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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.