the day typing answers. The AI writes a full reply for every ticket with links to where the facts came from. Your agent checks it and sends with one click, and the AI learns from every edit.
For businesses whose customers keep getting stuck at the same points. The AI joins your support conversations with how people use your site or product to show exactly where they get confused. You get a ranked list of fixes to the product or help content.
For businesses whose support replies sound cold or robotic. The AI rewrites replies in your brand's tone, warmer when a customer is upset and more direct when they are in a hurry. It blocks dismissive phrases and keeps language simple and inclusive.
For businesses with renewals, warranties or usage limits that catch customers by surprise. The AI spots these moments coming and prepares a helpful, well-timed message for you to approve. Customers get answers before they need to ask.
For support teams whose ticket categories are messy or missing. The AI reads your past tickets, builds a clear list of topics and sub-topics, and then tags every new ticket. You finally see what customers contact you about.
For support teams where tickets bounce back and forth. The AI learns from your past solved tickets which fix works best for each problem and shows agents the most likely answer first. More problems get solved in one reply.
For businesses whose customer details are scattered across many tools. We pull it all into one organised memory so your chatbots and team can instantly look up a customer's history, orders and preferences. Answers become personal instead of generic.
For businesses starting to use AI for support replies but nervous about mistakes. The system decides which replies can go straight out and which need a person to check, based on confidence, topic risk and customer importance. As the AI proves itself, more replies go out automatically.
For businesses that find out about a product problem only when complaints pile up. The AI watches incoming tickets for new kinds of complaints and sudden spikes. You get an alert with examples as soon as a new issue starts to grow.
For owners who suspect their website is losing them customers but do not know why. We scan your live site for problems like slow mobile pages, missing reviews, broken link previews and weak copy. You get a clear list of fixes ranked by what matters most, with before-and-after mockups.
A voice AI that answers your business phone in a natural voice, greets callers, answers your FAQs, takes messages, and routes urgent calls to you — trained on your business.
A voice AI that calls back new leads within minutes of them asking for a call and ticking your call-consent box, says up front that it is an AI, and books the next step — the follow-up you never have time to do. It never calls anyone without recorded consent.
A voice AI that takes reservations, manages your waitlist, and fills cancellations by calling the next guest — well suited to restaurants, salons and studios.
An AI agent that reads the request, checks your policy, processes the refund or return in your system, and replies to the customer — closing the loop automatically.
We connect your disconnected tools (forms, CRM, email, spreadsheets, invoicing) so data flows automatically and the manual copy-paste between them disappears.
An AI agent that reads invoices and receipts, extracts every line, codes them correctly, and files them into your accounting — no more manual data entry.
An AI agent that logs every call (where callers were told it is recorded), email and interaction into your CRM automatically, updates statuses, and flags who needs follow-up — a clean CRM with zero admin.
An AI agent that takes each new order, updates inventory, triggers fulfillment, and keeps the customer informed automatically — end to end.
An AI agent that runs your onboarding — sends the right docs, collects what's needed, sets up accounts, and checks nothing was missed — the same great start every time.
An AI agent that reads the customer's problem, takes the real action to fix it (refund, reschedule, update, look-up), and only escalates the truly hard ones — cutting your ticket load dramatically.
A live-chat AI that answers visitor questions from your real info, guides them to the right product, and captures the sale or lead — grounded, never made-up.
An AI agent on your WhatsApp Business that answers questions, shares your catalogue, books and takes orders — meeting customers where they already are.
We produce a steady stream of on-brand ad creatives, product descriptions and creator-style content that is clearly the brand's own (never presented as real customer reviews or testimonials) so your ads and store never go stale.
An AI that reads your incoming documents and forms, pulls the key data, and files it where it belongs — the end of manual paperwork.
An AI SDR that researches companies that fit your ideal customer from company-level public data, drafts personalized emails for you to approve and send one-by-one from your own mailbox with an opt-out line, follows up with people who reply, and books meetings into your calendar.
An AI that asks every customer for a review at a well-timed moment, across email and text, and alerts you to any unhappy reply so you can fix the problem — without filtering who gets asked.
An AI that keeps your Google Business Profile and every listing optimized, posts weekly, and drafts review replies — the groundwork local-pack visibility is built on (no ranking is guaranteed).
An AI that categorizes every transaction, reconciles accounts, and flags anything odd — clean, current books without the manual work.
An AI that suggests a relevant add-on to each customer at a well-timed moment — bigger baskets without discounting.
An AI that spots customers who've gone quiet and runs personalized win-back offers across email and text to customers who opted in to marketing — revenue you'd written off.
An AI that runs your referral program — asks at the right time, tracks rewards, and nudges — word-of-mouth on autopilot.
A done-for-you loyalty program that rewards repeat customers automatically and brings them back more often.
A done-for-you Google Ads setup: campaign structure, keywords and ad copy ready to launch, conversion tracking, and a weekly optimisation checklist so your ads keep improving week by week.
A done-for-you Meta ads system: creative, targeting and optimization handled, so your ad budget finally pays off.
We turn your ordinary product photos into clean, professional, store-ready images that sell.
We virtually stage and enhance property or space photos so they present the space well, clearly labelled as virtually staged.
A branded client portal where customers book, pay, upload and track — looking bigger and more professional than you are.
A done-for-you membership site with gated content, payments and member management — a new income stream, built for you.
We build your complete online store — products, payments, shipping, the lot — so you can start selling online this week.
A done-for-you social media system that plans, writes, designs and schedules your posts across every platform.
We design and build a fast, beautiful website engineered to turn visitors into customers — ready to launch and grow your business.
A done-for-you backup and security setup that backs up your files and customer data, tests that restores work, and alerts you to suspicious activity it detects.
We diagnose and fix everything slowing your website down, so it loads instantly, ranks better, and loses fewer customers.
A complete event system — registration page, reminders, follow-ups — that fills your event and nurtures every attendee.
A deployed agent that decomposes a research brief into sub-questions, pulls from web sources, filings, review sites and your CRM, then writes a cited report with a confidence-scored findings table. It reruns on a schedule and diffs each new report against the last to surface what changed.
Change a price once and we update it everywhere: the till, your online shop, your marketplace listings and your shelf labels. Afterwards every place is checked, and you get a list of anywhere still showing the old price.
An agent that scans forums, marketplaces, search-trend data and reviews in your category to detect emerging demand and unmet needs, clustering them into opportunity themes with evidence. It ranks whitespace by momentum and difficulty and refreshes the map monthly.
An agent that takes raw inbound or list leads, enriches each with firmographics, tech stack, funding and buying signals, then scores fit against your ICP and writes a one-line rationale. It syncs the enriched, scored record straight into your CRM and flags junk for review.
An agent that builds targeted company lists from your ICP using company-level public data only (no scraped personal contact lists), researches each account for a genuine trigger event, and drafts a personalized first-touch grounded in that trigger. Every draft is queued for human approval and sent one-by-one from your own mailbox with an opt-out line, with the research shown alongside.
An agent that audits your CRM pipeline nightly for stale deals, missing next-steps, wrong stages and duplicate opportunities, then applies fixes it's authorized for and queues the rest for the owning rep. It posts a daily hygiene report with what it changed and what needs a human.
An agent that reads a shared inbox, classifies each message by intent, drafts the right reply from your knowledge base, and completes the linked action — booking, refund, lookup — for the categories you authorize. Anything outside its authority is escalated with a suggested response for a human to approve.
An agent that aggregates signals from email, chat, tickets, dashboards and calendars into a prioritized daily brief for a leader, flagging what needs a decision today. It can execute pre-approved responses (accept, delegate, schedule) on the leader's behalf and logs each one.
An agent that runs interview logistics end-to-end: matching candidate and panel availability, booking rooms/links, sending prep materials, and rescheduling when someone drops. It keeps the ATS status in sync and escalates only genuine conflicts to the recruiter.
An agent that pulls records from two or more systems (e.g. CRM vs billing, PMS vs ledger), matches them with fuzzy keys, and classifies every mismatch by root cause. It auto-corrects the discrepancies you authorize and files the rest as review cases with proposed fixes.
An agent that continuously scans your CRM for duplicate accounts/contacts, malformed fields, and orphaned records, then merges and normalizes within rules you set. It presents ambiguous merges as review cards and keeps a reversible log of every change.
An agent that profiles a source dataset, proposes a field mapping to the target schema, transforms and validates records in batches, and reports every row it couldn't map cleanly. It runs a dry-run with a human sign-off before committing any writes to the destination system.
An agent that monitors regulators, standards bodies and legislative feeds relevant to your business, summarizes each change with a link to the source, and lists the internal documents that mention the same topic. It routes each item to the owner you name (your counsel or compliance lead) to decide what, if anything, changes; it monitors and summarises, it does not interpret the law.
An agent that drives the close checklist, kicking off accruals, reconciliations and inter-company entries in dependency order, chasing owners for their sub-tasks, and tracking readiness in real time. It blocks the close from advancing until each control passes and a controller signs off.
An agent that reviews every submitted expense against your policy, receipts and duplicate history, auto-approving clean claims and flagging violations with the specific rule cited. It routes edge cases to managers and builds a spend-anomaly report for finance.
An agent that reads each new support ticket, resolves the ones it can from your knowledge base with a grounded answer, and routes the rest to the right queue with a diagnosis and priority. It enriches tickets with account context and flags likely churn or escalation risk.
An agent that runs your content work from brief to publish: assigning tasks, drafting and routing for edits, checking brand and SEO guidelines, and scheduling approved pieces across channels. It keeps the editorial calendar in sync and blocks anything that fails a required check.
An agent that crawls your site, diagnoses technical and on-page SEO issues (broken links, missing meta, thin content, schema gaps, Core Web Vitals), and applies the fixes it's authorized to make via your CMS. Riskier changes are staged as a diff for approval, with a rollback path.
An agent that continuously crawls your site for broken links, orphan pages and sitemap errors, then fixes redirects and regenerates the sitemap within rules. It queues ambiguous 404s (delete vs redirect) for an editor and reports what it repaired.
An agent that scans your site against WCAG, prioritizes violations by severity and traffic, and applies safe remediations (alt text, ARIA, contrast, focus order) through the CMS. Structural changes are proposed as diffs for a developer to approve.
An agent that runs new-hire onboarding across IT, HR and facilities: creating accounts and access within role policy, ordering equipment, scheduling training, and tracking every task to completion. Access grants beyond baseline require a manager's approval.
An agent that watches your monitoring and alerting stack, correlates related alerts into a single incident, enriches it with recent deploys and logs, and proposes a probable cause and severity. It pages the right on-call, opens the incident channel, and drafts the status update — executing remediation only from an approved runbook.
An agent that continuously baselines your logs and metrics, detects anomalies, and runs a scripted investigation — querying traces, correlating with changes, and narrowing to a likely cause. It files a findings ticket with evidence and recommends a fix, escalating to an engineer for any action.
An agent that ingests vulnerability scans and advisories, correlates them to your actual asset inventory, prioritizes by exploitability and exposure, and opens remediation tickets with the fix. It can stage patches in non-prod but requires change approval before any production rollout.
An agent that continuously analyzes your cloud spend, identifies idle, oversized and untagged resources, and quantifies savings for each. It applies safe, reversible fixes (stop idle, rightsize dev) within policy and holds production changes for engineering approval.
An agent that intakes change requests, assesses risk and blast radius, checks for conflicting changes and freeze windows, and assembles the approval package for the CAB. It auto-approves low-risk standard changes within policy and routes the rest with a recommendation.
An agent that parses an incoming RFP into a requirements matrix, drafts answers from your approved content library, flags gaps needing an SME, and assembles a compliant response document. It tracks deadlines and holds the final for a bid-owner's approval before submission.
An agent that scores members on churn risk from usage and billing signals, and runs tailored save interventions — check-ins, offers within policy, class recommendations — before they cancel. A member cancelling sees at most one save offer they can decline in a single click — cancellation is never blocked or delayed — and offers beyond policy are escalated to staff.
An agent that intakes service jobs, matches the right technician by skill, location and parts availability, and builds the optimized daily route and schedule. It handles reschedules and emergencies dynamically, keeps customers informed, and escalates SLA-breach risks to a dispatcher.
An agent that takes a BOM, finds compliant parts and suppliers, checks availability, lead time and lifecycle status, and identifies alternates for at-risk components. It builds a costed, risk-flagged sourcing plan and drafts POs held for an engineer/buyer's approval.
An agent that drives a deal from configured quote through approval, order, invoicing and payment, enforcing pricing/discount policy and keeping CRM, CPQ and ERP in step at each stage. Out-of-policy discounts and large deals route to the right approver before proceeding.
An agent that processes partner/reseller deal registrations: checking for channel conflict and duplicates, validating eligibility, and approving or routing each within program rules. It notifies partners of decisions and keeps the partner portal and CRM in sync.
An agent that watches transaction and account-behavior signals, correlates them into fraud cases with a risk score and the contributing evidence, and takes protective action (hold, step-up verify) within policy. It queues borderline cases for a fraud analyst and never blocks a customer beyond policy without review.
An agent that watches support tickets, product changes and doc-feedback signals to detect stale, missing or contradictory knowledge-base content, and drafts updates grounded in the source of truth. Each change is staged for an owner's approval before publishing, with a redline of what changed.
An agent that tracks all your software and vendor contracts, alerts owners ahead of renewal and auto-renew dates, and analyzes usage to recommend renew, renegotiate or cancel. It assembles the renewal decision package and routes it to the budget owner for approval.
For businesses whose data sits in many systems and gets copied into spreadsheets by hand. We build a scheduled pipeline that pulls from your databases and apps, cleans the data and loads tidy tables into one warehouse. AI watches each run and explains problems in plain words.
For companies whose reports run on fragile, undocumented data logic nobody dares touch. We move raw data into a clear landing area and rebuild your reporting tables as versioned, tested models with documentation. AI keeps the documentation current and explains each model's purpose.
For companies that need to react to what happens in their app or devices within seconds. We build a streaming pipeline that takes in events, combines them over short time windows and feeds fast results to your app or dashboards. AI watches the flow and explains delays or unusual spikes.
For companies whose reports slow down the main database or show yesterday's numbers. We set up a live copy that streams every new, changed and deleted record from your production database into your warehouse or a replica, without heavy queries on the original. AI watches the copy and explains any lag.
For companies with useful customer data in a warehouse that their sales and marketing tools never see. We push segments and figures back into your CRM, email and support tools on schedule, sending only what changed. AI explains sync failures and suggests field mappings.
We set up automatic data-quality checks that run on every data load, testing freshness, sudden changes in volume, missing values, duplicates and broken links between tables. Failures raise alerts and can stop bad data from reaching dashboards.
We stand up a searchable data catalog that documents every table, column, and owner, and traces column-level lineage from source through transformations to dashboards. Analysts find trusted data and see exactly what feeds any metric.
We design a clean analytics tracking plan and instrument your web and mobile app to emit consistent, typed events into your warehouse. Every event follows a governed schema so downstream analysis isn't guessing what a field means.
For businesses whose customer information is scattered across store, email, ads and support tools. We bring it together into one profile per customer, linking their activity across devices and channels, and build segments you can send to your marketing tools. AI suggests segments and summarises customer behaviour.
For businesses building AI features like smart search, recommendations or assistants on their own content. We turn your text, images or activity data into searchable AI-ready form, store it in a vector database and feature store, and keep it refreshed. Your apps get one simple way to fetch it.
For companies whose software talks to many outside services, each with its own quirks. We build a middle layer that handles logins, retries and limits for every provider and gives your apps one clean connection. AI watches errors and explains provider problems in plain words.
For companies with lots of data, such as logs, sensor readings or files, that is too costly to keep in a regular warehouse. We build a store on low-cost storage with reliable tables, history you can go back to, and a query tool. AI keeps tables tidy and explains query costs.
For businesses that rely on notifications from payment and software providers and occasionally lose them. We set up a receiver that checks each notification is genuine, removes duplicates, stores it safely and delivers it to your systems, replaying any that fail. AI watches deliveries and explains failures.
We audit your warehouse workloads and re-engineer them to cut compute and storage spend — right-sizing warehouses, clustering tables, pruning unused models, and rewriting expensive queries. We deploy the changes and monitor the savings.
For operations teams who want to see what is happening right now, not yesterday. We build the pipeline behind a live dashboard, streaming events through running totals into a fast store that keeps tiles current. AI writes short notes on unusual changes as they happen.
We stand up managed connectors that pull data from your key SaaS tools — payments, ads, support, CRM — into your warehouse on schedule with schema handling and incremental loads. New sources plug in without custom code each time.
We implement role-based access, column-level security, and data masking across your warehouse so sensitive fields are protected and access follows policy. We document who can see what and keep a searchable access log.
We move a slow nightly data run to one that updates continuously, so data that used to arrive tomorrow arrives in minutes. We run both side by side and check they match before switching over.
We build an automated reconciliation pipeline that matches transactions across your payment processor, bank, and ledger, flagging mismatches and unexplained gaps. It runs daily and produces an exception report for finance to clear.
For teams with many data pipelines who only learn of failures when a report looks wrong. We track every pipeline's run time, freshness, volumes and failures on one dashboard with history. AI explains what broke and why, and routes alerts to the right person.
We build an automated pipeline that locates, exports, or deletes all data for a given individual across your systems when a privacy request your team has verified and approved comes in. It produces a verifiable record of what was found and actioned.
For companies where every report shows a different revenue or customer count. We define each metric once in one central place, so every dashboard and query calculates it the same way. AI answers questions about metrics and explains definitions in plain words.
We build the data model and data flow that link ad clicks, visits and sales into complete customer journeys, sharing the credit across every channel that helped. Marketing sees which spend actually drives revenue.
For growing apps whose main database is hitting its limits. We split data across several servers with a routing layer, keeping your app working the same way, and move live data without taking you offline. AI watches load and explains slowdowns.
We build a pipeline that produces masked or synthetic copies of production data for testing and analytics, masking identifiers while preserving statistical shape and referential integrity. Teams get realistic test data with far fewer identifiers in circulation (masked data is still handled under your own privacy policies).
We build a pipeline that turns raw clickstream events into sessions, funnels, and paths, computing session boundaries and page sequences. Product and growth teams analyze how users actually move through your app.
We implement data contracts between the teams that produce and consume data, defining schemas and expectations that are enforced automatically in CI and at ingest. Breaking changes are caught before they hit downstream consumers.
We migrate your on-premise or legacy warehouse to a modern cloud platform, moving schemas, data, and transformation logic while validating parity at each step. We plan the cutover to avoid disrupting reporting.
We build a pipeline that turns your subscription and payment events into clean recurring-revenue metrics — MRR, churn, expansion, cohorts — reconciled against the billing system. Finance and leadership get trustworthy SaaS metrics.
For teams whose data pipeline changes sometimes break reports in production. We add tests, a staging area and automatic checks so every change is validated before it goes live, with a clear roll-back. AI reviews each change and explains test failures.
We build a system that automatically moves aged data from expensive hot storage to cheap cold tiers while keeping it queryable, applying retention policies per data type. Costs drop without losing access to history.
We build a pipeline that centralizes logs from your applications and infrastructure, parses them into structured fields, and makes them searchable with retention and alerting. Debugging and audits stop meaning SSH-ing into servers.
We help you give each team ownership of its own data, published as data products with their own data flows, agreements and access points, connected through shared standards. Each team owns its data as a governed product.
We set on-time promises for your data and watch when each data load arrives, alerting the right people when data is late. Your team gets clear commitments and early warnings, not surprises, about when data is ready.
We build a Data Vault 2.0 model — hubs, links, and satellites — giving you a highly auditable, agile warehouse foundation that absorbs source changes and preserves full history. It suits regulated, fast-changing environments.
For teams whose live data double-counts orders or clicks when events are retried or replayed. We add duplicate blocking to your live data stream so each event is counted once, even at high volume. AI tracks the duplicate rate and explains spikes.
For teams adding new data sources often and writing custom code each time. We build a reusable framework so any new source lands in your data lake the same way, with layout, schema and records captured, by filling a short setup file. AI drafts the setup for each new source.
We build a Customer 360 model that joins every interaction — orders, support, marketing, product usage — into one unified customer view with computed lifetime value, health, and stage. Every team queries the same complete picture.
We build robust backfill tooling for your pipelines so you can safely reprocess historical data for a date range or fix a bad load without corrupting downstream tables. Recovery from a bad day becomes a routine command.
We build an integration that pulls communication and meeting data from email and calendar into your CRM and warehouse, linking interactions to accounts and deals. Relationship activity is captured without manual logging.
We build a service that enriches your records with third-party data — company size and industry, the tools they use and public company-registry data — calling providers efficiently with caching and fallback across sources. Thin company records become complete.
We audit an existing warehouse for schema debt, unused tables, redundant models, broken lineage, and slow queries, then deliver a prioritized remediation plan with the quick wins already applied. You learn exactly what to fix and why.
For teams whose data lake only updates overnight and slows down with tiny files. We build a continuous feed that lands events in analytics-ready tables, tidying files and partitions as data arrives. AI watches file health and explains slowdowns.
We integrate your payment processors into a unified data layer that normalizes charges, refunds, disputes, and fees across providers into consistent transaction records. Finance analyzes payments across processors as one dataset.
We refactor a tangled, monolithic pipeline into modular, reusable, well-tested components with clear boundaries and documentation. Future changes touch one small piece instead of risking the whole chain.
For software companies whose customers share one database and need proof their data is kept apart. We design and build separation so each customer's data is only reachable by that customer, in the database and the data flows. AI runs regular separation checks and reports per-customer usage.
We convert full-refresh warehouse models to incremental processing, so each run only handles new or changed data instead of rebuilding everything. Runtimes and costs drop sharply while results stay correct.
We deploy a schema registry that governs every analytics and streaming event's structure, versioning schemas and enforcing compatibility so producers can't ship breaking events. Consumers rely on stable, documented contracts.
We add robust conflict resolution to a two-way sync where both systems can edit the same record, defining deterministic rules and merge strategies so concurrent edits resolve predictably. The dreaded sync loop and overwrite problems end.
We build disaster recovery for your data platform — automated backups, cross-region replication, and tested restore procedures so a failure doesn't mean permanent loss or days of downtime. Recovery is drilled, not theoretical.
We build a streaming pipeline that enriches live events by joining them against reference data and other streams in real time, so each event carries full context as it flows. Downstream consumers get enriched events, not raw fragments.
We build an ongoing data-quality scorecard that measures completeness, accuracy, consistency, and timeliness across your key datasets and reports trends to stakeholders. Data health becomes a managed, visible metric.
We wire a circuit breaker into your reporting so that if upstream data is stale or failed quality checks, dashboards show a clear warning or hold the last good data instead of silently displaying wrong numbers. Bad data never poses as truth.
We build a data flow that turns deeply nested JSON or XML from APIs and logs into flat, easy-to-query tables while keeping how the records relate. Analysts query complex data with plain SQL.
We write your entire data setup — warehouse, data flows, permissions and connectors — as code, so environments can be rebuilt, reviewed and recovered after a disaster. Spinning up a new environment is a single command.
We stream database changes directly into a search engine index so your app's search stays in sync with the source of truth in near real time. New and updated records become searchable within seconds without batch reindexing.
We instrument your data platform to attribute compute and storage costs to specific pipelines, teams, and datasets, so you know exactly what each workload costs. Waste becomes visible and chargeback becomes possible.
We build a pipeline that collects, labels, versions, and validates datasets for training your machine-learning models, with quality checks and dataset lineage. Model teams get reproducible, trustworthy training sets on demand.
We build the pipeline that computes cohort and retention curves from your user or customer activity, handling cohort definitions, activity windows, and retention math consistently. Growth teams see true retention by cohort.
We build a self-service portal where your clients or partners upload their data in any common format, which is validated, mapped, and ingested into your systems automatically with clear error feedback. Client data onboarding stops being a support burden.
For businesses that need to know the moment something goes wrong, not in tomorrow's report. We watch your live numbers and send one clear alert within seconds when something is off.
Employees photograph receipts and the system reads them, picks out merchant, amount, tax and date, sorts each expense against your accounts and policy, and files them into the expense system. Out-of-policy or duplicate receipts are flagged for a reviewer before reimbursement.
Scans your contract repository to extract renewal, notice-period, and expiry terms, then builds a proactive calendar that alerts owners ahead of every auto-renewal and termination window. Ambiguous or missing dates are routed for human confirmation.
Pulls figures from accounting systems and source documents, populates report templates with variance analysis and narrative, and produces board-ready financial reports on schedule. Data-quality issues and unexplained variances are flagged before publishing.
Collects sustainability data from utility bills, invoices, HR records, and supplier documents, maps it to reporting-framework metrics, and assembles a draft data pack organised by framework metric for your sustainability lead and auditor to review. Missing data points and unit inconsistencies are flagged for owners.
Gathers KPIs, financials, and departmental updates from systems and submitted documents, formats them into the board-pack template, and produces a versioned, distribution-ready pack. Late or missing sections are chased automatically before the deadline.
Parses remittance advices from any format, matches payments to open invoices, applies deductions and short-pays with reason codes, and posts cash to the accounting ledger. Unmatched payments and unexplained deductions route to AR staff.
We train a churn model on your subscriber or customer history — usage, billing, support tickets, engagement — that scores every account's probability of leaving in the next 30/60/90 days. It surfaces the specific risk drivers per account so retention teams act on causes, not just scores.
We learn the normal operating signature of each machine and detect deviations that precede faults, even for failure modes never seen before. Unsupervised models flag when a machine drifts outside its own learned envelope.
We build a rolling 13-week and 12-month cash-flow forecast trained on your invoicing, payment behaviour, payroll, recurring costs and seasonality. Deployed against your accounting feed, it projects the daily cash balance with confidence bands and flags shortfall dates ahead.
We forecast revenue by segment, product line and channel using bookings, open deals, seasonality and wider economic drivers. It produces a base, upside and downside range each period so leadership plans on a range, not a single number.
For project-based businesses we predict which jobs will overrun budget or schedule, using early progress metrics, change orders, resource loading and historical outcomes of similar projects. It flags at-risk projects while corrective action is still cheap.
For businesses with limited capacity or stock, like rooms, seats or seasonal goods. Our pricing engine recommends prices in real time from demand, remaining capacity, competitor prices and sensitivity, always within the floors and ceilings you set.
We estimate customer willingness-to-pay and optimal price tiers from purchase data, quote acceptance, and where relevant conjoint-style surveys. It informs packaging and tier design so you price where demand actually sits.
For businesses deciding how much to spend winning customers. We predict each customer's future value from their purchase history, so marketing can set budgets and focus on the most valuable groups.
We predict long-term customer value from only the first days or first order, so you can identify future high-value customers before they've spent much. It transfers patterns from mature cohorts onto brand-new customers.
We predict when each customer is next likely to buy and what, from inter-purchase intervals, category cadence and lifecycle stage. It powers well-timed replenishment reminders and next-best-offer campaigns.
We predict which free-trial or freemium users will convert to paid, from onboarding actions, feature usage depth and engagement velocity. It flags high-intent trials for sales touch and low-intent ones for nudge automation.
We predict conversions, revenue and ROAS for planned ad campaigns from creative, channel, audience, spend and historical performance. It forecasts what a campaign will return before you commit budget and reallocates mid-flight.
We forecast fraud and chargeback loss rates by channel, product and cohort, and score transactions for fraud risk in real time. It gives finance a loss projection and operations a live risk queue tuned to your acceptable false-positive rate.
We forecast how each customer cohort's revenue and retention will evolve over its lifetime, projecting cohort curves forward from early data. Leadership sees the long-run value of recent acquisition cohorts before it fully plays out.
We forecast recurring renewal revenue by combining per-account renewal probabilities, expansion and contraction predictions into a bookings-and-revenue projection. It gives SaaS and subscription leaders a bottom-up net-revenue-retention forecast.
Balances sales territories by potential, workload, and travel while assigning fair, achievable quotas aligned to company targets. Rebalances as reps join, leave, or accounts move, keeping coverage equitable.
Projects future workload and recommends how many people, with which skills, to hire, cross-train, or contract over the planning horizon. Optimizes the staffing plan against service targets and cost.
Predicts churn and price sensitivity per customer and selects the minimum retention incentive that keeps profitable customers. Targets only those whose behavior the offer will actually change, within budget.
Models willingness-to-pay across segments to design plan tiers, prices, and feature bundles that maximize long-term revenue. Simulates migrations and churn before you change packaging.
Mines purchase patterns to design product bundles and cross-sell offers that maximize incremental margin. Chooses bundle contents and pricing that lift attach rate without cannibalizing standalone sales.
Selects personalized renewal offers (perks and retention discounts off one published price) that maximize retained lifetime value per member. Balances price increases against churn risk using each member's usage and tenure.
Allocates limited ad slots and sponsorships across advertisers to maximize revenue while honoring commitments and frequency caps. Prices and schedules placements against forecasted supply.
Forecasts contact volume by interval and computes staffing that meets service-level targets at minimum cost, then routes contacts to the best-skilled agent. Combines Erlang staffing with skills-based routing.
Designs sales commission structures that drive target behaviors while capping cost and avoiding perverse incentives. Simulates rep responses to plan changes before rollout.
Proposes project staffing plans for your managers to approve, matching declared skills and calendar availability to deadlines to protect billable capacity and project margin. Re-proposes plans as scope and timelines shift; people are never scored on performance.
Schedules interview loops assigning interviewers to candidates and slots to balance load, cover required skills, and avoid conflicts. Re-solves as candidates and interviewer availability change.
For firms that cannot send documents to outside AI services. We install an open AI model on your own servers or private cloud, so staff use AI for drafting, summarising and questions while nothing leaves your network.
For businesses whose AI needs to write or classify in their own way. We build a repeatable process that turns your example data into a custom-trained model, tested against held-back examples before each new version goes live.
For businesses with lots of documents staff or customers search through. We build an AI that reads your documents and answers questions with citations to the exact source, tested against your own real questions.
We build a versioned evaluation suite that scores every model or prompt change against a golden dataset before it ships, catching regressions automatically. Results are tracked over time so you can see quality trending across releases.
We build an inline layer that detects and redacts names, emails, card numbers, health identifiers, and custom entities before text reaches any model or log. Redactions are reversible via a secure vault when authorized, so downstream systems still work.
For businesses with AI features that want proof one version beats another. We build experiments that split live traffic between prompt or model versions and measure real business results.
For app makers whose AI must work fast, offline or privately. We shrink a model and install it inside your phone app, browser app or device, so it runs without a server.
For teams whose AI lacks examples of rare cases. We build a pipeline that generates realistic made-up examples, checks them against your real data and records what was generated and why.
We build a validation layer that enforces schema, blocks unsafe or off-policy content, and checks factual grounding on every model response before it reaches a user. Failing outputs are auto-corrected or retried instead of shipped.
We build a feedback loop that captures user thumbs, corrections, and choices and turns them into DPO/RLHF training signal to steadily align the model to your users. Each cycle is measured against a held-out set to confirm real improvement.
We set up autoscaling GPU infrastructure that spins capacity up under load and down when idle, with queueing and priority classes. Jobs and inference share the pool efficiently so you stop paying for idle accelerators.
For businesses running their own AI models on costly servers. We tune your model serving so the same hardware handles more requests faster, and we measure before and after.
We deploy a grounding verifier that checks each generated claim against its source passages and flags or blocks unsupported statements. It scores faithfulness in real time and can force a regeneration when the answer drifts.
We distill a large model's behavior into a small, cheap one that runs at a fraction of the cost while keeping most of the quality on your task. We generate teacher outputs, train the student, and prove the quality gap is acceptable.
We embed an AI feature — summarization, drafting, search, or classification — directly into your existing app with proper auth, rate limits, error states, and analytics. It ships as production code in your stack, not a demo.
We build a defense layer that detects and neutralizes prompt-injection and jailbreak attempts hidden in user input or retrieved documents. It isolates untrusted content, strips instructions, and blocks tool misuse before harm occurs.
For businesses launching or growing AI features. We simulate many users at once against your AI and show how fast it responds, where it breaks and what capacity you need for growth.
We deploy monitoring that watches input distribution and output quality over time and alerts when the model starts drifting from its training baseline. It separates data drift from concept drift so you know whether to retrain or rethink.
For teams training and running their own models. We build a feature store so the same data definitions feed both training and live predictions, ending mismatches that quietly break models.
We build a pipeline that runs models over millions of records efficiently with checkpointing, retries, and cost controls. Large scoring jobs run overnight and resume cleanly if interrupted.
We set up progressive model rollouts that send a small slice of traffic to a new version, watch quality and error metrics, and auto-promote or auto-rollback based on the numbers. Bad models never reach all your users.
For businesses whose AI search misses because of specialist terms. We train the search model on your terms and examples so it finds the right documents, and measure the improvement against the standard model.
We build a memory layer that stores, summarizes, and retrieves conversation history so your assistant remembers users across sessions without blowing the context window. It balances recall with cost through tiered summarization.
For software companies adding AI features for many business customers. We build one backend that keeps each customer's data strictly separate, meters their usage and lets you set limits and models per plan.
We deploy a service that enforces per-user, per-team, and per-plan token and request limits with graceful degradation and clear quota feedback. It protects your budget and prevents any one client from starving the rest.
We build and deploy a moderation classifier tuned to your policy that flags toxic, unsafe, or off-policy content in text or images at scale. It ships with a review queue and continuous retraining from moderator decisions.
We deploy an ASR pipeline with speaker diarization, timestamps, and domain vocabulary tuning that transcribes calls and meetings recorded with participants' notice accurately. It runs on your infrastructure so recordings never leave your control.
For online stores and content sites that show everyone the same items. We build a recommendation engine that learns from browsing and buying to suggest the right products to each visitor, with your business rules on top.
For businesses that want to know when something odd happens — a sales drop, a payment spike, a system error surge. We deploy a model that learns what normal looks like and alerts you to real anomalies, not noise.
We build an adversarial test suite that automatically probes your AI for jailbreaks, data leakage, bias, and policy violations, and reruns on every release. Findings come with severity, reproductions, and remediation guidance.
For businesses whose questions need linking facts across many records. We combine a map of how your people, companies, products and documents connect with document search, so the AI answers multi-step questions.
We build retrieval and generation over both images and text so users can query across diagrams, screenshots, product photos, and documents together. Images are embedded, retrieved, and reasoned about alongside their surrounding text.
For companies offering custom AI per customer or task. We set up serving where one base model swaps in many small custom add-ons, so each customer gets their own tuned version without a dedicated server.
We shrink your model through pruning, quantization, and structured compression to fit tighter memory and cost budgets while measuring the quality tradeoff at each step. You get the smallest model that still meets your quality bar.
For software teams connecting several apps to their AI backend. We build a typed code library with retries, streaming, logins and error handling built in, plus documentation and examples in the languages your team uses.
For businesses whose AI search outgrew its demo setup. We move your search database to a production setup that handles growth and failures, switching over without downtime.
We build a harness that programmatically searches and optimizes prompts against your eval set, treating prompt engineering as a measurable optimization problem. It converges on prompts that outperform hand-written ones.
For teams that need to grade AI output at scale. We build an AI judge that scores answers on your rubric and check it against human ratings so you can trust its scores.
For businesses whose chatbot frustrates customers when it gets stuck. We build a chatbot that answers from your content and passes the conversation, with full context, to a person when it is unsure or the customer asks.
We construct a rigorously curated golden test set for your AI task with balanced coverage, expert labels, and adjudicated edge cases. It becomes the ground truth every eval and regression check runs against.
For businesses whose AI search goes stale or costs a fortune to rebuild every night. We build a pipeline that updates only what changed, with checks that search stays consistent.
We instrument your AI infrastructure to attribute GPU and token spend to teams, features, and customers, and surface waste like idle GPUs and oversized models. You get a live cost picture and concrete savings actions.
For tech teams that already run their software on Kubernetes and now have their own AI models to serve. We set up model serving that scales up when traffic rises, scales down when it is quiet, and rolls out new model versions safely.
We build a layer that constrains model output to a strict JSON schema or grammar so downstream code never chokes on malformed responses. Invalid outputs are constrained at generation time or repaired and revalidated.
We build a pipeline that finds and removes near-duplicate content by meaning, not just exact text, cleaning training sets and knowledge bases of redundancy. It clusters similar items and keeps the best representative of each.
We train a custom cross-encoder reranker on your click and relevance data so ranking reflects what your users actually find useful. We measure NDCG gains over generic rerankers before shipping.
We deploy a gateway that unifies multiple model providers behind one API with automatic failover, load balancing, and provider-agnostic keys. If one provider degrades or rate-limits you, traffic shifts seamlessly.
We build a classifier that routes incoming messages, tickets, or queries to the right intent and team with confidence scores and an unknown-intent bucket. It retrains from corrections so accuracy climbs over time.
We add watermarking and content provenance to your AI-generated text or images so outputs can be detected and traced back to your system. This supports AI-content labelling, brand protection, and misuse investigation.
We build an in-product feedback capture and labeling platform that turns user signals and reviewer decisions into structured training data. It closes the loop from production output to the next model improvement.
For teams running an AI assistant over their documents who cannot tell if a change makes answers better or worse. We build a test bench that scores how well your system finds the right documents, and reruns after every change.
For companies whose AI models get stale as customers and products change. We build a pipeline that retrains your model when new data arrives, tests it, and only puts it live if it does at least as well as the old one.
For shops and booking sites whose recommendations only work for regular customers. We add a layer that suggests good products to brand-new visitors and gives brand-new products a fair chance, using what items are like and the visit context.
We ingest your standard-operating-procedure library, runbooks and wiki, then deploy a grounded assistant that answers staff questions with the exact step and a link back to the source clause. Every answer cites the SOP version it came from, so stale guidance is never repeated.
We consolidate every location's operations playbook, brand standards and regional variants into one governed assistant, so any franchisee gets the approved answer for their market. Region-specific rules are enforced through metadata so no one gets another market's policy.
We index your source code, internal engineering wiki and design docs into a developer assistant that answers where a function lives, how a system works and why a decision was made. Answers cite the file, line and doc, scoped to repos the developer can access.
We ingest your company's connected sources (wiki, drive, tickets) and deploy a grounded copilot directly inside Slack or Teams that answers where employees already work. It respects each user's permissions and cites the source in-thread.
We deploy a real-time detector that spots BIN enumeration and card-testing bursts by watching micro-authorization patterns, decline ratios and shared device/IP fingerprints across your checkout. It auto-throttles, injects challenges, and quarantines attacking sessions before they burn your processor good-standing.
We deploy a model that separates genuine 'item not received' disputes from friendly fraud by correlating delivery evidence, device history, prior dispute behaviour and account tenure. Flagged first-party fraud gets auto-assembled representment evidence to win the chargeback.
We deploy controls on your outbound money movement — refunds, seller payouts, supplier payments — that score each payout against destination history, velocity and account-change events. Suspicious payouts are held for dual approval before funds leave.
We build a continuous ATO detector that models each user's normal device, geo, and behaviour, and scores login and post-login events for takeover signals like impossible travel, credential reuse and sudden setting changes. High-risk sessions trigger step-up auth or lockout in real time.
For online businesses whose login page gets flooded by bots trying leaked passwords. We deploy a detector that spots these waves, checks for known leaked passwords, and slows or challenges the attack until it stops.
We build a continuous authentication layer that watches for mid-session device, network and session-token drift indicating a hijacked session (no behavioural biometrics such as typing or mouse patterns). When continuity breaks, it forces re-authentication or terminates the session before sensitive actions complete.
We deploy a detector that finds review fraud by clustering reviewer accounts, timing bursts, text similarity, and purchase-verification gaps across your marketplace or storefront. Suspicious reviews are quarantined and rings are surfaced for enforcement.
We deploy a detector that catches serial free-trial abuse and multi-accounting by linking signups through device fingerprints, payment instruments, email/phone patterns and behaviour. Repeat abusers are blocked from re-triailing or converted to paid-only flows.
We build a network anomaly-detection system that baselines normal traffic and flags intrusions, lateral movement and beaconing that signature tools miss. Alerts are enriched, prioritized and pushed to your SOC or SIEM with context.
We deploy a monitor on privileged and admin activity that baselines expected use of high-risk accounts and flags off-hours, off-pattern and escalation anomalies. High-risk actions can require just-in-time approval before they execute.
For businesses with an API or website whose data gets scraped or whose API gets abused. We build a detector that learns each client's normal use and slows, traps or cuts off abusive ones.
We build a detector that scores employee expense reports for fraud and policy abuse — duplicates, inflated amounts, mischaracterized personal spend and out-of-policy vendors — using receipt parsing and peer-pattern models. Flagged reports route to finance review with the specific exceptions.
We build a detector for fraudulent and business-email-compromise invoices that flags fake vendors, altered bank details, and duplicate or inflated invoices before payment. Suspicious invoices are held with the anomaly and any bank-detail-change evidence for AP verification.
We build a click-fraud detection service that scores ad clicks for invalidity using IP/device reputation, click-timing, conversion-consistency and bot-behaviour signals. Invalid clicks are filtered in real time and compiled into refund-claim evidence for your ad networks.
We deploy a detector that flags impression fraud — bot traffic, stacked/hidden ads, and domain spoofing — by analysing viewability signals, traffic sourcing and placement patterns. Fraudulent inventory is scored and excluded from spend with the evidence for makegoods.
We build a detector that finds affiliate fraud — cookie stuffing, self-referral, fake leads and traffic laundering — by analysing conversion quality, traffic sources and affiliate-to-customer links. Fraudulent affiliates are flagged and commissions held before payout.
For app makers paying ad networks per install who suspect many installs are fake. We deploy a detector that checks install timing, device patterns and attribution data, rejects fake installs and prepares claw-back evidence.
We deploy a detector that finds revenue leakage — unbilled usage, pricing errors, missed renewals, and under-charged contracts — by reconciling entitlements, usage and billing data. Each leak is quantified and routed for recovery with the supporting records.
We deploy an automated anomaly-detection layer over your business metrics — revenue, signups, conversion, error rates — that learns seasonality and alerts on statistically significant deviations. Alerts include probable-cause segmentation so teams know where to look.
We build a graph-analytics detector for two-sided marketplace collusion — buyer-seller wash trading, review rings, and fee-avoidance loops — by linking accounts through transactions, devices and payment instruments. Colluding clusters are scored and surfaced for enforcement.
We build a detector for telecom fraud — SIM-box bypass, international revenue-share fraud, and Wangiri patterns — by profiling call-detail records for abnormal volume, destination and duration signatures. Suspicious numbers and routes are flagged for blocking with the evidence.
We build a detector that flags location-spoofing risk — VPNs, proxies, TOR, residential-proxy networks, and GPS spoofing — to protect geo-restricted, licensing and fraud-sensitive flows. Each request gets a location-trust score with the spoofing signals for policy decisions.
We deploy a configurable velocity engine that tracks counts and sums across any entity — card, device, email, IP, address, account — over sliding windows and triggers rules when thresholds are breached. It gives your fraud team a self-serve way to author and test velocity rules without engineering.
For businesses with several fraud tools, rules and lists that do not talk to each other. We build one decision service that combines them all and returns approve, review or decline with reasons, and logs every decision.
We deploy a case-management workbench that aggregates alerts from all your detectors into a prioritized, deduplicated review queue with full entity context, linked history and one-click actions. Analyst dispositions feed back as labels to continuously improve your models.
We deploy a graph platform that continuously builds a network of your entities and transactions and runs link-analysis, community detection and graph features to expose hidden fraud relationships. It powers other detectors with graph signals and lets investigators explore connections visually.
We deploy a system that ingests incoming disputes, classifies reason codes, decides fight-vs-accept by predicted win probability, and auto-assembles representment evidence packages from your order and delivery data. Winnable disputes are contested automatically within network deadlines.
For teams meeting with clients, suppliers or colleagues who speak other languages. We add an assistant to your video meetings that shows live translated captions and speaks the translation for each person, then sends a translated summary afterwards.
Continuously pulls calls, chats, emails, reviews and survey text into one place, then extracts themes, complaints, feature requests and sentiment trends across every channel. Surfaces emerging issues on a live radar before they blow up.
Analyzes recorded sales calls for talk-to-listen ratio, discovery-question quality, objection handling, competitor mentions and next-step commitment, then gives each rep a private coaching scorecard on their own calls, while managers see only team-level patterns. Reps are never ranked against each other and scores are not used for employment decisions.
Listens to live support and sales calls where callers have been told the call is transcribed, and surfaces the right knowledge-base answer, next-best-action and script reminders you define to the agent in real time. Auto-fills the wrap-up notes and disposition when the call ends.
Captures the meetings where everyone has been told it is recorded, produces a structured summary with decisions and action items, then routes each task to the right person in your project and ticketing tools. Owners get reminders until items are closed.
Transcribes and clusters inbound calls to discover the true reasons customers call, mapping them against your IVR menu and self-service options. Identifies which call reasons are deflectable and where the IVR misroutes.
A managed pipeline that localizes your marketing and product content across many languages with translation memory, brand glossary and in-context QA. Syncs approved translations back into your CMS automatically.
Produces accessibility audio description for video: detects gaps in dialogue, writes described-video narration, synthesizes or records it, and mixes it into a described audio track. Delivers described versions at scale, written to WCAG audio-description guidance for your team to review.
Aggregates reviews, NPS/CSAT verbatims and app-store feedback, then classifies drivers, detractors and promoters and quantifies their impact on your score. Tracks driver movement over time and by location.
For organisers of live streams, webinars and broadcasts who need captions in real time. We deliver fast live captions with your names and terms spelled right, a guard against bad language, and a console where an operator can fix mistakes live.
Processes multi-speaker recordings to separate and label each speaker, producing attributed transcripts even in overlapping speech. Speakers are named per recording from the names you assign; no voiceprints are stored.
Analyzes call transcripts and chat text for escalation language, repeated unresolved issues and churn signals in near real time, alerting supervisors before a customer walks. Correlates escalation patterns with outcomes and issue types (no voice-based emotion inference, no per-agent scoring).
Automatically detects and bleeps/masks personal data, card numbers and health identifiers in both audio and transcripts before storage or sharing. Produces a redaction log proving what was removed and when.
Localizes video into new languages with translated, timing-matched dubbed audio using licensed synthetic voices chosen to match the original delivery. Handles lip-sync-aware timing and delivers mixed masters per language.
Processes your library of recorded trainings and webinars into a searchable knowledge base with topic-indexed clips, Q&A pairs and quick-reference guides. Keeps it updated as new sessions are added.
Scans user-generated and broadcast audio for hate speech, threats, self-harm and policy violations, with timestamped flags and a human-review queue. Enforces your policy consistently across large volumes.
Continuously transcribes radio, TV and podcast streams and alerts you the moment your brand, executives, competitors or keywords are mentioned, with the clip attached. Tracks share-of-voice and sentiment over time.
Ingests open-ended survey responses in any language, translates, and codes them into your codebook with sub-themes and sentiment, at full sample size. Delivers coded data back to your analytics stack with inter-rater-style consistency.
After every sales or service call, automatically writes a structured summary, updates deal and contact fields, logs next steps and creates follow-up tasks in your CRM. Keeps your deal records clean without reps typing them in.
Silently coaches agents during live calls with real-time nudges on empathy, compliance, pacing and required steps, visible only to the agent. Gives each agent a private post-call recap; supervisors see only team-level coaching themes.
For companies building their own speech or language AI who need good labelled data. We build and maintain labelled datasets from your recordings and text, with transcription, speaker, intent and detail labels, quality checks and version control.
Keeps your help center and knowledge base translated and in sync across every language: when an English article changes, it re-translates, flags for review and republishes the affected locales. Enforces terminology consistency.
Sits in front of your contact channels, detects the caller's/writer's language on the first utterance and routes to the right language queue, agent or translation bridge. Logs language demand for staffing decisions.
Aggregates employee survey open-text, exit interviews and town-hall Q&A that staff submitted for that purpose to surface engagement drivers and attrition risk themes — anonymized and aggregated. Tracks sentiment over time by department, only where enough responses keep people anonymous.
Links complaints across calls, emails, chats and reviews to the same underlying issue and quantifies root causes, affected products and cost of inaction. Feeds prioritized fixes to product and ops.
Produces narrated, localized voiceover for e-learning modules with synchronized on-screen text, quizzes and captions in every target language. Regenerates audio automatically when course content changes.
Analyzes discovery calls specifically for question quality — depth, MEDDIC/SPIN coverage, pain uncovered and next-step conversion — and coaches reps toward better questioning. Correlates questioning patterns with deal outcomes.
Enables agents and customers to chat in their own languages with real-time bidirectional translation, glossary control and quality flags on risky translations. Logs bilingual transcripts for QA.
Detects repeat contacts about the same issue across calls and channels to measure true first-call-resolution, and diagnoses why customers call back. Pinpoints the topics and processes driving repeats (team-level, not used to rate individual staff).
For teams that meet often and forget what was agreed. It reads your meeting recordings and notes, links every decision to the people and projects involved, and lets you ask in plain words what was decided and when. It also warns you when a new decision clashes with an old one.
Measures how closely reps and agents follow approved talk tracks and scripts across calls, scoring adherence, deviations and the impact of going off-script. Highlights which script sections get skipped.
Analyzes text-channel conversations — chat, email, messaging — for intents, resolution, sentiment, effort and compliance, complementing your voice analytics. Unifies text and voice insight in one dashboard.
Delivers a training program that records learners, scores pronunciation and intonation against targets, and returns targeted drills and progress tracking. Offered as opt-in self-practice; scores are visible only to the learner.
Detects and verifies host-read and inserted ads across podcast and audio inventory — confirming they aired, at the right length, with required disclosures — and reports discrepancies to advertisers/networks. Tracks brand-safety context.
For businesses with videos that nobody finds through search. It writes transcripts, captions, titles and descriptions in several languages, adds the markup search engines read, and keeps your site's video pages in sync.
Correlates automated post-call/IVR surveys with the actual call content and sentiment to explain why customers scored as they did, and to flag surveys that contradict the call. Feeds validated CX metrics to leadership.
Indexes all your audio/video so users can search in one language and find spoken moments in any language, jumping straight to the timestamp. Powers internal discovery across a multilingual media archive.
Mines support and sales calls specifically for product bugs, feature requests and competitive gaps, deduplicates them, and files structured tickets into your product backlog with linked call evidence. Quantifies request demand.
An automated optical inspection station images populated circuit boards and detects missing components, wrong parts, tombstoning, bridging, and cold solder joints. Defective boards are flagged with per-component coordinates for rework.
At the end of a station, vision confirms all required parts, clips, screws, and connectors are present and correctly positioned before the unit advances. Missing or wrong parts halt the line with a callout image.
Vision verifies wire routing, connector seating, terminal color/position, and lock-tab engagement on assembled harnesses. It flags mis-routed or unseated connectors before the harness ships.
Vision inspects molded plastic parts for flash, short shots, sink marks, flow lines, burns, and color deviation right at the press. Defective shots are rejected and recurring defects flag mold or process drift.
For consumer electronics, appliances, and trim, vision detects fine scratches, dents, and cosmetic blemishes under controlled lighting that human inspectors miss. It grades cosmetic quality and routes rework or downgrade.
Vision inspects battery cells and modules for surface defects, electrode alignment, weld quality on tabs, and leakage signs. Defective cells are rejected with defect maps to protect pack safety.
For subscription companies whose revenue schedules break every time a contract is upgraded, downgraded or cancelled mid-term. It reads the changed contract and billing history, recalculates the schedule using the policy your controller wrote down, and posts the adjusting entry, holding large adjustments for sign-off.
For software and hosting companies that promise uptime in contracts and work out credits by hand. It watches your status page and monitoring, applies each customer's actual SLA terms, calculates the owed credit when a breach happens, and posts it to billing, holding tricky cases for finance.
For subscription businesses where customers quietly use more seats, calls or storage than they are billed for. It compares live usage with billing and contracts, drafts billing corrections for your finance team to approve, and creates upsell tasks for account owners when the gap is large.
For subscription businesses losing customers to expired or declined cards. It reacts to card failures as they happen, retries at better times, sends friendly card-update reminders and keeps subscription status current.
For sales teams waiting days for discount approvals. It checks every quote against your pricing and discount rules as reps build it, approves quotes within policy instantly, and sends others to the right approver with the exact rule broken highlighted.
For companies whose contracts hold renewal dates, volume commitments and agreed price changes that get missed. It copies these from your contracts, compares them with what you deliver and bill, and gives your team a task with the details before each one comes due.
For software companies whose AI must produce answers that can be checked automatically, like database queries or code that must pass tests. We train your model against your own checker so it learns from what is actually right.
For companies whose AI bills keep growing without knowing who uses what. We put one gateway in front of all your AI traffic that tags each request with the team, sends costs to your finance codes, and caches repeated requests to save money.
For software companies whose busiest AI feature is slow because of the code around the model, not the model itself. We rewrite that one slow path in a fast systems language, keeping the same interface so nothing else in your product changes.
For companies running an AI agent as a simple script that starts over whenever something fails. We move it onto a durable workflow engine so every step is saved, a crash resumes where it stopped, and actions like payments or emails never happen twice.
For organisations with a very large library of their own documents, like technical manuals or research archives. We continue training an open model on that library so it truly understands your field's words, then fine-tune it for your tasks.
For companies whose AI makes decisions customers may question later. We record each decision with its input, model version and output in a log that cannot be edited, so you can show exactly what happened months later.
For businesses whose answers are spread over databases, shared documents and internal systems. We build one assistant that searches all of them at once and follows your rules when sources disagree, so the live system beats an old document.
For growing companies tired of rebuilding the budget spreadsheet. We connect your accounts and business drivers like headcount and volume, re-forecast every month, and explain in plain English why results differed from plan.
For finance teams closing the books each month. The AI checks every account's movement against its normal pattern, flags unusual ones, and drafts an explanation from the underlying transactions.
For companies whose invoices don't always match what customers signed. The AI reads the real terms from your contracts and checks them against what billing actually charges, flagging missed price rises, wrong tiers and unapproved discounts.
For service firms whose workload depends on sales. We turn your expected sales and current utilisation into a plan of how many people you need by role and location and when, with what-if scenarios.
For companies using many contractors and project-based suppliers. We pull contractor timesheets, milestone bills and budgets into one view, and flag overspend, billed milestones that aren't done, and contractors past the tenure limit you set.
For sales teams whose forecasts are too hopeful or too cautious. We compare each rep's and manager's past forecast calls with what actually closed and adjust this quarter's forecast for each person's habits.
For sales teams with commission plans that are hard to calculate. We calculate every rep's payout from real closed deals each period, including accelerators and clawbacks, and let you test new plans on past data before launch.
For companies whose quotes take too long to approve. We analyse each quote's real approval path and show which step or discount level holds deals up, with suggestions to speed it up.
For subscription businesses that need a forecast they can trust. We connect your billing and product usage, model how each group of customers renews, upgrades and cancels over time, and refresh your recurring revenue forecast every week.
For marketplaces where both supply and demand swing during the day, like equipment rental, delivery capacity or local services. The AI forecasts the next few hours of supply and demand and sets prices so both sides keep using your platform.
For internet providers and network operators who find congestion only when customers complain. The AI forecasts traffic on each link from your network telemetry and recommends capacity and routing changes before peaks hit, pushing them to your network controller only after your engineers approve.
For software companies paying for cloud servers that sit half empty. The AI forecasts how much computing power and memory each of your services really needs, then recommends server sizes and where each service should run, keeping response times on target while trimming the bill.
For subscription and repeat-purchase businesses that want to know which customers are worth most and who is about to leave. The AI learns from your billing and CRM history, scores every customer's expected future value and cancellation timing, and puts those scores in your CRM.
For software and online businesses that grow by upgrading existing customers. The AI reads product usage and billing history and predicts which accounts are ready for more seats or a higher plan this month, then puts a ranked list in your CRM with the reason for each.
For B2B companies with signals spread across CRM, website visits and third-party intent feeds. The AI combines them into one buying-interest score per account, updated continuously, so sales knows who to contact first.
For businesses spending on ads in many regions. We design fair tests where ads run in some regions and pause in matched ones, then measure the extra sales the ads truly caused, so you know which spend to keep.
For marketing and growth teams asked every Monday why revenue, cost per customer or conversion moved. The engine breaks each change down into its real causes, like channel mix, prices, traffic sources or device types, and writes the answer in plain English.
For businesses that rely on website analytics, ad pixels, server tags and CRM webhooks. We monitor every tracking source for missing events, changed formats and sudden drops, so a broken pixel after a site update is found within hours instead of weeks of wasted ad spend.
For companies where marketing reports one revenue number and finance reports another. We match marketing's leads and attributed deals with finance's actual closed and recognised revenue, explain every gap, and produce one agreed report each month.
For businesses whose prospects move through many steps from ad click to closed deal. The AI models every step from your CRM and ad data and shows which specific step is losing more people than it should, by segment, and how much it is costing.
For websites and apps running experiments. We set up testing that stays valid even if you look at results every day, and uses each visitor's past behaviour to reach clear answers with less traffic, so you can stop tests early with confidence.
For companies whose fraud or abuse model is being dodged by clever users. We attack your model on a schedule the way cheaters would, then retrain it on what slipped through so it keeps getting harder to fool.
For tech and online businesses whose security tool fires generic, noisy alerts. We write detection rules tuned to your own logs, test each against months of history first and only ship rules that stay quiet unless something is real.
For security teams buried in alerts. The AI learns from how your analysts closed past tickets and labels each new alert as likely real, likely noise or known harmless before it reaches the queue.
For businesses paying per gigabyte for security logs. We filter and reshape noisy logs before they reach your security tool and prove alerts still fire the same way.
For growing software companies who no longer know who has access to which systems. We map every person's real access across your login provider, cloud and key apps, flag risky combinations and leftovers, and propose fixes.
For software teams who need to know exactly what goes into every release. We add automatic ingredient lists, build records and signing to your build process, and block releases that break your own rules.
For teams whose live cloud settings drift from what their code says. We compare the two continuously, rank each difference by real risk and open a ready-made fix in your code.
For businesses hit by phishing and fake invoice or fake boss emails. The AI learns from phishing your staff reported and checks every incoming email, quarantining dangerous ones and sending unclear ones to review.
For software teams with API keys and service accounts scattered everywhere. We list every machine account and secret, flag the ones that are old or too powerful and open fixes to rotate them.
For teams running apps on Kubernetes. We learn how each workload normally behaves and alert when one starts doing something unusual, like opening a shell or calling a strange address.
For businesses on Microsoft 365 or Google Workspace. The AI watches admin logs for signs an account was taken over, like hidden forwarding rules or odd app permissions, and can cut the session automatically.
For businesses where staff connect outside apps to company email and files. We list every connected app, score its risk and revoke or route risky ones for approval.
For software teams drowning in scanner findings. We check whether each reported vulnerability can actually be reached in your running code and push the real ones to the top.
For device makers who want customers to talk to their kiosks, intercoms or vehicles with their own brand phrase. We train a small model on your phrase that runs on the device without the internet.
For software teams trying to retire old APIs and libraries. A bot checks every new commit for calls you've marked as outdated and opens a ready-made fix the moment one appears.
For software teams whose tests pass but still miss bugs. We find the code paths your tests don't really protect, write new tests for exactly those, and add a check that stops weaker test coverage from being merged.
For software teams whose builds fail at random and get rerun until green. The AI learns from your build history which tests are genuinely flaky versus real failures, and quarantines flaky ones so releases keep moving.
For software and gaming teams whose app gets slower one commit at a time. The system compares every new commit's speed tests with your history, flags genuine slowdowns and ignores normal noise.
For software teams whose senior engineers keep writing the same review comments. We train a review bot on your own past reviews, including which comments led to changes and which merges were later reverted, so it gives every new pull request a first review in your team's style.
For software teams with growing build bills and developers waiting on slow pipelines. We profile where build minutes and runner money go, then keep tuning runner sizes, parallel jobs and caching to save time and spend.
For software, game and online store teams flooded with crash reports. The AI groups crashes by cause, writes a small test that reproduces each new one and drafts a fix for common bug types.
For software companies paying for AI on every user request. We measure which AI model is good enough for each kind of request using your own past answers, then route each request to the cheapest one that passes.
For teams running AI agents that take actions for customers. We record every step your agents take, then replay those real runs against any change before it ships so you see exactly what broke.
For companies whose AI assistant answers from their documents but often gets it wrong. We find out whether it is fetching the wrong documents or misreading the right ones, fix the search, and rebuild your index.
For businesses whose AI agent reads emails, pages or tickets and can take actions. We attack it like a real intruder would, show every trick that worked, fix each hole and keep testing on every release.
For products where users keep asking similar questions. We store good AI answers and reuse them when a new question means the same thing, so you stop paying again for answers you already have.
For companies with lots of AI usage logs and a task general models keep getting wrong. We turn your past requests and your team's corrections into a training set, train your own tuned model and prove whether it beats the standard one.
For companies with AI features and a support inbox full of past mistakes. We turn closed tickets and your team's corrections into tests your AI must pass, run them on every change and report what fails.
For businesses with customers writing in many languages. The AI answers common questions inside your helpdesk in the customer's own language, using your documents and past answers, and hands over to a person when unsure.
For companies running several AI features and losing track of what they cost and how well they work. Every request is traced from question to outcome, so you see spend and quality side by side per feature.
For subscription businesses losing customers quietly. The AI notices accounts drifting away from real usage and billing signs, then acts: a helpful in-app nudge, a task for the account owner, or an offer within limits you set.
For businesses running ads that keep going stale. The AI writes new ad versions in your brand style, launches them under your budget limits, keeps the ones that bring sales and drops the rest.
For sellers whose prices must stay competitive every day. We watch competitor prices through allowed sources, match their products to yours, and adjust your prices within the margin floors you set.
For software teams stuck on an old framework or language version. An AI agent upgrades your code piece by piece, runs your tests after every change and only keeps what passes, in small changes your team can review.
For companies whose cloud bill keeps growing. We measure what your services really use over a full busy cycle, resize them, add sensible auto-scaling and cheaper spare capacity, and roll back automatically if anything slows.
Your card processor pays you one lump sum for many sales minus fees and refunds. We break every payout down and post it properly in your accounting software, so your sales and fees are right without manual entry.
We look at which of your paid software accounts are actually used. With your approval we remove unused ones, move their files to the right person, and show you what you saved.
We track how much of each client's prepaid hours are used, keep them updated, and send the top-up invoice automatically before it runs out.
Every hour we place a test order, fill in your forms, book a test appointment and ring your phone line, and check each one really works — and tell you straight away if something breaks.
We work out what each affiliate or creator earned from real sales, take off returns, and prepare their payments and statements for you to approve.
When you win a client, we request access to all the accounts you need the safe way, check it works, chase anything missing and remove access when the work ends.
We keep a list of everything your business can't run without — domain, security certificate, store plan, phone line — check it daily and warn you well before anything expires.
We keep your prices in each country's currency up to date with exchange rates, round them sensibly, keep your margin and update your shop and billing once you approve.
We match each bug report to the existing issue in your developers' tracker, show how many paying customers are affected, and tell those customers when it's fixed.
When resellers order your software for their clients, we set up the client's account, bill the reseller at their discount and keep track of renewals.
When a company buys several seats on your course, we set up their team, invite their people, let their admin swap seats around and bill them when they add more.
If one of your customers loses data, we can bring back just their data from a chosen time without affecting anyone else.
We sort your company documents into a proper data room, pull out key dates and terms, and tell you what's missing.
We build the system that keeps track of credits and balances in your app so every number adds up and matches your payment records.
We build tools inside your product that bring a new customer's data over from the software they're leaving.
Every day we check the public tender sites, pull out what each contract needs, and send you the ones that fit your business.
We work out how much of your cloud bill each customer uses, so you can see profit per customer and per plan.
We let your customers receive their activity logs from your software directly into their own tools.
We read your customers' service agreements and, whenever a job is booked or invoiced, show what's covered and apply it.
We compare the software licences you pay for, the ones your clients actually use, and what you bill them, client by client.
We watch every electronic part in your products and warn you when one is being discontinued, with alternatives and which products are affected.
We price every call your customers make according to their plans and send the totals to your billing system.
We train a model to recognise the specific things your app cares about and deploy it on your own account as an API your product calls.
We spot help videos that show old screens of your product and re-record them automatically for your approval.
Students can search for anything that appeared on screen in your course videos and jump straight to that moment.
We replace the words that appear inside your videos with translated text in the same style, for each language you sell in.
We train a generator on your mascot so your team can make new, consistent images and animations of it whenever needed.
Every video is checked for glitches, sound problems and frozen frames before it's published.
We automatically blur passwords, keys and customer details in your screen recordings before you share them.
Every time you release, we capture and design fresh store screenshots in every language and upload them for you.
We turn each customer's activity with you into their own short video recap, sent automatically.
We train a generator on your game's art so you can create new sprites, tiles and icons that match perfectly.
We connect to the tool your developers use to track work and learn from your past sprints. Each morning every open ticket shows how likely it is to slip, and why, so you can fix it early.
If your customers pay for what they use, your revenue jumps around. We connect your usage data and billing and forecast what each customer will be billed next month and next quarter, and check ourselves against every real invoice.
We learn from everything that has sold and not sold on your marketplace. When a seller lists something new, they see a suggested price and how quickly it is likely to sell.
We collect what people search for and can't find on your site, what they ask about and what they wanted when it was out of stock, group it into real product requests and rank them by how much they would likely sell.
We work out how much to raise prices for each type of customer, and when, so the extra revenue outweighs anyone who leaves, then track whether it worked.
We study how each customer uses your API and what each call costs you, then set usage limits that protect your servers without blocking customers who are paying.
We check every survey answer as it comes in and set aside fake or junk ones before you pay incentives or analyse results.
We watch the in-game currency and item flows and catch copying glitches, farming bots and suspicious trading as it happens.
We check each request to send a verification text and block the ones that look like an attack, so you don't pay for messages to fraudsters.
We look for bidders who seem to be working with sellers to push prices up and flag those auctions before they close.
We watch your payments as they happen and alert you within minutes when a card type, country or device suddenly stops going through.
We learn how each customer normally connects to your product and alert your team as soon as one of those connections quietly stops working.
We watch what's running on your free accounts and automatically stop crypto-mining, proxies and other abuse, along with the linked accounts behind it.
When a seller or supplier gives a tracking number, we check it's real, going to the right place and not reused, before money is released.
We look at how buyers in each country respond to your prices and set a price for each one that brings in the most, while stopping people faking their location to get a cheaper price.
Each recording uploaded to your marketplace is checked for noise, echo, clipping and wrong format, and the voice artist is told exactly what to fix.
We train a translation engine on your past translations, plug it into the tool your translators use, and mark which sentences need a careful human check.
We use your own search history to power the suggestions and typo fixes that appear as people type in your site's search box.
We let people using your web app say what they want done — like 'create an invoice for Acme' — and the app does it after they confirm.
Your team asks questions like 'which stores sold fewer umbrellas this month' in chat and gets an answer pulled from your own database, with the working shown.
we build and deploy the connection that lets AI assistants sign in to your product and use it on your customers' behalf, with limits you set.
When the AI model your product uses is being shut down, we move you to a replacement and test on your real requests that it works as well before switching.
We take the prediction model someone built in a notebook, get it working again, and run it as a proper service your systems can use, with checks that it still works.
Every AI model or dataset your team downloads is automatically checked for hidden harmful code and licence problems before it can be used.
We collect sensor recordings from your device, train a tiny model that recognises the events you care about, and fit it onto your device's chip.
Before an AI model trained on your private data goes live, we test whether it can be made to repeat that data, and stop it from shipping if it can.
We group everything users ask your AI feature into topics and show which kinds of requests it handles badly, so you know what to fix next.
Before each update of your chatbot goes live, it runs hundreds of realistic practice conversations against it and show you where it failed.
We build a model that sorts your records into your own categories, using rules from your experts instead of months of manual tagging.
We add a confidence check to your existing AI model so it only acts automatically when it's reliably sure, and sends the rest to your team.
We find the specific kinds of cases where your AI model makes mistakes, name them, and keep checking them after every update.
We add a feature to your software where each of your customers can train their own version of your AI on their data, tested before it goes live.
We package your AI product so your customers can install and update it on their own servers or cloud accounts, with licence keys.
We train a code-suggestion model on your own codebase and run it on your servers, so your developers get suggestions that fit your code without it leaving your company.
We put a checkpoint between AI agents and your business systems so they can only do what you allow, and anything risky waits for a person to approve.
We shrink the search database behind your AI features, test on your real searches that results stay just as good, and alert you if they don't.
We use your past search and click history to estimate how a new ranking or recommendation model would have done, before you test it on real customers.
AI players play every new version of your game looking for crashes, places players get stuck and unfair difficulty, then report them to your bug list with replays.
Your users describe the rule, filter or formula they want in everyday words, and your product writes it for them — checked before it is used.
We compare your finished voice recordings against the script and list every skipped line, misread word or leftover retake, so editors fix them quickly.
We build an internal admin tool for your staff on top of your existing database, so they can find, edit and approve things themselves — with permissions and a full history of who changed what.
If you run a software product, we build a public API for it — with keys your customers create themselves, sensible limits per plan, a developer website with examples, and tests that stop it breaking.
If bigger customers ask for 'single sign-on', we add it to your software: their staff log in with their company account, and people are added or removed automatically as they join or leave.
We connect your business system to your team chat. Staff can look up customers or orders with a quick command, approve things with one click, and get alerts in the right channel.
We move your business from one CRM to another — all contacts, deals, notes and history — and rebuild your automations and connections so your team picks up where they left off.
We record every change made in your CRM, so if someone imports the wrong file or wipes a field, we can put the records back exactly as they were.
Scammers can send emails that look like they come from your business. We set up your domain so those emails are rejected, while making sure your real emails — invoices, newsletters, receipts — still arrive.
We go through your company email and file-sharing settings and lock them down: two-step sign-in for everyone, old back doors closed, sneaky forwarding rules removed — and we re-check every week.
When a staff member leaves, we switch off their access to all your business tools in one go, pass their files and email to a colleague, and keep a record of what was removed.
Criminals sometimes sneak code onto checkout pages to steal payment details. We lock down which scripts can run there and check your checkout regularly, alerting you if anything new appears.
Before a big sale or launch, we send a simulated crowd of shoppers to your site, find what slows down or breaks, fix it, and test again — so the real day goes smoothly.
We set up your team's work laptops and phones remotely so they're encrypted, update themselves and lock automatically — and if one is lost, it can be wiped.
We secure the servers your website or app runs on — only the doors you need are open, logins are protected, and security updates are installed on a regular schedule.
We set up a ready-to-go second copy of your app in another location, kept up to date with your data. If your main hosting fails, traffic switches over — and we test it every quarter.
We add passkeys to your app, so your users can sign in with their fingerprint, face unlock or PIN on their own device instead of a password.
If people upload files to your website or app, we check each one for viruses, make sure it's really the type of file it claims to be, and remove hidden location data from photos.
Apps built fast with AI tools often let users see other people's data. We fix the code and database rules in your app so each user only reaches their own information, with tests that stop it coming back.
We upgrade the database behind your app to a current, supported version while your app keeps running, after a full rehearsal on a copy.
We lock your web addresses so they can't be transferred away, secure the accounts that control them, and alert you if any setting changes.
If customers need their data held in a certain region, or your app is far from your users, we move your app and data there with only a brief switchover.
If your software hosts pages for your customers, we let them use their own web address instead of yours — with secure HTTPS set up and renewed automatically.
We build a private browser add-on for your team. It shows information from your own system next to the website they're on, and saves details from that page into your system with one click.
We give your event team a phone app to scan business cards and badges, add quick notes, and send everything straight into your CRM, assigned to the right person.
We encrypt the most sensitive information your app stores, with the keys kept somewhere else, so a stolen copy of your database doesn't reveal it.
We build a support screen for your software team: look up any customer, see their account as they see it once they agree, fix common problems with one click, and keep a record of everything done.
If your mobile app is slow to open or jerky to scroll, we find exactly why on real phones, fix it in your code, and add checks so it doesn't get slow again.
We add a security page to your app where users see the devices signed into their account and can sign out of all of them. We also block passwords known to be leaked and email users when a new device signs in.
We rebuild how permissions work in your software so your customers can create their own roles — like 'can view but not edit invoices' — and we test every role so nobody gets access they shouldn't.
If you sell apps to your clients, we set up one app that is automatically rebuilt with each client's name, logo and colours and published for them, so updates reach every client together.
When a freelancer or agency needs access to your website, shop or tools, we give it with an end date. It's approved first, and removed automatically when the work is done.
Your developers get warned about a whole family of mistakes before the code ever runs. We add the types across your code in small, reviewed changes, fix the real bugs this uncovers, and set a check so it never slips back.
When one part of your software holds everything else back, we lift it out into its own service. We test it against your real traffic in the background first, then move users over gradually with a way back at every step.