Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
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 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 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 whose quote, booking or sign-up forms get started but not finished. The system notices where people hesitate and offers help on the spot, lets them save and come back, and emails only those who agreed.
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 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 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 with long quote, booking or application forms that people give up on. The AI asks the questions like a friendly chat, understands normal replies, checks answers as it goes and sends a clean, complete enquiry to you.
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 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 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 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.
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 that want to know right away when they gain or lose a Google position. The system tracks your keywords by location and device and alerts you with the likely reason when something moves significantly.
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 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 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 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 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 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 that answer the same customer questions again and again. The AI collects the questions people actually ask in searches, reviews and support emails, writes accurate answers, and publishes them as tidy help pages with correct markup.
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 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 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 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 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 travel agencies and tour operators whose staff build itineraries by hand. The AI plans multi-stop trips against live availability and prices, books them through your supplier accounts after confirmation, and re-plans if something changes.
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 that must be careful about what their marketing says. The AI writes copy but blocks any claim not on your approved list, and adds your own disclaimers where your rules say.
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 whose articles and pages lack proof of experience and expertise. The AI reviews your content for missing sources, author details and real-world evidence, then rewrites weak sections using only facts you provide.
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 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 writing is too complex for their customers. The AI rewrites any text to the reading level, tone and channel you need, keeping the meaning and using inclusive language.
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 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 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 where many people write emails, posts and pages, and the brand style drifts. The system checks every draft against your style guide and preferred terms and suggests fixes before anything is published.
For businesses that want fast marketing copy but need someone to check claims and offers first. The AI writes the copy, flags claims, comparisons and offers against your house rules, and sends only the flagged items to your reviewer.
For local businesses that customers ask about through voice assistants and AI search. We write short, natural answers to the questions people actually ask, publish them on your site, and add tidy markup so search engines can read them.
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 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 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 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.
For creators, coaches and charities with a big archive of good posts nobody sees anymore. The AI finds your evergreen winners, refreshes their wording or format, and puts them back in your schedule when your audience is ready to see them again.
For businesses where every post or ad must be checked before going out. The AI pre-screens drafts against your rules, ranks them by risk with a short reason, and lets reviewers clear low-risk items quickly.
For service businesses paying for Google searches that never turn into clients. The AI reads every search that triggered your ads, finds specific high-intent phrases worth bidding on, and blocks the ones wasting money.
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 local and service businesses paying high prices per click. The AI works out why Google rates your ads and pages as it does, and lists the fixes to ad text, keywords and landing pages that matter most.
For businesses whose ads get rejected or who worry about saying something they should not. The AI checks each image and text against ad platform policies and your own claim rules before submission, and points to the exact rule at issue.
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 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 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 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 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 online sellers who know their revenue but not their real profit per order. The AI adds up shipping, returns, discounts, payment fees and ad costs for each order and product, and shows which ones truly make money.
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 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 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 owners who keep needing flyers, social posts, and web banners laid out but have no designer on staff. You paste in your text and photos, and the AI arranges them into clean, on-brand layouts ready to post or print.
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 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 publish catalogues, magazines, brochures, or annual reports. Send the text and photos and the AI lays out every page in your style, ready to print or share online.
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 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 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 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 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 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 teams who want to ask 'what if' questions about next quarter without a data analyst. Pick a number, a time ahead, and move sliders for price or spend; the dashboard shows the forecast range and what drives it.
For owners who know revenue but not real profit by product, customer, or channel. The explorer lets you slice your margin any way you like and click through to the costs behind it.
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 owners who compare budget with actual results each month and want to know why they differ. The system reconciles your figures, splits each gap into price, volume, and mix, and writes a short commentary you can share.
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 receiving complaints by email, forms, and reviews. The AI sorts each complaint by type and urgency and sends urgent ones straight to the right person.
For businesses that get negative reviews and want to put things right with the customer. The AI finds unhappy customers you can help, drafts a genuine recovery message for your approval, and tracks whether the issue was fixed. It never asks anyone to change or remove a review and never offers anything for doing so.
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 that live by their star rating. The system projects where each location's or product's rating is heading and shows how many new positive reviews it would take to reach a target by a chosen date.
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 get reviews which seem wrong, like complaints about a visit that never happened. The AI compares review claims with your own records and flags inconsistent ones with evidence, so you can reply calmly or use the platform's normal reporting process.
For local businesses that want to know where they appear on Google Maps across their area. We check your ranking at many points around your location, find what holds you back, and give you a prioritised to-do list that we start on.
For local businesses missing from the directories and listing sites customers and search engines trust. We map where you are listed, find the valuable sites where you are missing, and work through submissions for you.
For local businesses in competitive areas. We watch competitors' Google listings and local search positions and tell you when they change categories, post offers, or gain reviews, with a suggested response.
For local businesses doing many things, posts, reviews, listings, and ads, without knowing which ones bring money. The system joins rankings, profile data, calls, and sales to show which actions led to revenue.
For local businesses that want other local websites, like event pages, associations, and local news, to link to them. The AI finds genuine local link opportunities, drafts friendly personal outreach for your approval, and keeps track of every conversation.
For service-area businesses like plumbers, cleaners, and mobile groomers. The AI maps where your enquiries come from, how far you drive, and where you rank, then recommends which areas to list and where a second location could help.
For local businesses whose listing questions go unanswered or get wrong answers from strangers. The system watches for new questions, drafts accurate answers from your own information for your team to post as the business, and flags misinformation.
For local businesses that are not sure which searches to go after. The AI groups the searches people use to find businesses like yours by intent and difficulty, then gives you a ranked plan of pages and listing changes worth doing first.
For local businesses that want local press coverage. The AI watches local news and community channels for story opportunities, drafts pitches for your approval, and tracks what gets published.
For businesses that get many phone calls from ads and listings. Calls recorded with the caller's notice are transcribed, and the AI marks each one by intent, quality, and source, then logs the result in your CRM.
For local businesses that want to know how the top-ranked competitors set up their Google listings. Using a licensed local listings data feed, the AI compares their categories, services, and features and recommends a setup that helps you stand out.
For businesses offering several services across many towns. We build a connected set of pages, one for each service in each priority area, linked so search engines see your strength locally and visitors find the right page fast.
For local businesses that get views and clicks but fewer calls or visits than expected. The system pieces together the path from listing to website to call or visit and shows where people give up and what to fix first.
For businesses whose location pages load slowly or are hard to use on phones or with assistive tools. We speed up the pages, fix common problems automatically, and flag accessibility issues for your team to fix.
For businesses whose name gets confused with others or whose details differ across the web. We build a clear structured profile of your business, locations, and services and publish it consistently so search engines and directories understand exactly who you are.
For businesses buried in incoming paperwork: invoices, contracts, delivery notes, and forms. The AI recognises each document, pulls out key details, names it properly, and files it in the right folder or system, even from mixed scanned batches.
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 bookkeepers and tax preparers drowning in client paperwork every season. The system reads uploaded forms and receipts, pulls out the numbers, checks they add up, and fills your preparation software for review.
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 anyone sitting on hours of raw footage they can't find their way through. The system cuts footage into shots, labels each one by what is in it, and lets you search it like a library — plus it suggests highlight moments.
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 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 businesses and families with old tapes and film that look worn. The system sharpens, cleans scratches, removes flicker and can add colour, bringing archive footage back to life.
For coaches and fitness brands who can't watch every client's workout. Clients upload a video of an exercise, and the system draws on-screen guides showing their posture and where their form drifts from your reference.
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 factories with cameras recording the line but nobody watching the footage. The system reviews it, finds defects, missing safety gear at stations and process slips, and compiles short evidence clips for each incident.
For podcasters and video teams buried in long recordings. The system transcribes your raw interviews, removes filler, and proposes a story-shaped first cut that your editor approves or reshuffles.
For businesses with written procedures nobody reads. The system turns your step-by-step documents into short training videos per role, with quick questions to check people understood.
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 businesses with happy customers on video but no time to edit. The system transcribes testimonial clips, finds the strongest moments, and builds a captioned reel — only from customers who gave consent.
For businesses that publish footage containing bystanders, number plates or screens. The system finds and blurs them consistently through every frame and flags unsure frames for a person to check.
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 anyone filming with two or more cameras who dreads the edit. The system watches all angles and the audio, picks the best shot for each moment, and hands your editor a ready-cut timeline.
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 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 online stores that lose buyers at the very last step. With visitor consent and every form field hidden, the system spots hesitation at checkout — re-reading shipping costs, hovering over security badges, going back to the basket — and suggests the reassurance that would help.
For businesses with many reviews, support tickets and survey answers that nobody has time to read. The system mines them for the doubts and wishes that stop people buying, ranks them, and shows which page sections should answer each one.
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 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 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 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 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 businesses that get the same questions by phone and chat every day. We build a voice and chat assistant that understands what customers want, gathers the details needed and answers only from your own information.
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 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 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 small businesses that couldn't survive having their files locked by ransomware. The system watches your servers for the tell-tale signs — mass file changes, deleted backups, decoy files touched — and cuts the machine off the network the moment it sees them.
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 businesses keeping customer data far longer than needed because deleting feels risky. The system sorts stored data by sensitivity, applies your keep-or-delete schedule, respects records on hold, and keeps a log proving what was deleted.
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 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 businesses that make backups but have never tried restoring one. The system regularly restores your backups into a sealed-off test space, checks the data is complete and correct, and tells you plainly whether you could recover.
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 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 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 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 businesses that need clear, provable opt-ins before marketing. A friendly chat on your site asks visitors what they want to hear about and on which channels. It saves the exact wording shown and the time, and updates every marketing tool you use.
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 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 that must be careful what their support team says. Every reply is checked against the wording, disclosure and personal-data rules your team sets. Problems are blocked or corrected before sending, and a permanent log shows what was said.
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 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 need a support assistant that never makes things up. It answers only from your approved help content, shows where each answer came from, and hands over to a person when a question goes beyond what it may answer. Off-limits topics get your approved polite response.
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 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 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 continuously checks your operations, content and records against your own codified internal policies, flags violations with the offending evidence, and opens remediation tasks routed to owners. It keeps an evidence trail of every check and escalates high-severity findings immediately.
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 watches your aging report, sequences email payment reminders to your business customers (B2B invoices only, never consumer debts) by account and relationship, and offers payment plans within pre-set terms. It escalates disputes and hardship cases to a human and logs every promise-to-pay.
An agent that pulls bank feeds and your ledger, matches transactions automatically, and categorizes and proposes journal entries for the unmatched. It flags suspicious or duplicate transactions and holds all entries for accountant approval before posting.
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 pre-checks each payroll run for anomalies — missing hours, out-of-band pay changes, pay-code mismatches, and missing tax-setup fields — before it's committed. It gives payroll a triaged exception list with proposed fixes and holds high-risk items for payroll's sign-off.
An agent that runs client/vendor tax-document gathering season: identifying who owes what, sending reminders, validating uploads for completeness, and chasing missing items until the file is complete. It flags mismatches (e.g. W-9/TIN issues) and hands a ready package to the preparer.
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 monitors reviews across Google, Yelp, marketplaces and app stores, drafts on-brand responses tuned to sentiment and issue, and routes serious complaints to a manager before posting. It tracks reputation trends and surfaces recurring product/service problems.
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 ingests each new long-form episode, extracts the best moments, and produces platform-tailored clips, captions, show notes, and social posts scheduled across channels. It routes anything sensitive or off-brand to a human before publishing.
An agent that gathers candidate stories from your sources, curates and summarizes them to your editorial voice, assembles the issue, and schedules the send after a human approves the final draft. It personalizes sections by segment and tracks engagement to refine future issues.
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 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 handles new-matter intake: capturing the inquiry, searching your client/matter database for potential conflict matches, routing by the practice areas you define, and assembling the engagement package. Every potential match and the final conflict decision go to an attorney before any engagement letter goes out; it never gives the enquirer legal advice.
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 takes a new property listing, generates channel-tailored copy and media sets, publishes to portals and social, and keeps status (price, availability) synced across all of them. It corrects portal rejections automatically and flags policy issues for the agent.
An agent that scans grant databases and funder sites for opportunities matching your mission and eligibility, ranks them by fit and effort, and drafts applications from your organizational content library. It tracks deadlines and holds each application for a program lead's approval.
An agent that analyses the donor profiles already in your CRM (giving history and engagement with your organisation — no external wealth screening or third-party enrichment), segments them, and drafts personalized stewardship touches tied to each donor's history. Major-gift outreach is held for a gift officer's approval before send.
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 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.
An agent that assembles funder and program reports by pulling outcome metrics from your systems, mapping them to each funder's required format, and drafting the narrative grounded in the data. It tracks reporting deadlines and holds each report for a program lead's approval before submission.
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 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 build a bidirectional integration between your CRM and ERP so accounts, orders, invoices, and inventory stay consistent across both. The middleware maps schemas, resolves conflicts, and queues changes so neither system blocks the other.
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.
We design and build a dimensional (star-schema) model for your warehouse, defining conformed dimensions and fact tables that make analytics fast and intuitive. We handle slowly-changing dimensions so history is preserved correctly.
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.
For businesses whose customer lists are full of duplicates from typos and different spellings. We build a matching engine that finds duplicate records and merges them by your rules, sending uncertain ones to staff. It keeps running on your own infrastructure so new duplicates do not creep back.
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.
We take the critical spreadsheets your business secretly runs on and migrate them into a proper relational database with validation, relationships, and multi-user access. Formulas become queries and manual edits become a controlled app.
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.
For charities and schools with the same supporter entered several times across donation, event and CRM tools. We build a system that matches and merges duplicates while keeping every gift in the history, with unclear matches sent to staff. It runs on your own infrastructure to keep records clean.
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 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 build a pipeline that normalizes transactions across currencies, applying correct exchange rates by date and producing consolidated financials in your reporting currency. International operations roll up correctly.
For businesses whose dashboards load slowly and show different numbers for the same thing. We build the tidy tables, summaries and metric layer behind your dashboard tool, connect it, and check every report. AI answers questions about your numbers in plain words.
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 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 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 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 a service that packages large datasets on demand or schedule and delivers them securely to partners or clients in their required format, with encryption, manifests, and delivery confirmation. Recurring data handoffs run themselves.
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 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 set up a right-sized cloud data warehouse for a smaller business — connecting your handful of core tools, modeling the essentials, and wiring a dashboard, without enterprise overkill or cost. You get real analytics affordably.
We build a pipeline that collects, labels, versions, and validates datasets for training your machine-learning models, with quality checks and dataset lineage. Model teams get reproducible, trustworthy training sets on demand.
We build a self-service portal where your clients or partners upload their data in any common format, which is validated, mapped, and ingested into your systems automatically with clear error feedback. Client data onboarding stops being a support burden.
Employees photograph receipts and the system reads them, picks out merchant, amount, tax and date, sorts each expense against your accounts and policy, and files them into the expense system. Out-of-policy or duplicate receipts are flagged for a reviewer before reimbursement.
Automatically matches purchase orders, goods-receipt notes, and supplier invoices at the line level, tolerancing quantity and price variances against configurable thresholds. Fully matched sets auto-approve for payment while variances route to procurement with the exact mismatched lines highlighted.
Scans your contract repository to extract renewal, notice-period, and expiry terms, then builds a proactive calendar that alerts owners ahead of every auto-renewal and termination window. Ambiguous or missing dates are routed for human confirmation.
Extracts the key economic and legal terms from commercial leases — base rent, escalations, CAM, options, co-tenancy, and critical dates — into a standardized abstract per property. Abstracts feed lease-accounting and portfolio systems with source-page citations for every field.
Collects certificates of insurance from vendors and subcontractors, extracts coverage types, limits, and expiry dates, and verifies them against your contractual requirements. Non-compliant or expiring certificates trigger automated follow-up and a compliance hold.
Parses bank and card statements from any institution into normalized transactions, categorizes them, and reconciles balances and flows. Output feeds your bookkeeping and reconciliation workflows with anomalies and gaps flagged for review (not used for credit or affordability decisions).
Pulls figures from accounting systems and source documents, populates report templates with variance analysis and narrative, and produces board-ready financial reports on schedule. Data-quality issues and unexplained variances are flagged before publishing.
Gathers KPIs, financials, and departmental updates from systems and submitted documents, formats them into the board-pack template, and produces a versioned, distribution-ready pack. Late or missing sections are chased automatically before the deadline.
Parses remittance advices from any format, matches payments to open invoices, applies deductions and short-pays with reason codes, and posts cash to the accounting ledger. Unmatched payments and unexplained deductions route to AR staff.
Processes grant applications and grantee reports, extracting budgets, outcomes, and compliance evidence, and validating them against grant terms and reporting requirements. Non-compliant or incomplete submissions route to program officers.
Processes construction submittals and RFIs, extracts spec references, questions, and required actions, logs them in the project management system, and routes to the responsible party with due dates. Overdue and spec-conflicting items are escalated.
Extracts scope, pricing, and schedule impact from change orders, reconciles them against the contract and budget, and updates the project cost forecast. Unauthorized or margin-eroding changes are flagged before approval.
We train a churn model on your subscriber or customer history — usage, billing, support tickets, engagement — that scores every account's probability of leaving in the next 30/60/90 days. It surfaces the specific risk drivers per account so retention teams act on causes, not just scores.
We build a rolling 13-week and 12-month cash-flow forecast trained on your invoicing, payment behaviour, payroll, recurring costs and seasonality. Deployed against your accounting feed, it projects the daily cash balance with confidence bands and flags shortfall dates ahead.
We predict when each outstanding invoice will actually be paid, per customer, from historical payment behaviour, invoice size, terms and season. It converts your receivables ledger into a dated cash-inflow schedule.
We forecast revenue by segment, product line and channel using bookings, open deals, seasonality and wider economic drivers. It produces a base, upside and downside range each period so leadership plans on a range, not a single number.
For project-based businesses we predict which jobs will overrun budget or schedule, using early progress metrics, change orders, resource loading and historical outcomes of similar projects. It flags at-risk projects while corrective action is still cheap.
We estimate customer willingness-to-pay and optimal price tiers from purchase data, quote acceptance, and where relevant conjoint-style surveys. It informs packaging and tier design so you price where demand actually sits.
For businesses whose sales team must decide which accounts to call. We predict the size and margin of each customer's next order and combine it with how likely they are to buy now, ranking accounts by the value of contacting them today.
We forecast future demand on your constrained resources — chairs, bays, rooms, machines, consultants — and compare it to available capacity to reveal bottlenecks and idle windows quarters ahead. It informs hiring, capex and expansion timing.
We forecast recurring renewal revenue by combining per-account renewal probabilities, expansion and contraction predictions into a bookings-and-revenue projection. It gives SaaS and subscription leaders a bottom-up net-revenue-retention forecast.
Balances sales territories by potential, workload, and travel while assigning fair, achievable quotas aligned to company targets. Rebalances as reps join, leave, or accounts move, keeping coverage equitable.
Forecasts inflows and outflows and recommends the timing of payments, collections, and short-term financing to avoid shortfalls at minimum cost. Optimizes payables/receivables and buffer levels against a liquidity policy.
Projects future workload and recommends how many people, with which skills, to hire, cross-train, or contract over the planning horizon. Optimizes the staffing plan against service targets and cost.
Builds course timetables assigning rooms, teachers, and time blocks with no clashes while honoring capacity, equipment, and preference constraints. Minimizes gaps and re-solves when courses or staff change.
Assigns clients to the best-fit staff member based on skills, preferences, history, and workload balance. Optimizes overall satisfaction and utilization rather than first-available assignment.
Selects personalized renewal offers (perks and retention discounts off one published price) that maximize retained lifetime value per member. Balances price increases against churn risk using each member's usage and tenure.
Decides how many sections of each course to open and their sizes to meet enrollment demand within faculty and room limits. Minimizes unmet demand and cost while balancing class sizes.
Quotes jobs at prices that win the work and hit margin targets using predicted win-probability and cost. Learns from won/lost quotes to set the profit-optimal price for each opportunity.
Forecasts contact volume by interval and computes staffing that meets service-level targets at minimum cost, then routes contacts to the best-skilled agent. Combines Erlang staffing with skills-based routing.
Designs sales commission structures that drive target behaviors while capping cost and avoiding perverse incentives. Simulates rep responses to plan changes before rollout.
Proposes project staffing plans for your managers to approve, matching declared skills and calendar availability to deadlines to protect billable capacity and project margin. Re-proposes plans as scope and timelines shift; people are never scored on performance.
Schedules interview loops assigning interviewers to candidates and slots to balance load, cover required skills, and avoid conflicts. Re-solves as candidates and interviewer availability change.
For businesses whose AI needs to write or classify in their own way. We build a repeatable process that turns your example data into a custom-trained model, tested against held-back examples before each new version goes live.
For businesses with lots of documents staff or customers search through. We build an AI that reads your documents and answers questions with citations to the exact source, tested against your own real questions.
We build a versioned evaluation suite that scores every model or prompt change against a golden dataset before it ships, catching regressions automatically. Results are tracked over time so you can see quality trending across releases.
We build an inline layer that detects and redacts names, emails, card numbers, health identifiers, and custom entities before text reaches any model or log. Redactions are reversible via a secure vault when authorized, so downstream systems still work.
For businesses with AI features that want proof one version beats another. We build experiments that split live traffic between prompt or model versions and measure real business results.
We build a feedback loop that captures user thumbs, corrections, and choices and turns them into DPO/RLHF training signal to steadily align the model to your users. Each cycle is measured against a held-out set to confirm real improvement.
We deploy a grounding verifier that checks each generated claim against its source passages and flags or blocks unsupported statements. It scores faithfulness in real time and can force a regeneration when the answer drifts.
We embed an AI feature — summarization, drafting, search, or classification — directly into your existing app with proper auth, rate limits, error states, and analytics. It ships as production code in your stack, not a demo.
We deploy monitoring that watches input distribution and output quality over time and alerts when the model starts drifting from its training baseline. It separates data drift from concept drift so you know whether to retrain or rethink.
We build a memory layer that stores, summarizes, and retrieves conversation history so your assistant remembers users across sessions without blowing the context window. It balances recall with cost through tiered summarization.
For software companies adding AI features for many business customers. We build one backend that keeps each customer's data strictly separate, meters their usage and lets you set limits and models per plan.
We deploy a service that enforces per-user, per-team, and per-plan token and request limits with graceful degradation and clear quota feedback. It protects your budget and prevents any one client from starving the rest.
We deploy an ASR pipeline with speaker diarization, timestamps, and domain vocabulary tuning that transcribes calls and meetings recorded with participants' notice accurately. It runs on your infrastructure so recordings never leave your control.
We build an adversarial test suite that automatically probes your AI for jailbreaks, data leakage, bias, and policy violations, and reruns on every release. Findings come with severity, reproductions, and remediation guidance.
For companies offering custom AI per customer or task. We set up serving where one base model swaps in many small custom add-ons, so each customer gets their own tuned version without a dedicated server.
For software teams connecting several apps to their AI backend. We build a typed code library with retries, streaming, logins and error handling built in, plus documentation and examples in the languages your team uses.
For businesses whose AI search outgrew its demo setup. We move your search database to a production setup that handles growth and failures, switching over without downtime.
We build a harness that programmatically searches and optimizes prompts against your eval set, treating prompt engineering as a measurable optimization problem. It converges on prompts that outperform hand-written ones.
For teams that need to grade AI output at scale. We build an AI judge that scores answers on your rubric and check it against human ratings so you can trust its scores.
For businesses whose chatbot frustrates customers when it gets stuck. We build a chatbot that answers from your content and passes the conversation, with full context, to a person when it is unsure or the customer asks.
For businesses whose AI search goes stale or costs a fortune to rebuild every night. We build a pipeline that updates only what changed, with checks that search stays consistent.
We instrument your AI infrastructure to attribute GPU and token spend to teams, features, and customers, and surface waste like idle GPUs and oversized models. You get a live cost picture and concrete savings actions.
We build a pipeline that finds and removes near-duplicate content by meaning, not just exact text, cleaning training sets and knowledge bases of redundancy. It clusters similar items and keeps the best representative of each.
We train a custom cross-encoder reranker on your click and relevance data so ranking reflects what your users actually find useful. We measure NDCG gains over generic rerankers before shipping.
We deploy a gateway that unifies multiple model providers behind one API with automatic failover, load balancing, and provider-agnostic keys. If one provider degrades or rate-limits you, traffic shifts seamlessly.
We build a classifier that routes incoming messages, tickets, or queries to the right intent and team with confidence scores and an unknown-intent bucket. It retrains from corrections so accuracy climbs over time.
We build an in-product feedback capture and labeling platform that turns user signals and reviewer decisions into structured training data. It closes the loop from production output to the next model improvement.
For teams running an AI assistant over their documents who cannot tell if a change makes answers better or worse. We build a test bench that scores how well your system finds the right documents, and reruns after every change.
For businesses that want customers to speak to an AI on the phone or in their app and get a natural back-and-forth. We build the voice engine that listens, answers from your own information and talks back, letting callers interrupt like a real conversation.
We ingest your standard-operating-procedure library, runbooks and wiki, then deploy a grounded assistant that answers staff questions with the exact step and a link back to the source clause. Every answer cites the SOP version it came from, so stale guidance is never repeated.
We consolidate every location's operations playbook, brand standards and regional variants into one governed assistant, so any franchisee gets the approved answer for their market. Region-specific rules are enforced through metadata so no one gets another market's policy.
We index your source code, internal engineering wiki and design docs into a developer assistant that answers where a function lives, how a system works and why a decision was made. Answers cite the file, line and doc, scoped to repos the developer can access.
We digitize and index your archives, records and collections into a semantic search that finds items by meaning, era or theme rather than exact catalog terms. Results cite the archival record and its provenance.
We ingest your knowledge base and connect it to a voice assistant on your phone/IVR line that answers callers with grounded responses read aloud. Answers stay within your documented content and hand off to an agent when unsure.
We ingest your company's connected sources (wiki, drive, tickets) and deploy a grounded copilot directly inside Slack or Teams that answers where employees already work. It respects each user's permissions and cites the source in-thread.
We deploy controls on your outbound money movement — refunds, seller payouts, supplier payments — that score each payout against destination history, velocity and account-change events. Suspicious payouts are held for dual approval before funds leave.
We deploy a detector that finds review fraud by clustering reviewer accounts, timing bursts, text similarity, and purchase-verification gaps across your marketplace or storefront. Suspicious reviews are quarantined and rings are surfaced for enforcement.
We build a network anomaly-detection system that baselines normal traffic and flags intrusions, lateral movement and beaconing that signature tools miss. Alerts are enriched, prioritized and pushed to your SOC or SIEM with context.
For businesses with an API or website whose data gets scraped or whose API gets abused. We build a detector that learns each client's normal use and slows, traps or cuts off abusive ones.
We build a detector that scores employee expense reports for fraud and policy abuse — duplicates, inflated amounts, mischaracterized personal spend and out-of-policy vendors — using receipt parsing and peer-pattern models. Flagged reports route to finance review with the specific exceptions.
We deploy a detector that finds procurement fraud — bid rigging, split purchases to dodge approval limits, and vendor-employee collusion — by analysing purchasing patterns and entity relationships. Suspicious activity is cased with the supporting purchase and relationship evidence.
We build a detector for fraudulent and business-email-compromise invoices that flags fake vendors, altered bank details, and duplicate or inflated invoices before payment. Suspicious invoices are held with the anomaly and any bank-detail-change evidence for AP verification.
We deploy an accounts-payable matcher that finds duplicate and erroneous payments across invoices, vendors and payment runs using fuzzy matching on amounts, references and dates. Matches are surfaced pre-payment for holds and post-payment for recovery.
We build a detector that finds fictitious and shell vendors by cross-checking vendor master data against registries, employee records, and address/bank overlaps, and by profiling unusual payment patterns. Suspect vendors are flagged for verification before further payment.
We deploy a detector that finds revenue leakage — unbilled usage, pricing errors, missed renewals, and under-charged contracts — by reconciling entitlements, usage and billing data. Each leak is quantified and routed for recovery with the supporting records.
We deploy an automated anomaly-detection layer over your business metrics — revenue, signups, conversion, error rates — that learns seasonality and alerts on statistically significant deviations. Alerts include probable-cause segmentation so teams know where to look.
We deploy a detector on outbound wires and payments that flags diversion fraud — last-minute bank-detail changes, unusual beneficiaries and social-engineering patterns — before funds are sent. High-risk transfers require callback verification and dual approval.
We build a detector for telecom fraud — SIM-box bypass, international revenue-share fraud, and Wangiri patterns — by profiling call-detail records for abnormal volume, destination and duration signatures. Suspicious numbers and routes are flagged for blocking with the evidence.
We deploy a case-management workbench that aggregates alerts from all your detectors into a prioritized, deduplicated review queue with full entity context, linked history and one-click actions. Analyst dispositions feed back as labels to continuously improve your models.
For teams meeting with clients, suppliers or colleagues who speak other languages. We add an assistant to your video meetings that shows live translated captions and speaks the translation for each person, then sends a translated summary afterwards.
Analyzes recorded sales calls for talk-to-listen ratio, discovery-question quality, objection handling, competitor mentions and next-step commitment, then gives each rep a private coaching scorecard on their own calls, while managers see only team-level patterns. Reps are never ranked against each other and scores are not used for employment decisions.
Captures the meetings where everyone has been told it is recorded, produces a structured summary with decisions and action items, then routes each task to the right person in your project and ticketing tools. Owners get reminders until items are closed.
Aggregates reviews, NPS/CSAT verbatims and app-store feedback, then classifies drivers, detractors and promoters and quantifies their impact on your score. Tracks driver movement over time and by location.
Processes multi-speaker recordings to separate and label each speaker, producing attributed transcripts even in overlapping speech. Speakers are named per recording from the names you assign; no voiceprints are stored.
Processes your library of recorded trainings and webinars into a searchable knowledge base with topic-indexed clips, Q&A pairs and quick-reference guides. Keeps it updated as new sessions are added.
Continuously transcribes radio, TV and podcast streams and alerts you the moment your brand, executives, competitors or keywords are mentioned, with the clip attached. Tracks share-of-voice and sentiment over time.
Ingests open-ended survey responses in any language, translates, and codes them into your codebook with sub-themes and sentiment, at full sample size. Delivers coded data back to your analytics stack with inter-rater-style consistency.
After every sales or service call, automatically writes a structured summary, updates deal and contact fields, logs next steps and creates follow-up tasks in your CRM. Keeps your deal records clean without reps typing them in.
For companies building their own speech or language AI who need good labelled data. We build and maintain labelled datasets from your recordings and text, with transcription, speaker, intent and detail labels, quality checks and version control.
Keeps your help center and knowledge base translated and in sync across every language: when an English article changes, it re-translates, flags for review and republishes the affected locales. Enforces terminology consistency.
Transcribes qualitative research sessions, codes them thematically, builds sentiment timelines per participant and produces a highlight reel of key quotes. Supports cross-session synthesis across a study.
Aggregates employee survey open-text, exit interviews and town-hall Q&A that staff submitted for that purpose to surface engagement drivers and attrition risk themes — anonymized and aggregated. Tracks sentiment over time by department, only where enough responses keep people anonymous.
Produces narrated, localized voiceover for e-learning modules with synchronized on-screen text, quizzes and captions in every target language. Regenerates audio automatically when course content changes.
Analyzes discovery calls specifically for question quality — depth, MEDDIC/SPIN coverage, pain uncovered and next-step conversion — and coaches reps toward better questioning. Correlates questioning patterns with deal outcomes.
For teams that meet often and forget what was agreed. It reads your meeting recordings and notes, links every decision to the people and projects involved, and lets you ask in plain words what was decided and when. It also warns you when a new decision clashes with an old one.
Analyzes text-channel conversations — chat, email, messaging — for intents, resolution, sentiment, effort and compliance, complementing your voice analytics. Unifies text and voice insight in one dashboard.
Delivers a training program that records learners, scores pronunciation and intonation against targets, and returns targeted drills and progress tracking. Offered as opt-in self-practice; scores are visible only to the learner.
For businesses with videos that nobody finds through search. It writes transcripts, captions, titles and descriptions in several languages, adds the markup search engines read, and keeps your site's video pages in sync.
Turns each recorded interview into a full asset set for the guest and host: quote cards, LinkedIn posts, blog draft, key takeaways and a highlight clip, in your brand style. Delivers a ready-to-share kit per episode.
Indexes all your audio/video so users can search in one language and find spoken moments in any language, jumping straight to the timestamp. Powers internal discovery across a multilingual media archive.
Farmers photograph leaves or scout with a drone and the system identifies specific diseases, nutrient deficiencies, and pest damage with a confidence-scored diagnosis. It maps affected zones and flags them for your agronomist to confirm and treat.
A guided phone capture of a vehicle detects dents, scratches, cracked glass, and panel damage and maps each to a repair/estimate line item. It compares against check-in photos so a staff member can confirm any new damage before anyone is charged.
A drone flies a building and the system detects missing shingles, cracked tiles, flashing gaps, water staining, and facade cracks, mapping each to a location. It produces an annotated condition report and repair estimate.
Drone thermal and electroluminescence imaging detects hotspots, cracked cells, PID, and dead strings across a PV array. Each fault is geolocated to the exact module and string for repair crews.
Drone or ground imagery of turbine blades is analyzed for cracks, erosion, lightning damage, and delamination, sized and located along the blade. It builds a severity-ranked repair schedule.
Dash or pole cameras on any vehicle detect and geolocate potholes, cracking, rutting, and faded markings across a road network. It grades pavement condition into a prioritized repair map.
Site photos, 360 captures, or drone flights are compared against the BIM/schedule to verify installed elements and quantify percent complete per zone. Deviations and missing work are flagged for the PM.
A camera on a sprayer boom distinguishes crop from weeds in real time and actuates individual nozzles to spray only weeds. It logs treated areas and herbicide saved per pass.
Ground or drone imagery counts fruit on trees and estimates size distribution to forecast yield and harvest timing. Block-level maps guide labor and logistics planning.
Multispectral cameras track plant vigor, water stress, and early disease across greenhouse rows and map affected zones. Growers get zone alerts before symptoms are visible to the eye.
Microscope images are analyzed to count and classify cells, colonies, or particles far faster and more consistently than manual counting, for research and industrial QC labs (not for clinical diagnosis). It exports counts, ratios, and morphology stats to the lab system.
For labs counting colonies on agar plates by hand. A phone or fixed camera counts and sizes colonies, tells types apart and handles overlaps, logging counts and concentrations with a photo for the record.
A phone photo of the dashboard and VIN plate reads mileage and the vehicle identification number and cross-checks format and plausibility. It flags likely odometer rollback and feeds vehicle intake systems.
Customers or field staff photograph gas, water, or electricity meters and the system reads the digits or dials, including register and unit. Implausible jumps are flagged to prevent billing errors.
A guided capture or fixed gantry inspects buses, vans, or trucks for damage, missing panels, fluid leaks, and tire condition before departure. Findings are logged to the maintenance system with photos.
Guided phone capture of a rental or property documents condition, detecting damage, wear, and cleanliness issues room by room. It produces a dated, comparable condition report for move-in/move-out disputes.
Crawler or pole-camera footage of pipes and manholes is analyzed for cracks, root intrusion, blockages, and joint defects, pre-coded in your inspection standard's format for your certified inspector to review and sign. Findings are chained to distance for repair planning.
Time-lapse and live cameras track equipment presence, deliveries, and activity on a construction site to measure utilization and verify work windows. It surfaces idle equipment and unauthorized after-hours activity.
For subscription companies whose revenue schedules break every time a contract is upgraded, downgraded or cancelled mid-term. It reads the changed contract and billing history, recalculates the schedule using the policy your controller wrote down, and posts the adjusting entry, holding large adjustments for sign-off.
For companies whose AI bills keep growing without knowing who uses what. We put one gateway in front of all your AI traffic that tags each request with the team, sends costs to your finance codes, and caches repeated requests to save money.
For businesses whose answers are spread over databases, shared documents and internal systems. We build one assistant that searches all of them at once and follows your rules when sources disagree, so the live system beats an old document.
For growing companies tired of rebuilding the budget spreadsheet. We connect your accounts and business drivers like headcount and volume, re-forecast every month, and explain in plain English why results differed from plan.
For service firms whose workload depends on sales. We turn your expected sales and current utilisation into a plan of how many people you need by role and location and when, with what-if scenarios.
For employers paying staff in many countries through different payroll providers. We bring every provider's output into one format and map each item, including local statutory deductions, to the right accounting codes.
For companies whose quotes take too long to approve. We analyse each quote's real approval path and show which step or discount level holds deals up, with suggestions to speed it up.
For B2B companies with signals spread across CRM, website visits and third-party intent feeds. The AI combines them into one buying-interest score per account, updated continuously, so sales knows who to contact first.
For online shops whose search box shows whatever matches the words, not what people actually buy. The AI learns from what shoppers click and purchase after searching and puts the products they are most likely to buy at the top.
For software teams whose tests pass but still miss bugs. We find the code paths your tests don't really protect, write new tests for exactly those, and add a check that stops weaker test coverage from being merged.
For companies running several AI features and losing track of what they cost and how well they work. Every request is traced from question to outcome, so you see spend and quality side by side per feature.
For businesses running ads that keep going stale. The AI writes new ad versions in your brand style, launches them under your budget limits, keeps the ones that bring sales and drops the rest.
For software teams stuck on an old framework or language version. An AI agent upgrades your code piece by piece, runs your tests after every change and only keeps what passes, in small changes your team can review.
We look at which of your paid software accounts are actually used. With your approval we remove unused ones, move their files to the right person, and show you what you saved.
We track how much of each client's prepaid hours are used, keep them updated, and send the top-up invoice automatically before it runs out.
Every hour we place a test order, fill in your forms, book a test appointment and ring your phone line, and check each one really works — and tell you straight away if something breaks.
When you win a client, we request access to all the accounts you need the safe way, check it works, chase anything missing and remove access when the work ends.
Lots of suppliers, customers and government sites have no way to connect except logging in. We automate those log-ins to download and upload what you need on a schedule and copy it into your systems.
When you miss a call, we text the caller back from your number with a way to book or pick a callback time, and keep it on your team's list until someone has called them.
Large customers make you upload invoices into their own websites with exact details. We do that for each invoice, check it's accepted and show you when it'll be paid.
We keep a list of everything your business can't run without — domain, security certificate, store plan, phone line — check it daily and warn you well before anything expires.
We follow up on every quote you send, refresh prices when a quote expires, let customers accept with one click and record why you lost the ones you lose.
We match every toll and parking charge to the job your van was at and add it to that customer's bill where your terms allow.
When a learner finishes your course, we issue their certificate in your design and give it a web page where employers can check it's genuine.
For bookkeeping firms: each night we check every client's books for problems — broken bank feeds, unreconciled accounts, duplicates — and give your team a ranked to-do list.
We tag each expense to the client it was for, add your markup where agreed and put it on their next invoice with the receipt attached.
We switch your phone routing and greetings automatically for holidays, closures and each location's hours, and test that calls go where they should after every change.
When a company buys several seats on your course, we set up their team, invite their people, let their admin swap seats around and bill them when they add more.
We check every time entry against each client's billing rules before the invoice goes out, so fewer lines get rejected.
Every day we check the public tender sites, pull out what each contract needs, and send you the ones that fit your business.
We read the price-adjustment terms in your contracts, track the published figures they depend on, and calculate the new prices for you to approve.
We turn the spreadsheet you use to price jobs into a proper online calculator and connect it to your other tools.
We compare the software licences you pay for, the ones your clients actually use, and what you bill them, client by client.
We price every call your customers make according to their plans and send the totals to your billing system.
When a booked court, room or service bay is still empty after the start time, we release it back to your calendar and offer it to the next person waiting.
We automatically blur passwords, keys and customer details in your screen recordings before you share them.
We place your proposed building into real site photos at the right size and angle for planning and sales.
We connect to the tool your developers use to track work and learn from your past sprints. Each morning every open ticket shows how likely it is to slip, and why, so you can fix it early.
We work out how much to raise prices for each type of customer, and when, so the extra revenue outweighs anyone who leaves, then track whether it worked.
We predict how many people will come to each talk and put each one in a room that fits, avoiding clashes, and adjust later days using actual check-ins.
We check every survey answer as it comes in and set aside fake or junk ones before you pay incentives or analyse results.
Upload the recordings from your field recorders and get a list of which birds, bats and frogs were heard where and when, with clips to confirm each one.
We train a translation engine on your past translations, plug it into the tool your translators use, and mark which sentences need a careful human check.