Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
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 site slowly gets heavier with every new plugin, image and script. We set speed limits for each page and the system stops slow changes from going live, suggesting how to fix them.
For businesses 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 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 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 larger sites where search engines waste time on junk URLs and miss key pages. We read your server logs to see exactly where search bots go, find the waste, and fix it so important pages get crawled.
For businesses told their site is slow but unsure which fixes are worth paying for. The system links real-world speed scores to your rankings and sales, then tells you which pages to fix first.
For businesses with their site in several languages or countries. The system makes sure Google shows each visitor the right language and country version, fixing the technical tags that tell search engines which page is which.
For businesses whose site has piled up redirects after redesigns and moved pages. The system finds redirect chains and loops, works out the right final address, and applies a clean redirect map so visitors and Google land straight on the right page.
For businesses whose pages quietly drop out of Google or never get in. The system compares the pages you want found with what Google actually lists, flags errors and bloat, and helps fix them.
For sites with many near-identical or very thin pages that drag down the whole site in Google. The AI groups similar pages and recommends which to merge, improve or point to a main version.
For businesses 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 doing repetitive tasks across several systems. You ask in plain words and the AI plans the steps, shows you the plan, then carries it out across your connected tools, undoing changes if something fails.
For businesses whose salespeople keep asking about competitors, pricing and positioning. The AI answers their questions using only your approved sales material and stays current as it changes.
For businesses selling products that come back under warranty or for return. The AI checks eligibility from the order, helps the customer troubleshoot, and issues returns or refunds within your rules, sending risky cases to staff.
For 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 growing businesses whose managers keep answering the same staff questions. The AI answers questions about leave, policies and benefits using your current company documents, and sends sensitive cases privately to the right person.
For businesses whose copy sounds different every time someone new writes it. The AI learns your brand's tone and words from your best content and writes new copy that sounds like you, rejecting drafts that drift.
For businesses 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 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 businesses selling in more than one language who worry their translated pages say something different. The AI translates your translated text back, compares it with the original, and flags lines where the meaning drifted before customers see them.
For 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 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 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 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 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 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 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 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 product makers about to print packaging. The AI places your design on a simulated shelf next to competitors, predicts where shoppers' attention will land and scores how easy it is to find, before you pay for printing.
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 brands and makers sending flyers, labels and packaging to print. The AI checks each file for bleed, colour mode, resolution and missing fonts against your printer's requirements, and tells you exactly what to fix before you pay for a print run.
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 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 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 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 growing businesses whose customer and sales data is spread across a store, CRM, ad accounts, and email tool. We bring it all into one database, define the key numbers once, and push clean customer segments back into your tools.
For 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 businesses where problems show up as odd combinations, like orders up but payments down. The AI watches many numbers together and alerts you when they stop moving the way they normally do, and says which ones caused it.
For owners who want to see sales, orders, and sign-ups as they happen, not in tomorrow's report. We build a live dashboard on your own domain that updates second by second and writes a short note on what is unusual today.
For businesses planning stock, staff, or cash who need a reliable look ahead. The system combines several forecasting methods, gives a likely range rather than a single guess, and updates as new data comes in.
For businesses that want to know which numbers move before sales do, like quote requests or website visits. The AI tests your numbers to find real early signals and puts them on a simple early-warning dashboard.
For 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 businesses with several sites, vehicles, or machines. A live map shows where numbers look unusual today and tells you whether it's one site's problem or something affecting everywhere.
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 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 businesses tracking many numbers who want to know which ones are linked. The AI tests relationships, filters out coincidences, and shows the genuine links on a simple dashboard.
For 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 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 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 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 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 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 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 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 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 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 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 teams who learn about slow pages and errors from angry customers. We add tracing to your app so every request can be followed end to end, with dashboards and alerts tied to what users actually experience.
For teams whose product or developers run code written by AI, and who worry what that code might touch. We build a locked-down place where every generated script runs first, checked against your own security rules, before it reaches real data.
For software teams whose orders, bookings or payments span several services and sometimes get stuck halfway. We build the process so every step either completes or is cleanly undone, and each failure path is checked before launch.
For 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 whose internal services can all reach each other, so one break-in spreads everywhere. The system watches real traffic between your services, writes rules allowing only the connections that are needed, and tests them on real traffic before switching them on.
For 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 businesses whose cloud bill jumps without warning. The system watches your cloud usage and spend every day, alerts you to unusual spikes, and explains which service, team or change caused them.
For software teams who hope their app survives a crashed server or slow supplier but have never checked. The system runs small, controlled failure tests with strict limits and shows whether users would notice.
For businesses holding valuable customer or company data. The system learns what normal outgoing traffic looks like, spots unusual uploads, hidden channels and odd destinations, and slows or blocks suspicious transfers in stages.
For businesses whose apps expose APIs nobody has fully listed. The system discovers every API from real traffic and specs, checks for common API weaknesses like seeing other users' data, and enforces rules at the gateway.
For 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 software teams bitten by 'it worked in testing'. The system compares the settings of each environment against the agreed source of truth, explains each difference and opens fixes so test and live stay in step.
For teams whose outages often follow a release. The system learns from your past changes and incidents which kinds of change tend to cause trouble, scores each new release, and suggests extra care for the risky ones.
For businesses where a few people have full admin access to servers. Sessions on company systems are recorded, with admins told by a login banner, and the system flags unusual commands and writes a short story of each session.
For B2B businesses whose salespeople chase whoever is on a list. The system learns what your won deals have in common, finds similar companies showing buying interest, and refreshes a ranked target list in your CRM every week.
For B2B sellers who talk to one person and lose because others were deciding. The system groups the contacts and activity already in your CRM into each account's buying group, predicts roles and influence, and flags who is missing.
For businesses ready to grow beyond their current customers. The system learns what your best customers have in common, searches company databases for close look-alikes most likely to expand, and groups them into named segments with reasons.
For 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 business-to-business sellers whose website gets visits but few form fills. It shows which companies, never which people, are reading your pages and how interested they look. The best-fit companies go straight into your CRM for follow-up.
For small teams who want introductions instead of cold emails. We map who on your team knows whom, using your own contacts and CRM history, and show the best warm route into each company you want to win. The AI drafts a polite introduction request for your colleague to approve.
For businesses 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 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 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 growing teams whose sales, marketing and product data live in separate tools. We bring it all into one tidy store that every lead score and report draws from. The AI watches data quality and warns you before reports start going wrong.
For businesses 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.
For support teams whose ticket categories are messy or missing. The AI reads your past tickets, builds a clear list of topics and sub-topics, and then tags every new ticket. You finally see what customers contact you about.
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 takes a purchase requirement, finds qualified suppliers, requests and normalizes quotes over email, and builds a scored comparison against your criteria (price, lead time, MOQ, compliance). It drafts the PO and holds it at a human-approval checkpoint before anything is sent.
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 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 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 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 continuously monitors your suppliers for financial distress, adverse media, and delivery-performance decay, scoring each on a risk index. It opens a review case and drafts a mitigation plan when a supplier crosses a risk threshold.
An agent that ingests supplier invoices from email and portals, extracts line items, three-way matches them against POs and receipts, and routes exceptions for approval. It schedules clean invoices for payment within terms and posts everything to your accounting system with an audit trail.
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 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 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 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 runs new-hire onboarding across IT, HR and facilities: creating accounts and access within role policy, ordering equipment, scheduling training, and tracking every task to completion. Access grants beyond baseline require a manager's approval.
An agent that watches your monitoring and alerting stack, correlates related alerts into a single incident, enriches it with recent deploys and logs, and proposes a probable cause and severity. It pages the right on-call, opens the incident channel, and drafts the status update — executing remediation only from an approved runbook.
An agent that continuously baselines your logs and metrics, detects anomalies, and runs a scripted investigation — querying traces, correlating with changes, and narrowing to a likely cause. It files a findings ticket with evidence and recommends a fix, escalating to an engineer for any action.
An agent that ingests vulnerability scans and advisories, correlates them to your actual asset inventory, prioritizes by exploitability and exposure, and opens remediation tickets with the fix. It can stage patches in non-prod but requires change approval before any production rollout.
An agent that continuously analyzes your cloud spend, identifies idle, oversized and untagged resources, and quantifies savings for each. It applies safe, reversible fixes (stop idle, rightsize dev) within policy and holds production changes for engineering approval.
An agent that intakes change requests, assesses risk and blast radius, checks for conflicting changes and freeze windows, and assembles the approval package for the CAB. It auto-approves low-risk standard changes within policy and routes the rest with a recommendation.
An agent that parses an incoming RFP into a requirements matrix, drafts answers from your approved content library, flags gaps needing an SME, and assembles a compliant response document. It tracks deadlines and holds the final for a bid-owner's approval before submission.
An agent that takes a shipment request, gathers rates across carriers and modes, applies your routing rules and constraints, and books the winning option. It generates documentation, schedules pickup, and holds any quote above a threshold for a human's approval.
An agent that tracks every shipment across carriers, detects delays, misroutes and delivery exceptions in real time, and takes corrective action — rebooking, filing claims, notifying customers — within policy. It escalates high-value or unrecoverable exceptions to an ops manager.
An agent that assembles export/import documentation for each shipment — suggesting HS codes for your customs broker to confirm, and preparing commercial invoices and packing documents. It flags missing or inconsistent documents and holds submission for your customs broker's sign-off.
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 reconciles orders, inventory and pricing across your distributors and your ERP, catching mismatches, missed EDI messages and stale price files. It corrects the discrepancies it's authorized to and files the rest as cases for the channel team.
An agent that validates trade-promotion and rebate claims from partners against contract terms and sell-through proof, clears valid claims for payment, and disputes invalid ones with evidence. It flags claim-fraud patterns and escalates high-value disputes to the trade-marketing lead.
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.
For companies that need to react to what happens in their app or devices within seconds. We build a streaming pipeline that takes in events, combines them over short time windows and feeds fast results to your app or dashboards. AI watches the flow and explains delays or unusual spikes.
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.
We migrate data out of an aging system into a modern platform, profiling the source, mapping fields, transforming formats, and validating record counts and integrity after load. We run parallel dry-runs before the final cutover.
We build an MDM hub that unifies your core entities — customers, products, suppliers — into golden records with survivorship rules across source systems. It resolves duplicates, standardizes attributes, and publishes the trusted version back out.
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 with lots of data, such as logs, sensor readings or files, that is too costly to keep in a regular warehouse. We build a store on low-cost storage with reliable tables, history you can go back to, and a query tool. AI keeps tables tidy and explains query costs.
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.
We audit your warehouse workloads and re-engineer them to cut compute and storage spend — right-sizing warehouses, clustering tables, pruning unused models, and rewriting expensive queries. We deploy the changes and monitor the savings.
For operations teams who want to see what is happening right now, not yesterday. We build the pipeline behind a live dashboard, streaming events through running totals into a fast store that keeps tiles current. AI writes short notes on unusual changes as they happen.
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 implement Type 2 slowly-changing dimensions so your warehouse preserves the full history of records that change over time — prices, statuses, assignments. Every analysis can ask what a value was on any given date.
We move a slow nightly data run to one that updates continuously, so data that used to arrive tomorrow arrives in minutes. We run both side by side and check they match before switching over.
For teams with many data pipelines who only learn of failures when a report looks wrong. We track every pipeline's run time, freshness, volumes and failures on one dashboard with history. AI explains what broke and why, and routes alerts to the right person.
We build a pipeline that ingests product data from suppliers and internal sources, normalizes attributes and units, enriches with categories, and publishes a clean catalog to your storefronts. It handles feed formats and de-duplicates variants.
For growing apps whose main database is hitting its limits. We split data across several servers with a routing layer, keeping your app working the same way, and move live data without taking you offline. AI watches load and explains slowdowns.
We connect the systems along your order-to-cash process — storefront, fulfillment, invoicing, payment — so an order's full lifecycle flows automatically without manual handoffs. Status stays synchronized end to end.
We implement data contracts between the teams that produce and consume data, defining schemas and expectations that are enforced automatically in CI and at ingest. Breaking changes are caught before they hit downstream consumers.
We migrate your on-premise or legacy warehouse to a modern cloud platform, moving schemas, data, and transformation logic while validating parity at each step. We plan the cutover to avoid disrupting reporting.
For teams whose data pipeline changes sometimes break reports in production. We add tests, a staging area and automatic checks so every change is validated before it goes live, with a clear roll-back. AI reviews each change and explains test failures.
We build a system that automatically moves aged data from expensive hot storage to cheap cold tiers while keeping it queryable, applying retention policies per data type. Costs drop without losing access to history.
We build a data flow that takes in and standardizes data from new suppliers whatever their file format or field names, mapping each onto your own structure with checks. Onboarding a supplier goes from weeks to hours.
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 data flow that enriches your business data with outside information — weather, holidays, demographics, foot traffic — joined to your records for richer analysis and forecasting. Your models gain context they never had.
We help you give each team ownership of its own data, published as data products with their own data flows, agreements and access points, connected through shared standards. Each team owns its data as a governed product.
We aggregate your sales, fees, payouts, and returns from every marketplace you sell on into one normalized dataset, reconciling each platform's quirks. You see true unit economics across channels in one place.
We build the pipeline that prepares clean, gap-filled, feature-rich time series and serves them to forecasting models, then stores and monitors the forecasts. Demand, revenue, or capacity forecasts run on a dependable data foundation.
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.
We build a Data Vault 2.0 model — hubs, links, and satellites — giving you a highly auditable, agile warehouse foundation that absorbs source changes and preserves full history. It suits regulated, fast-changing environments.
For teams whose live data double-counts orders or clicks when events are retried or replayed. We add duplicate blocking to your live data stream so each event is counted once, even at high volume. AI tracks the duplicate rate and explains spikes.
For teams adding new data sources often and writing custom code each time. We build a reusable framework so any new source lands in your data lake the same way, with layout, schema and records captured, by filling a short setup file. AI drafts the setup for each new source.
We audit an existing warehouse for schema debt, unused tables, redundant models, broken lineage, and slow queries, then deliver a prioritized remediation plan with the quick wins already applied. You learn exactly what to fix and why.
For teams whose data lake only updates overnight and slows down with tiny files. We build a continuous feed that lands events in analytics-ready tables, tidying files and partitions as data arrives. AI watches file health and explains slowdowns.
We 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.
We convert full-refresh warehouse models to incremental processing, so each run only handles new or changed data instead of rebuilding everything. Runtimes and costs drop sharply while results stay correct.
We deploy a schema registry that governs every analytics and streaming event's structure, versioning schemas and enforcing compatibility so producers can't ship breaking events. Consumers rely on stable, documented contracts.
We add robust conflict resolution to a two-way sync where both systems can edit the same record, defining deterministic rules and merge strategies so concurrent edits resolve predictably. The dreaded sync loop and overwrite problems end.
We build disaster recovery for your data platform — automated backups, cross-region replication, and tested restore procedures so a failure doesn't mean permanent loss or days of downtime. Recovery is drilled, not theoretical.
We build a streaming pipeline that enriches live events by joining them against reference data and other streams in real time, so each event carries full context as it flows. Downstream consumers get enriched events, not raw fragments.
We migrate data into a new ERP, profiling and cleansing the source first — deduplicating, standardizing codes, and fixing broken references — so the new system starts clean. We validate every module's data post-load.
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 build a data flow that turns deeply nested JSON or XML from APIs and logs into flat, easy-to-query tables while keeping how the records relate. Analysts query complex data with plain SQL.
We write your entire data setup — warehouse, data flows, permissions and connectors — as code, so environments can be rebuilt, reviewed and recovered after a disaster. Spinning up a new environment is a single command.
We instrument your data platform to attribute compute and storage costs to specific pipelines, teams, and datasets, so you know exactly what each workload costs. Waste becomes visible and chargeback becomes possible.
We build a pipeline that collects, labels, versions, and validates datasets for training your machine-learning models, with quality checks and dataset lineage. Model teams get reproducible, trustworthy training sets on demand.
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.
Ingests monthly vendor statements and reconciles every listed invoice, credit, and payment against your AP ledger to surface missing invoices, short-paid items, and duplicate charges. Discrepancies are compiled into a dispute-ready worksheet and routed to AP staff.
Collects electricity, gas, water, and telecom bills across all sites, extracts usage, rate, and charge components, and audits them against contracted tariffs and historical baselines. Billing errors and anomalous consumption are flagged for recovery and cost control.
Parses carrier freight and parcel invoices, matches each shipment charge to the rate contract, accessorials, and the original booking, and flags overcharges, duplicate bills, and disallowed surcharges. Clean invoices post to accounting while disputes are packaged for the carrier.
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.
Captures inbound purchase orders arriving as PDFs, emails, or EDI and converts them into structured sales orders, validating SKUs, pricing, and availability before creating the order in your system. Unmatched SKUs or pricing conflicts are held for a sales-ops reviewer.
Digitizes warehouse goods-receipt notes and delivery dockets, extracts received quantities per line, and reconciles them against open purchase orders to close or flag partial receipts. Short and over-deliveries are escalated with photographic evidence attached.
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.
Extracts shipper, consignee, container, weight, and cargo details from bills of lading in any format and validates them against booking and shipment data. Discrepancies and missing fields route to operations before the shipment moves.
Cross-checks packing lists against commercial invoices and purchase orders line by line, verifying quantities, descriptions, and values across the trade document set. Mismatches that would stall customs or payment are flagged before shipment.
Captures signed proof-of-delivery documents and photos from drivers, extracts delivery status, exceptions, and signatures, and reconciles them against dispatched orders. Damaged or short deliveries are flagged and linked to the order for claims.
Extracts and validates certificates of origin, phytosanitary, and conformity certificates against the shipment and the per-destination document checklist your trade team maintains. Missing, expired or mismatched certificates trigger a hold and vendor follow-up for your team to resolve.
Pulls figures from accounting systems and source documents, populates report templates with variance analysis and narrative, and produces board-ready financial reports on schedule. Data-quality issues and unexplained variances are flagged before publishing.
Collects sustainability data from utility bills, invoices, HR records, and supplier documents, maps it to reporting-framework metrics, and assembles a draft data pack organised by framework metric for your sustainability lead and auditor to review. Missing data points and unit inconsistencies are flagged for owners.
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.
Parses supplier certificates of analysis, extracts each tested parameter and result, and verifies them against your specification limits per material and lot. Out-of-spec or missing parameters trigger a quality hold and supplier notification.
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.
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.
Collects and monitors supplier compliance certificates — quality, food-safety, ethical, and environmental — extracting scope and expiry and verifying against your requirements per supplier and product. Expiring or missing certificates trigger holds and follow-up.
Digitizes supplier catalogs and product spec sheets into normalized SKUs with attributes, images, and pricing mapped to your product information model. Attribute conflicts and missing mandatory fields are flagged for merchandising.
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 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 decompose every product's sales into trend, multiple seasonal cycles and residual, then serve a clean baseline demand signal stripped of noise and one-off spikes. This gives planning teams a stable view of underlying demand and where it is genuinely accelerating or decaying.
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.
We calculate SKU-specific safety stock from measured demand variability and lead-time variability at your chosen service level, rather than a blanket rule of thumb. It continuously re-tunes buffers as volatility shifts so you carry protection only where it's earned.
We model your central warehouse and local sites as one network and recommend how to position and rebalance stock across echelons to meet local demand at minimum total inventory. It flags transfers that pre-empt local stockouts using site-level forecasts.
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 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.
For businesses with heating, cooling and refrigeration across properties. We predict which units are drifting toward failure and estimate the comfort or spoilage risk, so you fix the right ones first.
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.
We forecast expected downtime hours per line and shift from failure-risk models, planned maintenance and historical stoppage patterns. Production planning gets a realistic capacity view instead of assuming 100% uptime.
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 the components of working capital — receivables, payables and inventory — and their net position over the coming quarters. It shows how growth, seasonality and terms changes will consume or release cash.
We forecast seasonal peaks in labour demand months ahead and produce a hiring-and-ramp plan that accounts for recruitment and training lead times. It tells you when to start hiring, not just how many people you'll eventually need.
For businesses unsure how customers react to price changes. We measure how sensitive demand is for each product from your past price changes, separating out promotions and seasons, and show where you can raise prices and where you cannot.
For businesses with limited capacity or stock, like rooms, seats or seasonal goods. Our pricing engine recommends prices in real time from demand, remaining capacity, competitor prices and sensitivity, always within the floors and ceilings you set.
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 electricity and gas consumption at building and portfolio level from meter history, weather, occupancy and operating schedules. Deployed with live weather and calendar feeds, it projects the load curve hours to days ahead.
We predict the timing and magnitude of peak energy demand events that drive demand charges, and recommend load-shifting or curtailment actions ahead of each. It targets the specific intervals that dominate your bill.
We forecast expected water, gas and electricity usage per site and flag when actual consumption diverges — catching leaks, faults and waste. It separates weather-normal variation from genuine anomalies.
We predict production yield and scrap rate per batch or run from process parameters, materials, machine and environmental conditions. It flags runs likely to yield poorly before or early in production so parameters can be corrected.
We predict which orders or SKUs will go on backorder given inbound supply, demand forecasts and supplier lead-time risk. It surfaces looming backorders early enough to expedite, substitute or set customer expectations.
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 crop and field yield from historical yields, inputs, soil, and satellite-derived vegetation and weather signals. It projects harvest volume and timing per field to plan labour, logistics and sales commitments.
We predict scrap and rework rates per order and line from job specs, materials, machine state and operator, flagging jobs likely to generate high rework before they run. It links quality outcomes to controllable inputs.
We predict which shipments or deliveries will miss their SLA from lane, carrier, weather, volume and historical performance, early enough to intervene. It forecasts aggregate on-time performance and flags at-risk consignments.
Builds staff rosters that meet forecasted demand while honoring the working-time rules you configure, contracts, skills, availability, and fairness rules. Minimizes overtime and understaffing and republishes when someone calls out.
Decides which items to mark down, by how much, and when to clear aging or seasonal stock before it loses value. Balances sell-through against recovered margin and coordinates markdowns across stores and channels.
Computes how to pack orders, pallets, and cartons into containers or trucks to maximize fill and respect weight, stacking, and fragility rules. Produces a 3D load plan and loading sequence for the warehouse.
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.
Learns a building's thermal behavior and controls HVAC setpoints and schedules to minimize energy cost while holding comfort bands. Uses weather forecasts, occupancy, and time-of-use tariffs to pre-cool/pre-heat optimally.
Predicts the incremental lift and cannibalization of each promotion and selects the promo calendar that maximizes profit within budget and trade-spend limits. Avoids overlapping promos that steal from each other.
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.
Assigns SKUs to storage locations to minimize picker travel based on velocity, affinity, and ergonomics. Recomputes slotting as demand shifts and produces re-slotting move lists for the team.
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.
Optimizes inbound/outbound dock door assignments and carrier appointment times to smooth flow and cut detention. Balances yard capacity, labor, and trailer priorities across the day.
Takes supplier bids with volume discounts, capacities, and quality/lead-time constraints and computes the lowest-cost sourcing split. Handles multi-item, multi-supplier awards with business rules.
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.
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.
Recommends optimal timing for harvest, planting, or production actions to maximize yield and value given weather, prices, and capacity. Balances quality windows against logistics and market conditions.
Chooses the cheapest mode and carrier per shipment that still meets the delivery deadline, consolidating loads where possible. Optimizes across LTL, FTL, parcel, and intermodal with live rates.
Allocates trade-promotion budget across accounts, brands, and periods to maximize retailer sell-through and manufacturer profit. Optimizes the plan against measured historical ROI and constraints.
Decides for each returned item whether to restock, refurbish, liquidate, or scrap, and routes it to the lowest-cost, highest-recovery destination. Optimizes reverse flows across facilities.
Allocates shared stock across sales channels and fulfillment nodes to maximize margin and service under demand uncertainty. Decides which node ships which order to cut split shipments and stockouts.
Computes cutting and nesting plans for sheet, roll, or bar stock to minimize waste for a set of orders. Optimizes layouts respecting grain, kerf, and machine constraints and outputs job sheets.
Schedules irrigation zone-by-zone to minimize water and energy while meeting plant needs using soil, weather, and evapotranspiration data. Optimizes timing against tariffs and pump capacity.
Determines the optimal number, location, and role of warehouses and flows to minimize total landed cost at target service. Optimizes sourcing, production, and distribution across the network.
Curtails and shifts flexible loads during peak events to minimize demand charges and capture demand-response payments without disrupting operations. Chooses which loads to shed and when.
Schedules crews and heavy equipment across job sites to minimize idle time and mobilization cost while meeting project deadlines. Sequences tasks with dependencies and shares scarce equipment across sites.
For firms that cannot send documents to outside AI services. We install an open AI model on your own servers or private cloud, so staff use AI for drafting, summarising and questions while nothing leaves your network.
For businesses whose AI needs to write or classify in their own way. We build a repeatable process that turns your example data into a custom-trained model, tested against held-back examples before each new version goes live.
For businesses with lots of documents staff or customers search through. We build an AI that reads your documents and answers questions with citations to the exact source, tested against your own real questions.
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.
For businesses running their own AI models on costly servers. We tune your model serving so the same hardware handles more requests faster, and we measure before and after.
We 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.
For businesses launching or growing AI features. We simulate many users at once against your AI and show how fast it responds, where it breaks and what capacity you need for growth.
We deploy monitoring that watches input distribution and output quality over time and alerts when the model starts drifting from its training baseline. It separates data drift from concept drift so you know whether to retrain or rethink.
We build a pipeline that runs models over millions of records efficiently with checkpointing, retries, and cost controls. Large scoring jobs run overnight and resume cleanly if interrupted.
We set up progressive model rollouts that send a small slice of traffic to a new version, watch quality and error metrics, and auto-promote or auto-rollback based on the numbers. Bad models never reach all your users.
For businesses whose AI search misses because of specialist terms. We train the search model on your terms and examples so it finds the right documents, and measure the improvement against the standard model.
For businesses that want to know when something odd happens — a sales drop, a payment spike, a system error surge. We deploy a model that learns what normal looks like and alerts you to real anomalies, not noise.
For businesses whose questions need linking facts across many records. We combine a map of how your people, companies, products and documents connect with document search, so the AI answers multi-step questions.
We build retrieval and generation over both images and text so users can query across diagrams, screenshots, product photos, and documents together. Images are embedded, retrieved, and reasoned about alongside their surrounding text.
We shrink your model through pruning, quantization, and structured compression to fit tighter memory and cost budgets while measuring the quality tradeoff at each step. You get the smallest model that still meets your quality bar.
For sites that must keep data fully offline — factories, labs, private archives. We deliver a complete AI system that runs with no internet at all: the model, document search and a chat screen, updated only by signed offline packages.
We construct a rigorously curated golden test set for your AI task with balanced coverage, expert labels, and adjudicated edge cases. It becomes the ground truth every eval and regression check runs against.
We instrument your AI infrastructure to attribute GPU and token spend to teams, features, and customers, and surface waste like idle GPUs and oversized models. You get a live cost picture and concrete savings actions.
For tech teams that already run their software on Kubernetes and now have their own AI models to serve. We set up model serving that scales up when traffic rises, scales down when it is quiet, and rolls out new model versions safely.
We build a layer that constrains model output to a strict JSON schema or grammar so downstream code never chokes on malformed responses. Invalid outputs are constrained at generation time or repaired and revalidated.
For businesses buried in emails, documents and notes that mention part numbers, product codes or other details staff copy out by hand. We train an AI to pick those details out automatically and drop them into a spreadsheet or system.
For companies whose AI models get stale as customers and products change. We build a pipeline that retrains your model when new data arrives, tests it, and only puts it live if it does at least as well as the old one.
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 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 that finds electricity/gas/water meter tampering and theft by profiling consumption patterns against expected usage, weather and peer baselines. Suspicious accounts are ranked for field inspection with the anomaly evidence.
We deploy a monitoring service on temperature, humidity and door-event sensors across your cold-chain that detects excursions and spoilage risk in real time. Alerts and predicted spoilage windows fire before product is lost, with a full excursion log.
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 build a network anomaly-detection system that baselines normal traffic and flags intrusions, lateral movement and beaconing that signature tools miss. Alerts are enriched, prioritized and pushed to your SOC or SIEM with context.
We deploy a monitor on privileged and admin activity that baselines expected use of high-risk accounts and flags off-hours, off-pattern and escalation anomalies. High-risk actions can require just-in-time approval before they execute.
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 an automated anomaly-detection layer over your business metrics — revenue, signups, conversion, error rates — that learns seasonality and alerts on statistically significant deviations. Alerts include probable-cause segmentation so teams know where to look.
We build a 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 over your purchase orders, receipts and inventory movements that flags anomalies signalling fraud, error or diversion — phantom receipts, quantity mismatches, and unusual write-offs. Exceptions are surfaced with the reconciling documents for investigation.
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.
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.
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.
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.
Aggregates employee survey open-text, exit interviews and town-hall Q&A that staff submitted for that purpose to surface engagement drivers and attrition risk themes — anonymized and aggregated. Tracks sentiment over time by department, only where enough responses keep people anonymous.
Links complaints across calls, emails, chats and reviews to the same underlying issue and quantifies root causes, affected products and cost of inaction. Feeds prioritized fixes to product and ops.
Produces narrated, localized voiceover for e-learning modules with synchronized on-screen text, quizzes and captions in every target language. Regenerates audio automatically when course content changes.
Localizes product titles, descriptions and attributes across languages and marketplaces with SEO-aware phrasing, unit/format conversion and marketplace-specific rules. Syncs back into your PIM/store.
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.
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.
Transcribes and analyzes radio/voice communications and driver check-calls across warehouse and transport operations to extract exceptions, delays, safety events and status updates into your TMS/WMS. Builds an operational event timeline.
Indexes all your audio/video so users can search in one language and find spoken moments in any language, jumping straight to the timestamp. Powers internal discovery across a multilingual media archive.
Mines support and sales calls specifically for product bugs, feature requests and competitive gaps, deduplicates them, and files structured tickets into your product backlog with linked call evidence. Quantifies request demand.
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.
A camera or phone photo of any analog dial, manometer, or thermometer is converted into a precise numerical reading and logged. It handles reflections, parallax, and odd scale ranges after a one-time per-gauge calibration.
At the gate, cameras read the container number and bolt-seal ID and confirm the seal is intact and matches the manifest. Mismatches or tampering hold the container for inspection.
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.
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.
Cameras across the loom or inspection frame scan running fabric for holes, slubs, stains, weave errors, and color streaks at full line speed. Each flaw is marked, sized, and logged to a roll map for grading.
On the bottling or jar line, cameras confirm each container is filled to spec and flag under-fills, over-fills, and foaming before capping. Out-of-spec units are rejected and logged for line control charts.
Vision verifies each product label is present, correctly positioned, unwrinkled, and legible, and cross-checks printed text, lot codes, and expiry against the expected values. Mislabeled units are rejected before packing.
The system reads 1D/2D codes on product and packaging and grades them to ISO/IEC print-quality standards, flagging codes that will fail downstream scanners. It reports the exact failure axis such as contrast, quiet zone, or axial nonuniformity.
Cameras confirm every bottle or jar has a cap present, seated straight, and correctly torqued-position, plus an intact tamper band. Missing, cocked, or high caps are rejected before palletizing.
As eggs pass on the grader, cameras and candling-style lighting detect hairline cracks, dirt, blood spots, and misshapes, and grade by size and quality. Cracked or dirty eggs are diverted automatically.
On the pack line, cameras assess fruit and vegetables for ripeness, size, color, bruising, and blemishes and route each item to the correct grade lane. Grading rules are tuned per customer specification.
Boards moving on the mill line are scanned for knots, splits, wane, and warp, and pre-sorted by grade class for your certified grader to confirm, with optimal cut-point suggestions. Defect maps drive the optimizer saw for maximum yield.
Vision scans ceramic tiles, stone slabs, and countertops for cracks, chips, glaze defects, and shade variation. It grades each piece and flags shade batches so like tiles ship together.
Cameras with specialized lighting inspect glass bottles and jars for chips, cracks, stones, bubbles, and stress birefringence at the finish and body. Defective containers are rejected before filling.
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.
Cameras at entries read license plates and match them to allow/deny lists, opening the barrier for authorized vehicles and logging all movements. It handles multiple regions, plate formats, and low light.
Cameras watch factory and retail floors for liquid spills, oil leaks, and wet patches and alert staff to slip hazards. Recurring leak locations are flagged for maintenance.
Cameras over the conveyor detect foreign material, tramp metal, plastic, and off-spec items in bulk product flows and trigger an air-reject or diverter. It learns the normal product appearance to catch anything unusual.
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.
Fixed or drone cameras track rust, corrosion, and coating breakdown on tanks, structures, and equipment over time. It quantifies affected area and growth rate to prioritize maintenance.
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.
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.
With a reference marker or calibrated setup, the system measures object dimensions, areas, and volumes from photos to tight tolerance. It exports measurements for quoting, packing, or QC.
Cameras at the wrap or dock check pallet stack height, overhang, lean, and wrap integrity against loading rules. Non-conforming pallets are flagged before they go on the truck.
Cameras over the dock door count and identify cartons/SKUs loaded or unloaded and reconcile against the shipment manifest in real time. Discrepancies trigger a hold before the doors close.
Vision (optionally with X-ray or hyperspectral) inspects food products on the line for foreign material, off-color, and defects and rejects contaminated items. It logs each rejection for your food-safety team's records and supplements, never replaces, your existing metal-detection or X-ray control points.
Cameras (with optional NIR) inspect coffee beans, grains, or seeds for defects, foreign material, discoloration, and size, driving an air-ejector sorter. It grades lots and reports defect composition.
Cameras over pens, gates, or alleys count animals and analyze gait to score lameness and mobility. Flagged animals are listed for the vet or herdsman before conditions worsen.
Overhead or side cameras estimate body-condition score and weight of cattle, pigs, or sheep from image geometry, without a scale. Trends drive feeding and health decisions per animal.
Ceiling cameras monitor flock distribution, activity, piling, and mortality in poultry houses and alert on abnormal patterns. Early warnings surface ventilation, disease, or welfare problems.
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.
On the press, vision checks color registration, ink density via color bars, streaking, and misprints across the web. Out-of-tolerance sheets are flagged and press adjustments are recommended.
Calibrated cameras measure color of fabric, dye lots, or products and compute Delta-E against the standard to catch shade drift. Out-of-tolerance lots are flagged before they ship or continue.
Drones or fixed cameras scan racking to detect empty slots, misplaced pallets, and location-label reads, reconciling against the WMS. Discrepancies become cycle-count tasks automatically.
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 combined station checks fill level, cap, label, date code, and container defects in one pass on the beverage line. Any single failure rejects the unit with a categorized reason.
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.
Drone or fixed cameras estimate stockpile volume of aggregates, logs, or bulk material for inventory and reconciliation. It tracks volume changes over time against expected consumption.
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.
Vision verifies furniture and cabinetry assemblies for correct panels, drilled holes, hardware presence, and finish before packing. It flags missing hardware or wrong panels that cause customer complaints.
For sales teams waiting days for discount approvals. It checks every quote against your pricing and discount rules as reps build it, approves quotes within policy instantly, and sends others to the right approver with the exact rule broken highlighted.
For businesses with stock in more than one store or warehouse. The AI watches stock levels everywhere, spots where an item is about to run out, and creates the transfer from a location that has too much. Big transfers wait for your manager to approve.
For businesses with hourly staff clocking in and out. The AI checks clock records every day, spots missed clock-outs, overlapping shifts and unapproved overtime, and asks the right manager to fix them the same day instead of at payroll time.
For organisations with a very large library of their own documents, like technical manuals or research archives. We continue training an open model on that library so it truly understands your field's words, then fine-tune it for your tasks.
For operations teams whose questions depend on data that changes by the minute, like open tickets, order status or machine readings. We build an assistant that is refreshed continuously from your live event stream, so its answers are current.
For suppliers that must exchange orders, invoices and shipping notices with big retailers by EDI. We connect your ERP or warehouse system to each trading partner, turning their orders into yours and sending your shipping notices back in their format.
For plants that want machine and sensor data available to modern tools. We connect read-only to your plant-floor servers and historian, stream the readings to the cloud, and keep the tag list up to date as equipment changes, without touching control systems.
For shippers and freight teams with long carrier rate contracts full of lane, weight and surcharge tables. The AI reads the whole contract, builds a clean rate table, tests it by re-pricing old invoices, and loads it into your shipping system.
For groups with several companies on different accounting systems. The AI gathers invoices and transfers between your companies, matches them, works out the elimination and currency entries for group accounts, and posts them for your accountant to approve.
For suppliers exchanging EDI orders, shipping notices and invoices with many partners. The AI handles each partner's quirks and checks that what was ordered, shipped and invoiced lines up, so you catch problems before chargebacks.
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 companies that want to know what they really buy. The AI tags every order and invoice line with a standard purchasing category, learned from your own history, and writes the tag into your purchasing system.
For growing companies tired of rebuilding the budget spreadsheet. We connect your accounts and business drivers like headcount and volume, re-forecast every month, and explain in plain English why results differed from plan.
For finance teams closing the books each month. The AI checks every account's movement against its normal pattern, flags unusual ones, and drafts an explanation from the underlying transactions.
For companies buying the same things from many suppliers. The AI groups your spend by what was really bought and shows where different teams pay different prices, with a plan to consolidate.
For companies spending on equipment, buildings or big projects. We track each approved project against the return it promised, update the forecast as spend and benefits come in, and flag projects drifting off plan early.
For businesses offered early-payment discounts by suppliers. Each payment run the engine checks your cash and each discount and lists exactly which invoices to pay early.
For companies using many contractors and project-based suppliers. We pull contractor timesheets, milestone bills and budgets into one view, and flag overspend, billed milestones that aren't done, and contractors past the tenure limit you set.
For plants whose critical machines have several kinds of sensors read in separate systems: motor current, vibration, sound, temperature and oil condition. The AI combines them into one health score per machine, so early signs that one sensor alone would miss are caught.
For software and online businesses that grow by upgrading existing customers. The AI reads product usage and billing history and predicts which accounts are ready for more seats or a higher plan this month, then puts a ranked list in your CRM with the reason for each.
For B2B companies with signals spread across CRM, website visits and third-party intent feeds. The AI combines them into one buying-interest score per account, updated continuously, so sales knows who to contact first.
For materials and chemical makers who run many trial batches to hit a target property. The AI learns from your past lab results and predicts strength, viscosity or cure time for a new recipe before you mix it.
For chemistry teams that waste bench time on reactions that fail. The AI learns from your own reaction history and predicts yield and selectivity for conditions you have not tried yet.
For plants that lose money changing catalyst too early or too late. The AI learns how your catalyst loses activity and forecasts its remaining life and the best regeneration window from live plant data.
For producers who wait on slow lab separations to know what is in a mixture. The AI learns from your own spectra and lab results to read several components straight from one scan.
For R&D teams chasing a target property through endless trial and error. After each round of results the AI proposes the next batch of experiments most likely to get you there and puts them straight into your lab notebook.
For R&D teams who know the properties they need but not the recipe. The AI generates new candidate formulations or molecules aimed at your targets, scores them and queues the best shortlist for your chemists.
For plants wanting better quality and yield without risking equipment. The AI reads your live plant data and suggests better temperature, pressure and feed settings within your safe limits, shown to operators to accept or decline.
For chemical makers whose plant batches don't match the pilot. The AI learns from your paired pilot and plant runs and recommends adjusted settings so the first full-scale run matches the pilot quality.
For plants losing money to off-spec batches. The AI watches live process data for patterns that came before past bad batches, warns operators and ranks the most likely cause with a suggested fix.
For software teams who need to know exactly what goes into every release. We add automatic ingredient lists, build records and signing to your build process, and block releases that break your own rules.
For businesses hit by phishing and fake invoice or fake boss emails. The AI learns from phishing your staff reported and checks every incoming email, quarantining dangerous ones and sending unclear ones to review.
For software teams drowning in scanner findings. We check whether each reported vulnerability can actually be reached in your running code and push the real ones to the top.