Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
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 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 whose ads and landing pages show items that are sold out or wrongly priced. The system keeps your pages in sync with live stock and prices, hiding or flagging items and changing buttons when stock runs low.
For businesses that want a video welcome tailored to each audience or big prospect. The system assembles short videos from your scenes with the right message and names, placed on a landing page made for them.
For sites where one call-to-action button does not fit everyone. The system reads what each visitor seems to want and switches the main button, such as Buy now, Book a demo or See pricing, to the most fitting one.
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every page of your website against your current prices, opening hours, contact details and team, and list everything out of date: old prices, past events, wrong hours, discontinued products.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 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 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 selling technical products whose customers report error codes and setup problems. The AI understands how your products, errors and fixes connect, and walks customers step by step to the right solution.
For warehouses and field teams whose staff need information with their hands full. Staff speak through a headset to check stock, log actions and get picking or route directions.
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 businesses selling products that come back under warranty or for return. The AI checks eligibility from the order, helps the customer troubleshoot, and issues returns or refunds within your rules, sending risky cases to staff.
For distributors and online sellers whose team spends hours answering order status questions. The AI checks your order, stock and carrier systems and tells customers exactly where their order is.
For businesses with many locations, products or services that each deserve their own page. The system builds a unique, useful page for each one from your data, with proper structure and links, and keeps them updated.
For 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 brands with many locations whose store pages all read the same. The AI writes a genuinely different page for each location using its neighbourhood, hours, team and stock, while keeping your brand voice consistent.
For brands that post lots of images and videos and want to pick the strongest one before publishing. The AI looks at each creative, checks composition, focus and brand colors, compares it with your past winners, and ranks your options.
For businesses that want to know what competitors are doing on social media without spending hours checking. The AI follows your rivals' public posts, ads and offers, spots what is working for them, and sends you a short weekly brief.
We learn when your business gets busy and quiet from your past sales, add local holidays and events, and build a month-by-month ad budget plan. Budget changes are set up in your ad accounts ahead of each busy season, and the plan is checked against real results every month.
For businesses paying too much per click or losing auctions they should win. The AI estimates how valuable each audience, keyword and placement is to you and recommends bids that pay for value, not just volume.
For businesses whose ad budget runs out mid-month or sits unspent. The AI watches spending hour by hour, forecasts demand for the rest of the day and month, and adjusts budgets to keep spend steady around your target cost per customer.
For online sellers whose products show poorly or not at all in shopping ads. The AI improves product titles and attributes, checks image quality, fills missing details, and puts your best-earning products first.
For businesses where the sale happens on the phone, in the showroom or in the CRM, not on the website. We connect your consented offline sales back to your Google and Meta ads, so the ad platforms learn which clicks become paying customers.
For businesses showing the same retargeting ad over and over. The AI plans the order and frequency of retargeting messages for each group of visitors, moving them step by step toward buying without annoying them.
For businesses whose ad costs suddenly jump without warning. The AI watches your auction data for new or more aggressive competitors and tells you whether to defend, hold back or take advantage.
For businesses spending money on video and audio ads that people skip. The AI watches and listens to each ad, scores the opening hook, pacing and delivery energy, and suggests where to cut or change it.
Every day we open the page behind each of your ads and check it works: it loads, the product is in stock and the price and offer match what the ad says. When something is wrong you get a plain alert, and the ad can be paused until the page is fixed.
For businesses and agencies with many past ads but no clear idea why some won. The AI groups your past ads by look, message and format, finds the patterns behind the best ones, and turns them into a brief for your next ads.
For businesses unsure whether raising their ad budget will bring more customers or just higher costs. The AI studies your past budget changes and shows, per campaign, how results really respond to spending more or less.
For creators and sellers whose thumbnails and product images decide whether anyone clicks. The AI predicts which image version is most likely to be clicked before you spend money, and recommends the best one for each placement.
For businesses whose customers appear several times across email, phone and accounts. The AI matches records that belong to the same person, using only details customers gave you, so you stop double-messaging them.
For online stores with products missing colour, material and style tags. The AI looks at each product photo, fills in attributes and tags, and writes alt text, so customers can filter and search properly.
For online sellers losing money on returns. The AI scores each new order for its chance of being returned and the likely reason, then triggers a helpful step like a fit tip, extra photos or a quick check before shipping.
For online shops and producers whose delivery promises are vague or wrong. The AI learns from your past shipments how long each carrier and route really takes, and shows shoppers an honest delivery date on product and checkout pages.
For shops, restaurants and travel businesses running regular promotions without knowing if they pay. The AI compares sales during promos with a fair baseline, separates true extra sales from sales that would have happened anyway, and shows the profit of each promo.
For sellers buying from several suppliers whose catalogue is full of duplicates and messy attributes. The AI matches products that are the same item using text and photos, merges duplicates and standardizes attributes into clean product records.
For 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 shops, restaurants and travel sellers wondering whether 19.99 beats 20 or bundles beat singles. The AI tests different ways of presenting the same honest price and shows which presentation sells better for each product.
For shops and producers who run out of stock because a supplier was late. The AI learns each supplier's real delivery habits, flags purchase orders likely to slip, and suggests extra buffer stock or a backup source before shelves empty.
For shops, travel and wellness businesses who only learn about unhappy customers from bad reviews. The AI looks at each order or booking, its delivery and support history, and flags customers likely to be unhappy so your team can reach out first.
For brands whose website, app and ads drift from their brand guide over time. The AI checks your live pages and ads for logo, colour, spacing and font mistakes, marks exactly where each issue is and ranks them by importance.
For brands that want buttons, logos and videos to move in a consistent, recognisable way. The AI defines your brand's motion style and generates small animations for your website, app and social videos that follow it.
For shops, car businesses and tech brands wanting 3D product views or a 3D logo. The AI turns photos and flat logos into textured 3D models with your brand materials, ready for your website, ads and videos.
For businesses whose logo or product artwork only exists as a blurry image or an old scan. The AI redraws each file as a clean, sharp vector that prints at any size, in your exact brand colours, ready for signs, packaging and merchandise.
For businesses about to commit to a logo. The AI shows your logo tiny, low-contrast, blurred, in black and white and on worn print, scores how recognisable it stays and suggests changes where it breaks down.
For long-running businesses with boxes of old photos, ads, and documents. We take your scanned archive, clean up images, date and label everything, and put it in a searchable online collection you can use in marketing.
For brands that use video, podcasts, apps, or phone lines and want a recognisable sound. We create a short audio logo, matching notification sounds, and background music that feels like your brand.
For owners who wonder whether customers see the brand the way they intend. The AI reads your reviews, social comments, and photos people post, then shows where the image you want and the image you have differ, and which touchpoints cause it.
For businesses with a customer list who want to know who is ready to buy what. The AI scores each customer for each product line based on past behaviour, so your campaigns go to the people most likely to respond.
For owners spending on several channels, like Google, Meta, flyers, and email, who cannot tell which ones really bring sales. The model looks at your sales and spend over time and shows what each channel truly contributes and how to split next month's budget.
For 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 businesses running Meta or Google ads who want better audiences. The AI studies your best customers from your own records and sends a ranked, privacy-protected seed list to the ad platforms so they find similar people.
For businesses spending on several ad platforms who want a clear answer on where the next euro or dollar should go. The system connects your ad spend and conversions, credits each channel fairly, and recommends how to split the budget.
For businesses paying for ads and getting fake clicks, bot form fills, or spam leads. The AI watches your ad traffic and form submissions, blocks the junk, and shows how much wasted spend it caught.
For businesses that give the same discount to everyone and lose margin. The AI learns how each customer group responds to offers and suggests the smallest discount that still gets them to buy.
For sales teams that forget to log calls. After each sales meeting, where everyone has been told it is recorded, the AI writes the summary, pulls out promises and next steps, and updates the deal in your CRM.
For businesses that need to know when competitors change prices, run out of stock, or launch something. The system gathers public competitor information, compares it with your own numbers, and alerts you to moves that matter.
For businesses with equipment that has sensors, like fridges, compressors, or machines. The system collects sensor readings, cleans them, spots unusual behaviour, and warns you before something is likely to fail.
For small manufacturers who want to see how well each machine and line is really running. We turn your machine data into availability, speed, and quality scores and show where time is lost.
For businesses with many reviews who want to know what customers like and dislike about each part, like service, price, or cleanliness. The AI reads every review and scores each aspect.
For businesses that want to know right away when reviews start trending down. The AI watches your ratings and review tone and alerts you when something shifts, before it damages your rating.
For businesses whose reviews are spread across Google, Facebook, and industry sites. We bring them into one clean inbox, remove duplicates, and give you one combined view of your reputation.
For businesses that want to know how their reviews stack up against nearby rivals. The system tracks your review volume, rating, and tone against a chosen set of competitors and alerts you when one starts gaining ground.
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 that want to learn from competitor reviews. The AI reads rivals' reviews, finds what their customers praise and criticise, and shows where you beat them and where they beat you.
For businesses with several locations. The system shows each location's rating, tone, reply rate, and weak spots side by side so you can see which branches need help.
For businesses whose reviews get copied across several sites, so the same review is counted many times. The system spots the same review appearing in different places and keeps one clean copy, so your numbers are honest. It matches reviews, never reviewers.
For businesses that want to spot a new problem, like a faulty product batch or a slipping service, before it spreads. The AI watches for sudden bursts of negative reviews on one topic and alerts you with real examples.
For local businesses wondering whether more or better reviews would lift them on Google Maps. The system studies your reviews and rankings alongside competitors and shows which review factors seem linked to ranking in your area.
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 that want to show up when people ask their phone 'where's a plumber near me?'. The AI studies the questions people ask, rewrites your pages and FAQs to answer them clearly, and adds the markup search engines read.
For businesses running local ads across several towns or zones. The AI looks at results by area every night and moves budget and radius settings toward the zones bringing customers at the best cost.
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 restaurants and shops whose menus or price lists live in PDFs or a till system and are out of date on Google, delivery apps, and the website. The AI reads your menu, turns it into clean data, and keeps every platform in sync.
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 franchise brands whose locations drift off-brand on listings, websites, and social posts. The AI audits each location's online presence against your brand standards, scores what is wrong, and creates fix tickets for each location.
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 brands with several shops or stockists. We build a store finder on your website plus a search-friendly page for each location, and the AI keeps details accurate and the nearest store first for each visitor.
For businesses that rely on Google Maps for calls and visits. The AI watches your listing's views, calls, and direction requests, tells real changes apart from normal ups and downs, and explains the likely cause.
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 whose listings get changed by others: wrong hours, a different phone number, or a moved pin. The system checks your listings against your correct details and alerts you or reverts changes where platforms allow.
For local businesses that advertise by area. The model combines public neighbourhood statistics with your own past campaign results to show which neighbourhoods respond best and which message suits each. It is never used for housing, job, or financial-product ads.
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 local businesses that depend on ranking well in Google Maps for specific searches and areas. The model tracks how unstable each ranking is and warns you which ones are at risk, so you can defend them before you lose calls.
For makers who check products by eye and still let faults slip through. We train a camera system on your own good and bad examples so it flags defects on the line and keeps a record of every check.
For businesses that only find out about a late shipment when a customer complains. The system watches your orders, suppliers and stock, warns you early when something is slipping, and suggests what to do next.
For online sellers whose flat photos don't show products well. Film a short phone clip around a product and we turn it into a 360 spin, hero shots and lifestyle images for your store.
For businesses with good photos but no video. The system adds depth and gentle camera motion to your product or property photos, turning them into eye-catching short video ads.
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 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 whose customers visit many times before buying. Only for logged-in or consenting visitors and using your own IDs, the system joins their visits into one journey, shows where decisions stall and suggests timely follow-ups.
For companies filming product demos who spend hours adding arrows and zooms. The system follows the presenter's hands and the product on screen and adds callouts, zoom-ins and pointers exactly when each feature is shown.
For brands and agents whose outdoor footage was shot on a grey day. The system re-lights exterior footage into sunny, golden-hour, evening or seasonal versions, with believable shadows and reflections.
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 sell to other local businesses in person. The AI maps companies in your area, scores which fit you best, and plans efficient visit routes. Each pitch uses real local details like their reviews and opening hours, and follow-up is by visits, letters or business email only.
For businesses with a pile of leads that went quiet or said no. The AI finds which ones are worth trying again and writes a fresh message tied to what has changed since. Sends are approved by you and kept to a safe number.
For 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 with renewals, warranties or usage limits that catch customers by surprise. The AI spots these moments coming and prepares a helpful, well-timed message for you to approve. Customers get answers before they need to ask.
For businesses whose customers struggle to describe what is wrong with a product. Customers send a photo, the AI compares it with your manuals and known issues, checks warranty status and suggests the next step. Anything that could be a safety concern goes straight to a person.
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.
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 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 audits your product catalog for missing attributes, weak titles/descriptions, and mis-categorized SKUs, then generates and writes back enriched, on-brand content. It validates against your taxonomy and holds bulk changes for merchandiser approval.
An agent that intakes warranty claims, verifies coverage and serial/purchase records, requests missing evidence, and adjudicates within policy to approve, deny or route repairs. It drafts the customer decision letter and escalates ambiguous claims to a specialist.
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 intakes service jobs, matches the right technician by skill, location and parts availability, and builds the optimized daily route and schedule. It handles reschedules and emergencies dynamically, keeps customers informed, and escalates SLA-breach risks to a dispatcher.
An agent that tracks vehicle telematics and service intervals, predicts upcoming maintenance, and schedules service into shop capacity while minimizing downtime. It orders parts ahead, keeps service records current, and escalates safety-critical faults immediately.
An agent that ingests inspection data and images from the line, classifies defects, correlates them to batches and machines, and opens non-conformance cases with root-cause hypotheses. It triggers containment steps within policy and escalates systemic quality trends to engineering.
An agent that takes a BOM, finds compliant parts and suppliers, checks availability, lead time and lifecycle status, and identifies alternates for at-risk components. It builds a costed, risk-flagged sourcing plan and drafts POs held for an engineer/buyer's approval.
An agent that handles inbound service inquiries, asks the qualifying questions, estimates a quote from your pricing rules, and books the job into the crew's schedule. It sends confirmations and prep instructions and escalates complex or high-value jobs for a human estimate.
An agent that intakes vehicle issues and inspection findings, builds a parts-and-labor estimate from your catalog and labor guide, checks parts availability, and sends the customer an approval request. On approval it orders parts and schedules the bay; it escalates safety and warranty issues to a service advisor.
An agent that manages every location's local listings and reviews at scale: keeping NAP data accurate across directories, responding to reviews per location in brand voice, and fixing listing inconsistencies. It flags reputation dips and duplicate/rogue listings for the marketing team.
For businesses with machines, vehicles or sensors sending readings all day. We build a pipeline that buffers readings, handles late or out-of-order data and stores it in summarised time-based tables. AI spots silent devices and unusual readings and explains them.
We connect your POS systems to one central data flow that pulls sales, items and payments into the warehouse continuously, made consistent across terminals and locations. Retail analytics run on complete, up-to-date transaction data.
We build a pipeline that ingests location data, joins it against geographic boundaries, and computes spatial metrics like territories, distances, and coverage. Location-heavy businesses get map-ready analytics tables.
We integrate your field technicians' mobile app with dispatch, inventory, and billing so jobs, parts used, and time logged sync automatically even with spotty connectivity. Office and field stay in step without paperwork.
For factories whose machine data is stuck on the shop floor. We safely bridge your machine controllers and supervisory systems to your business data platform, so production data reaches dashboards without disrupting operations. AI flags machine stoppages and data gaps in plain words.
We integrate your listing sources, portals, and CRM so property data, availability, and leads flow consistently across all of them without double entry. A change in one place propagates everywhere it should.
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.
For businesses that need to know the moment something goes wrong, not in tomorrow's report. We watch your live numbers and send one clear alert within seconds when something is off.
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).
Extracts hazard classifications, composition, handling, and exposure limits from safety data sheets into a structured chemical inventory, and checks each against the site limits your EHS team sets. Out-of-limit substances and expired sheets are flagged for EHS.
Reads engineering drawings to extract title-block metadata, revisions, and bills of materials, and reconciles the BOM against the PLM/ERP item master. Discrepancies and uncontrolled revisions are flagged to engineering.
Digitizes field tickets, daily logs, and job sheets from crews, extracts labor, equipment, and materials used per job, and reconciles them for billing and cost tracking. Missing approvals and quantity anomalies are flagged before invoicing.
Digitizes building, safety, and equipment inspection reports and checklists, extracts findings, severities, and photos, and creates tracked remediation items in the maintenance system. Critical defects trigger immediate alerts.
Digitizes vehicle service invoices, inspection sheets, and repair orders, extracts work performed, parts, and costs per vehicle, and builds a per-asset maintenance history. Warranty-recoverable and recurring-fault patterns are flagged.
We train a multi-horizon, SKU-and-location-level forecasting model on your full sales history, calendar, promotions and price changes, then deploy it as a service that emits daily, weekly and monthly demand curves with prediction intervals. It backtests against your own held-out history so you see real accuracy before you trust it.
For products with zero sales history, we build a model that predicts first-season demand from attributes, pricing, comparable-item analogues and early pre-order signals. It transfers patterns learned across your existing catalogue onto the new item so launches are planned on evidence, not optimism.
We build a model that quantifies how nearby events — concerts, matches, conferences, holidays, school terms — shift demand at each of your locations. A live events calendar feeds the model so you get surge and lull alerts weeks ahead.
We combine demand forecasts with lead times, order costs, minimum order quantities and service-level targets to compute the optimal order quantity and timing for every SKU. Deployed against your inventory feed, it emits a daily buy list that hits your target availability at minimum holding cost.
For intermittent, lumpy spare-parts demand we use methods built for sparse series (Croston-type and hierarchical models) to predict when and how many parts you'll need. It sizes stock to hit uptime targets without hoarding slow movers.
We continuously score each SKU-location for probability of stocking out before the next delivery, combining current on-hand, in-transit, forecasted demand and supplier reliability. It raises alerts early enough to expedite or substitute.
For businesses whose equipment breakdowns stop work. We train a model on your machine sensor data, usage and maintenance logs to flag machines heading toward failure, giving a ranked maintenance list.
We estimate the remaining useful life of critical components from degradation trajectories in your sensor and usage data, producing a survival curve per asset. It tells you not just that failure is coming but roughly when, with a confidence band.
We model breakdown risk for each vehicle in your fleet using telematics, mileage, fault codes, age and service history. Deployed as a service, it prioritises which vehicles to service next and predicts which are likely to fail on the road.
We learn the normal operating signature of each machine and detect deviations that precede faults, even for failure modes never seen before. Unsupervised models flag when a machine drifts outside its own learned envelope.
We forecast warranty claim volume and cost by product cohort and manufacture period, and flag emerging quality issues from early failure patterns. It gives finance a reserve forecast and quality teams an early defect signal.
It monitors competitor pricing from official APIs, licensed price feeds or sites that permit automated access, and predicts how your volume and margin respond to their moves and to your counter-moves. It recommends whether to match, hold or diverge on each item based on measured cross-effects.
We train a model that scores each upcoming appointment for no-show probability using booking lead time, history, reminders, weather and slot type. Deployed into your scheduling flow, it drives targeted reminders and smart overbooking.
We predict when each customer is next likely to buy and what, from inter-purchase intervals, category cadence and lifecycle stage. It powers well-timed replenishment reminders and next-best-offer campaigns.
We forecast charging demand across your sites and connectors by time of day from session history, local traffic, events and weather. It informs capacity planning, dynamic pricing and load management for charging operators and fleets.
We predict customer wait times in real time from current queue state, staffing, service-time distributions and arrival forecasts. Deployed to your app or displays, it gives customers accurate estimates and managers early congestion warnings.
We predict accurate delivery and service-arrival times from route, traffic, historical leg durations, stop counts and driver patterns. It replaces flat time-window promises with data-driven ETAs and flags jobs likely to run late.
We predict how long each job or appointment will actually take from job type, customer, technician, parts and history, replacing flat booking slots that cause overruns and idle gaps. It feeds tighter, more accurate scheduling.
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 consumption of supplies and consumables per site — from salon products to workshop materials to shop consumables — from service volume and usage history, driving automatic replenishment. It prevents both run-outs mid-service and overstock of expiring supplies.
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.
Sequences jobs across machines to minimize makespan and late orders while respecting setups, capacities, and material availability. Reschedules on breakdowns and rush orders and pushes the plan to the shop floor.
Analyzes trip demand and costs to recommend the optimal number and type of vehicles to own, lease, or retire. Balances capital, maintenance, and utilization against service levels over the planning horizon.
Schedules EV or equipment charging and battery discharge against time-of-use tariffs, demand charges, and operational needs. Minimizes energy cost while ensuring assets are ready when required.
Mines purchase patterns to design product bundles and cross-sell offers that maximize incremental margin. Chooses bundle contents and pricing that lift attach rate without cannibalizing standalone sales.
Decides which products to stock at each store based on local demand, space, and assortment rules. Tailors range by location to lift sales per square foot while controlling SKU proliferation.
Schedules preventive and predictive maintenance to minimize downtime and cost given failure risk, crew, and parts. Balances doing work early against running to failure using condition data.
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.
Sets dynamic rental rates and manages availability across locations to maximize revenue per available unit. Balances utilization, length-of-rental mix, and repositioning against demand.
Designs sales commission structures that drive target behaviors while capping cost and avoiding perverse incentives. Simulates rep responses to plan changes before rollout.
Structures the optimal mix of price discount, add-ons and trade-in allowance that closes a deal at target profit (financing terms stay with your licensed lender). Uses predicted close probability and customer sensitivity to shape each offer.
For app makers whose AI must work fast, offline or privately. We shrink a model and install it inside your phone app, browser app or device, so it runs without a server.
For teams whose AI lacks examples of rare cases. We build a pipeline that generates realistic made-up examples, checks them against your real data and records what was generated and why.
We set up autoscaling GPU infrastructure that spins capacity up under load and down when idle, with queueing and priority classes. Jobs and inference share the pool efficiently so you stop paying for idle accelerators.
We distill a large model's behavior into a small, cheap one that runs at a fraction of the cost while keeping most of the quality on your task. We generate teacher outputs, train the student, and prove the quality gap is acceptable.
We shrink your model through pruning, quantization, and structured compression to fit tighter memory and cost budgets while measuring the quality tradeoff at each step. You get the smallest model that still meets your quality bar.
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.
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 consolidate every location's operations playbook, brand standards and regional variants into one governed assistant, so any franchisee gets the approved answer for their market. Region-specific rules are enforced through metadata so no one gets another market's policy.
We index your source code, internal engineering wiki and design docs into a developer assistant that answers where a function lives, how a system works and why a decision was made. Answers cite the file, line and doc, scoped to repos the developer can access.
We ingest your 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 deploy a returns-abuse system that scores customers and orders for serial returning, bracketing, worn-item returns and return fraud using purchase and return history plus item-condition signals. High-risk returns are routed to manual inspection while good customers keep frictionless returns; statutory return rights are never removed.
We deploy a detector that finds fraudulent cashback and rebate claims — fabricated receipts, duplicate submissions, and self-referral loops — by validating receipts and linking claimant accounts. Suspicious claims are held for verification before payout.
We build a detector on vehicle telematics that flags fuel theft, unauthorized use, harsh-driving risk and odometer/route anomalies across your fleet. Flags feed a vehicle-level review queue for action; drivers are not individually scored or ranked.
For manufacturers who find defects only after a batch is ruined. We connect your line sensors to a monitor that spots drifting conditions early and tells operators which stage and setting to check.
We deploy a detector that scores marketplace listings and sellers for fraud — counterfeit signals, stolen imagery, price-too-good scams, and bait-and-switch patterns. High-risk listings are held from publication and sellers are risk-tiered for monitoring.
We build a detector that flags fraudulent and abusive warranty claims — claims outside coverage, serial-number reuse, and dealer/repairer collusion — by analysing claim patterns and entity links. Suspect claims route to review before reimbursement with the driving indicators.
We deploy a detector that flags odometer rollback and vehicle-history fraud by cross-checking mileage readings across service, inspection and listing records for impossible decreases and inconsistencies. Suspect vehicles are flagged with the conflicting records for verification.
We build a detector for fuel-card abuse — fill-ups exceeding tank capacity, off-route purchases, and non-fuel spend — by profiling each card and vehicle's normal usage and location. Anomalous transactions are flagged or declined with the exception detail.
Analyzes recorded sales calls for talk-to-listen ratio, discovery-question quality, objection handling, competitor mentions and next-step commitment, then gives each rep a private coaching scorecard on their own calls, while managers see only team-level patterns. Reps are never ranked against each other and scores are not used for employment decisions.
Listens to live support and sales calls where callers have been told the call is transcribed, and surfaces the right knowledge-base answer, next-best-action and script reminders you define to the agent in real time. Auto-fills the wrap-up notes and disposition when the call ends.
Transcribes and clusters inbound calls to discover the true reasons customers call, mapping them against your IVR menu and self-service options. Identifies which call reasons are deflectable and where the IVR misroutes.
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.
Analyzes call transcripts and chat text for escalation language, repeated unresolved issues and churn signals in near real time, alerting supervisors before a customer walks. Correlates escalation patterns with outcomes and issue types (no voice-based emotion inference, no per-agent scoring).
Lets field technicians dictate a voice note that is transcribed, parsed into structured work-order fields, and pushed into your field-service or CRM system. Extracts parts used, next steps and follow-up appointments.
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.
Transcribes inbound urgent-service and after-hours calls in real time (not a substitute for emergency services; callers are told to dial their local emergency number if life is at risk), extracts location, urgency and issue type, and routes to the correct responder or queue. Maintains a fully logged, searchable call record.
Links complaints across calls, emails, chats and reviews to the same underlying issue and quantifies root causes, affected products and cost of inaction. Feeds prioritized fixes to product and ops.
Detects repeat contacts about the same issue across calls and channels to measure true first-call-resolution, and diagnoses why customers call back. Pinpoints the topics and processes driving repeats (team-level, not used to rate individual staff).
Measures how closely reps and agents follow approved talk tracks and scripts across calls, scoring adherence, deviations and the impact of going off-script. Highlights which script sections get skipped.
Ingests messaging-channel conversations across languages to mine intents, sentiment, sales signals and compliance issues, and to power routing and analytics. Respects consent and opt-out records.
A mobile-first service that captures in-person sales/visit conversations (recorded only after the customer agrees), transcribes and structures them into visit reports, and logs outcomes and next steps to your CRM. Works offline and syncs later.
Monitors reviews across platforms in every language, drafts on-brand, policy-compliant responses in the reviewer's language, and routes them for approval and posting. Escalates serious complaints to the right team.
Correlates automated post-call/IVR surveys with the actual call content and sentiment to explain why customers scored as they did, and to flag surveys that contradict the call. Feeds validated CX metrics to leadership.
Connects to your review sources and emails a weekly digest of what customers loved, complained about and asked for, with sentiment trend and standout quotes. Simple, no dashboard to learn.
Transcribes incoming voicemails, extracts caller intent and contact details, and routes each as a text/email/ticket to the right person or queue. Get the substance of each message without replaying it.
A line-mounted vision system that images every weld bead and flags porosity, undercut, spatter, cracks, and burn-through in real time. It classifies defect type and severity, marks the exact position on the seam, and gates the part before it moves downstream.
An automated optical inspection station images populated circuit boards and detects missing components, wrong parts, tombstoning, bridging, and cold solder joints. Defective boards are flagged with per-component coordinates for rework.
Vision (and optional X-ray) inspects metal castings and machined parts for porosity, inclusions, cold shuts, and surface defects. Each part gets a pass/fail with a defect-location map for the foundry.
A drive-over or handheld station measures tread depth across the tire, detects uneven wear, cuts, bulges, and reads the DOT/size markings. It produces a per-vehicle tire health report at intake.
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.
At the end of a station, vision confirms all required parts, clips, screws, and connectors are present and correctly positioned before the unit advances. Missing or wrong parts halt the line with a callout image.
Vision verifies wire routing, connector seating, terminal color/position, and lock-tab engagement on assembled harnesses. It flags mis-routed or unseated connectors before the harness ships.
Vision inspects molded plastic parts for flash, short shots, sink marks, flow lines, burns, and color deviation right at the press. Defective shots are rejected and recurring defects flag mold or process drift.
Under controlled lighting, vision detects orange peel, runs, sags, dust nibs, scratches, and coverage gaps on painted surfaces. Each defect is located and sized for touch-up routing.
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.
For consumer electronics, appliances, and trim, vision detects fine scratches, dents, and cosmetic blemishes under controlled lighting that human inspectors miss. It grades cosmetic quality and routes rework or downgrade.
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.
Vision inspects battery cells and modules for surface defects, electrode alignment, weld quality on tabs, and leakage signs. Defective cells are rejected with defect maps to protect pack safety.
Line-scan cameras inspect moving steel strip and coil for scratches, rolled-in scale, pits, and edge defects at high speed. Each defect is classified, located on the coil map, and severity-graded.
For manufacturers whose engineering changes arrive as documents. The AI reads each change order, compares the parts list with what's in your system, and prepares the exact updates for approval.
For brands producing lots of ad images and videos. The AI learns from your past ads which creative works, scores new ones before you spend, and spots when a running ad is wearing out so a fresh one rotates in.
For device makers who want customers to talk to their kiosks, intercoms or vehicles with their own brand phrase. We train a small model on your phrase that runs on the device without the internet.
For businesses running ads that keep going stale. The AI writes new ad versions in your brand style, launches them under your budget limits, keeps the ones that bring sales and drops the rest.
For sellers whose prices must stay competitive every day. We watch competitor prices through allowed sources, match their products to yours, and adjust your prices within the margin floors you set.
When you buy equipment, vehicles or fit-out, we spot it in your bills, add it to an asset list and record depreciation every month in your accounting software.
We match every hour worked and every material bill to the job it belongs to, and show you how each job is doing against its quote — while there is still time to fix it.
When the customer asks your crew for something extra, we catch it from their messages, price it, and get the customer to approve and sign before the work is done — then add it to the bill.
We read every supplier invoice, compare each item's price to what you agreed or paid before, and flag any increase so you can push back with one tap.
Every day we give your staff a short list of items to count on their phone, update your stock and books with the results, and show which items keep going wrong.
When your team finishes an install, we register the equipment with the manufacturer for the customer, using the serial numbers from the job or a photo, and save the confirmation.
We check each finished job against the rebates offered by utilities and manufacturers, put together the paperwork, file it and follow it until the money arrives.
When suppliers send new price lists, we match their products to yours, show you what changed and update your costs and prices once you approve.
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.
Each month we check your customers' vehicles for open safety recalls and invite those affected to book in with you.
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.
When a product is discontinued, we pick the best replacement, send its web page visitors and regular buyers to it, update bundles and quotes, and sell off what's left.
Customers send you a cheaper competitor link; we check it's really the same product at that price right now, apply your rules and send them a code if it qualifies.
When you order something in for a customer, we track it with the supplier, keep the customer updated, and tell them when it's in and what's left to pay.
We log each repair with photos when it comes in, text the customer as it progresses, get their OK if the price changes and remind them to collect it.
Every time you add a new product, we check it's set up properly in your tills, online shop, marketplaces, accounts and warehouse, fill in what we can and tell you what's missing.
If you store customers' tyres, bikes, skis or other items between seasons, we log where each is, bill the storage, invite customers to book their swap and have their items ready.
We read your vehicle titles and paperwork, match them to your stock by VIN, and show which cars are still missing documents.
We turn your equipment manuals' parts lists into a searchable catalogue in your job software.
We use your existing drive-thru cameras to time every car at each window and match it to its order, so you can see exactly where the line gets stuck.
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.
Fly a drone over your lot and we match every vehicle against your dealer system so you know what's missing or misplaced.
A camera at your tunnel exit spots cars that aren't fully clean so you can fix them before the customer leaves.
Cameras in your repair bays see what stage each car is at and send the owner a photo update.
We pair your crews' before and after photos, line them up neatly and post them to your website automatically.
We automatically make a short video for each of your products and keep it updated when price or stock changes.
When customers show you their equipment on a video call, we recognise the model and likely parts and fill in the job for you.
Cameras check your tool boards and kits and tell you right away which tools aren't back in place.
We learn from your past repair jobs which parts each kind of problem usually needs. When a new job is booked, the likely parts appear on the job card and anything you don't have is ready to order.
We learn which services customers book on which days and times and redesign your weekly appointment grid so your chairs, rooms or bays earn more.
We spot stock that won't sell in time and, for each product, pick the best way to turn it into money: discount, bundle, sell elsewhere, send back or donate.
Customers book a type of room, pitch or space; we decide which exact one each booking gets so there are fewer awkward gaps and every request is respected.
Before each wholesale car auction we go through every car listed, predict what it would sell for on your lot and how fast, and give you a ranked list with the most you should bid.
When a supplier stops making a part you rely on, we work out how many you'll need for the rest of its life and prepare the final order.
We look for bidders who seem to be working with sellers to push prices up and flag those auctions before they close.
We learn which parts your technicians actually use and pick the best stock for each van so more jobs get finished on the first visit, and tell you what to restock each night.
We predict which rented items will come back late and which upcoming bookings that would affect, and suggest another unit to use instead.
Customers record the noise their car makes when booking, and your system suggests what kind of problem it likely is so you plan time and parts.
A microphone at your final test station listens to each product as it runs and flags units that sound wrong, recording the result for every unit.
When a customer types a detailed search like 'black boots under 100 in size 9', your site applies those filters automatically.
We collect sensor recordings from your device, train a tiny model that recognises the events you care about, and fit it onto your device's chip.
We give your customers a simple page to register their product by serial number. We check the number is real and link it to their order, so your team can look up warranty dates easily.
When something isn't in the shop, your staff can order it from your website on a tablet and have it delivered. Each sale is credited to the staff member who helped.
Customers scan a code to join your waiting line, see how long it'll be, and get a text when they're next — so they don't have to sit in your waiting room.
We connect your customer list to a print-and-post service. When a job finishes or a customer hasn't been back for a while, a personal postcard is printed and posted automatically.
We give your shop team an app showing each customer's past purchases and preferences. They can add notes and message customers who agreed to hear from you when something they'd like comes in.
For custom-made orders, customers pay a deposit when they order. When your team marks each stage done, the next payment is collected automatically, and you always see what's still owed.
We set up safe remote updates for the devices you've sold: updates go out in waves, and any device that fails to start properly goes back to its previous version by itself.
Older C and C++ projects often only build on one person's computer. We rebuild how they're compiled so they build anywhere, for every platform you ship, with automatic bug checks.
We connect to your CNC machines, record how long every job really takes, and use it to correct the times in your ERP and in your quotes.
Each time your measuring machine checks a part, we chart the results live and, when a dimension starts drifting, calculate the machine adjustment for your setter to approve.
We read the data from every shot your moulding presses make, learn which shots make bad parts, and flag those parts for checking as they are made.
We gather your oil-test lab results, match them to each machine, chart the trends, and open a maintenance request when wear starts rising.
We take tool measurements from your presetter and load them directly into the right CNC machine, then check every night that the machines' tool tables still match.
Using your measured task times and the order tasks must be done in, we work out which tasks each station should do so the line runs evenly for every product mix.
When a customer sends a part model, we recognise its features and produce a first-draft machine program with your own tools, simulated and checked, for your programmer to review and release.
For auction houses: we build the system that takes bids from the room, phones and the internet at the same time, shows the auctioneer the current price and records every lot result.
We learn from your past auctions what affects final prices, then suggest the running order and reserve for each lot in your next sale.
After each auction we invoice buyers, chase unpaid lots and offer them to the next bidder, then send each seller their statement and post everything to your accounts.
Using the addresses already in your systems, we map where each of your locations actually draws its customers from and where locations overlap — shown as areas, never individuals.
We read open capacity for the coming days from your booking or field-service schedule, per service and location. When a service is fully booked its ad groups are paused or budgets lowered, when cancellations or quiet days open slots budgets go up, and every change is logged with the capacity that caused it.
For online sellers of vehicle parts and accessories: we build fitment tables for your catalogue by reading supplier data sheets and cross-reference lists, normalising makes, models, years and engine variants, and resolving conflicts between sources. Your store gets a vehicle selector so shoppers only see parts that fit, and your marketplace listings carry the same fitment data.