Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
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.
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 pulls records from two or more systems (e.g. CRM vs billing, PMS vs ledger), matches them with fuzzy keys, and classifies every mismatch by root cause. It auto-corrects the discrepancies you authorize and files the rest as review cases with proposed fixes.
An agent that continuously 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 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 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 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 intakes vehicle issues and inspection findings, builds a parts-and-labor estimate from your catalog and labor guide, checks parts availability, and sends the customer an approval request. On approval it orders parts and schedules the bay; it escalates safety and warranty issues to a service advisor.
For companies that need to react to what happens in their app or devices within seconds. We build a streaming pipeline that takes in events, combines them over short time windows and feeds fast results to your app or dashboards. AI watches the flow and explains delays or unusual spikes.
For companies whose reports slow down the main database or show yesterday's numbers. We set up a live copy that streams every new, changed and deleted record from your production database into your warehouse or a replica, without heavy queries on the original. AI watches the copy and explains any lag.
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 synchronize inventory levels across your online store, marketplaces, and physical POS in near real time so a sale on one channel decrements stock everywhere. The engine handles rate limits, conflicts, and oversell protection.
For companies whose software talks to many outside services, each with its own quirks. We build a middle layer that handles logins, retries and limits for every provider and gives your apps one clean connection. AI watches errors and explains provider problems in plain words.
For companies with lots of data, such as logs, sensor readings or files, that is too costly to keep in a regular warehouse. We build a store on low-cost storage with reliable tables, history you can go back to, and a query tool. AI keeps tables tidy and explains query costs.
For 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 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.
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 build a pipeline that ingests location data, joins it against geographic boundaries, and computes spatial metrics like territories, distances, and coverage. Location-heavy businesses get map-ready analytics tables.
We 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 set on-time promises for your data and watch when each data load arrives, alerting the right people when data is late. Your team gets clear commitments and early warnings, not surprises, about when data is ready.
We build 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.
For teams whose live data double-counts orders or clicks when events are retried or replayed. We add duplicate blocking to your live data stream so each event is counted once, even at high volume. AI tracks the duplicate rate and explains spikes.
For teams adding new data sources often and writing custom code each time. We build a reusable framework so any new source lands in your data lake the same way, with layout, schema and records captured, by filling a short setup file. AI drafts the setup for each new source.
We build robust backfill tooling for your pipelines so you can safely reprocess historical data for a date range or fix a bad load without corrupting downstream tables. Recovery from a bad day becomes a routine command.
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 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 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 service that packages large datasets on demand or schedule and delivers them securely to partners or clients in their required format, with encryption, manifests, and delivery confirmation. Recurring data handoffs run themselves.
We build a data flow that turns deeply nested JSON or XML from APIs and logs into flat, easy-to-query tables while keeping how the records relate. Analysts query complex data with plain SQL.
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.
A configurable pipeline that digitizes structured handwritten forms — surveys, field reports, order sheets — using layout templates and handwriting recognition, then validates and exports the data to your systems. Low-confidence cells are queued for rapid human keying.
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.
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.
Digitizes field tickets, daily logs, and job sheets from crews, extracts labor, equipment, and materials used per job, and reconciles them for billing and cost tracking. Missing approvals and quantity anomalies are flagged before invoicing.
Digitizes building, safety, and equipment inspection reports and checklists, extracts findings, severities, and photos, and creates tracked remediation items in the maintenance system. Critical defects trigger immediate alerts.
Digitizes vehicle service invoices, inspection sheets, and repair orders, extracts work performed, parts, and costs per vehicle, and builds a per-asset maintenance history. Warranty-recoverable and recurring-fault patterns are flagged.
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.
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.
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 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.
For businesses whose equipment breakdowns stop work. We train a model on your machine sensor data, usage and maintenance logs to flag machines heading toward failure, giving a ranked maintenance list.
We estimate the remaining useful life of critical components from degradation trajectories in your sensor and usage data, producing a survival curve per asset. It tells you not just that failure is coming but roughly when, with a confidence band.
We model breakdown risk for each vehicle in your fleet using telematics, mileage, fault codes, age and service history. Deployed as a service, it prioritises which vehicles to service next and predicts which are likely to fail on the road.
We learn the normal operating signature of each machine and detect deviations that precede faults, even for failure modes never seen before. Unsupervised models flag when a machine drifts outside its own learned envelope.
We forecast 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 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.
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 charging demand across your sites and connectors by time of day from session history, local traffic, events and weather. It informs capacity planning, dynamic pricing and load management for charging operators and fleets.
We predict accurate delivery and service-arrival times from route, traffic, historical leg durations, stop counts and driver patterns. It replaces flat time-window promises with data-driven ETAs and flags jobs likely to run late.
We 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 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.
Solves the vehicle routing problem across your fleet with time windows, capacities, driver shifts, and live traffic to produce least-cost daily routes. Re-optimizes mid-day for new orders, cancellations, and delays, dispatching turn-by-turn sequences to drivers.
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.
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.
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.
Analyzes trip demand and costs to recommend the optimal number and type of vehicles to own, lease, or retire. Balances capital, maintenance, and utilization against service levels over the planning horizon.
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.
Builds low-cost duty pairings and rosters for mobile crews across multi-day trips honoring the rest, qualification and base rules you configure. Re-solves for disruptions to keep operations within your configured rules and covered.
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.
Matches and pools compatible trips or jobs to share vehicles and reduce cost while keeping detours acceptable. Continuously batches live requests into shared assignments.
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.
Plans collection routes accounting for bin fill levels, vehicle capacity, and disposal-site constraints to cut miles and missed pickups. Uses fill sensors or predictions to skip empty stops.
Detects demand spikes in real time and sets surge multipliers that balance supply, revenue, and customer acceptance, within a hard cap you set and automatically suspended during declared emergencies. Learns acceptance thresholds by segment to avoid over-surging.
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 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 businesses launching or growing AI features. We simulate many users at once against your AI and show how fast it responds, where it breaks and what capacity you need for growth.
We deploy monitoring that watches input distribution and output quality over time and alerts when the model starts drifting from its training baseline. It separates data drift from concept drift so you know whether to retrain or rethink.
For teams training and running their own models. We build a feature store so the same data definitions feed both training and live predictions, ending mismatches that quietly break models.
We 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 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 tech teams that already run their software on Kubernetes and now have their own AI models to serve. We set up model serving that scales up when traffic rises, scales down when it is quiet, and rolls out new model versions safely.
We build a layer that constrains model output to a strict JSON schema or grammar so downstream code never chokes on malformed responses. Invalid outputs are constrained at generation time or repaired and revalidated.
We build a classifier that routes incoming messages, tickets, or queries to the right intent and team with confidence scores and an unknown-intent bucket. It retrains from corrections so accuracy climbs over time.
For 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 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.
We build a detector on vehicle telematics that flags fuel theft, unauthorized use, harsh-driving risk and odometer/route anomalies across your fleet. Flags feed a vehicle-level review queue for action; drivers are not individually scored or ranked.
We deploy a detector that finds revenue leakage — unbilled usage, pricing errors, missed renewals, and under-charged contracts — by reconciling entitlements, usage and billing data. Each leak is quantified and routed for recovery with the supporting records.
We build a detector for telecom fraud — SIM-box bypass, international revenue-share fraud, and Wangiri patterns — by profiling call-detail records for abnormal volume, destination and duration signatures. Suspicious numbers and routes are flagged for blocking with the evidence.
We deploy a detector that flags odometer rollback and vehicle-history fraud by cross-checking mileage readings across service, inspection and listing records for impossible decreases and inconsistencies. Suspect vehicles are flagged with the conflicting records for verification.
We build a detector for fuel-card abuse — fill-ups exceeding tank capacity, off-route purchases, and non-fuel spend — by profiling each card and vehicle's normal usage and location. Anomalous transactions are flagged or declined with the exception detail.
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.
Transcribes and clusters inbound calls to discover the true reasons customers call, mapping them against your IVR menu and self-service options. Identifies which call reasons are deflectable and where the IVR misroutes.
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.
Transcribes inbound urgent-service and after-hours calls in real time (not a substitute for emergency services; callers are told to dial their local emergency number if life is at risk), extracts location, urgency and issue type, and routes to the correct responder or queue. Maintains a fully logged, searchable call record.
Sits in front of your contact channels, detects the caller's/writer's language on the first utterance and routes to the right language queue, agent or translation bridge. Logs language demand for staffing decisions.
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.
Enables agents and customers to chat in their own languages with real-time bidirectional translation, glossary control and quality flags on risky translations. Logs bilingual transcripts for QA.
Detects repeat contacts about the same issue across calls and channels to measure true first-call-resolution, and diagnoses why customers call back. Pinpoints the topics and processes driving repeats (team-level, not used to rate individual staff).
Generates spoken announcements and IVR prompts with correct pronunciation of names, places, products and numbers, in multiple voices and languages, updated from your data. Feeds your telephony, PA or app.
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.
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.
Cameras over the parcel line photograph every package and detect dents, crushing, tears, wet damage, and leaks before dispatch or on receipt. Each damaged parcel is diverted and documented for claims.
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.
A drive-over or handheld station measures tread depth across the tire, detects uneven wear, cuts, bulges, and reads the DOT/size markings. It produces a per-vehicle tire health report at intake.
A guided phone capture of a vehicle detects dents, scratches, cracked glass, and panel damage and maps each to a repair/estimate line item. It compares against check-in photos so a staff member can confirm any new damage before anyone is charged.
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.
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.
Dash or pole cameras on any vehicle detect and geolocate potholes, cracking, rutting, and faded markings across a road network. It grades pavement condition into a prioritized repair map.
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.
A phone photo of the dashboard and VIN plate reads mileage and the vehicle identification number and cross-checks format and plausibility. It flags likely odometer rollback and feeds vehicle intake systems.
Cameras inspect returned goods and rental equipment for damage, missing parts, and wear to grade restock condition automatically. Each return gets a graded condition record with photos for refund decisions.
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.
A guided capture or fixed gantry inspects buses, vans, or trucks for damage, missing panels, fluid leaks, and tire condition before departure. Findings are logged to the maintenance system with photos.
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.
Crawler or pole-camera footage of pipes and manholes is analyzed for cracks, root intrusion, blockages, and joint defects, pre-coded in your inspection standard's format for your certified inspector to review and sign. Findings are chained to distance for repair planning.
Time-lapse and live cameras track equipment presence, deliveries, and activity on a construction site to measure utilization and verify work windows. It surfaces idle equipment and unauthorized after-hours activity.
For delivery businesses running their own vans or trucks. When a vehicle breaks down, runs late or goes off route, the AI moves the load to another free driver and tells the customer the real new arrival time.
For companies counting events live, like ad clicks, orders or device readings. We build live counting that puts late and out-of-order events in the right time window, so your live numbers match the final numbers.
For companies whose invoices don't always match what customers signed. The AI reads the real terms from your contracts and checks them against what billing actually charges, flagging missed price rises, wrong tiers and unapproved discounts.
For 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 distributors and brands that know revenue per customer but not what each customer really costs to serve. We combine costs for picking, freight, returns and support down to each customer, product and order, so you can see who is actually profitable.
For businesses selling rooms, seats or time slots that are worth nothing once the date passes. The AI forecasts bookings for each date and customer type, then sets prices, availability and safe overbooking limits so you fill more of your capacity and turn fewer people away.
For marketplaces where both supply and demand swing during the day, like equipment rental, delivery capacity or local services. The AI forecasts the next few hours of supply and demand and sets prices so both sides keep using your platform.
For carshare, bike, scooter or rental equipment fleets. The AI forecasts where demand will outstrip vehicles and creates move jobs for your crews so vehicles are in the right places before customers arrive.
For airports and ground handlers juggling gates and crews. The planner assigns gates and ground resources against the live flight schedule, and re-plans when delays hit, following your size, turnaround and neighbour rules.
For companies moving chilled or frozen food and goods. The AI reads temperature and humidity from your trucks and containers, works out how much shelf life each shipment has left, and suggests rerouting or delivering it sooner before it spoils.
For freight brokers and 3PLs worried about loads being stolen or re-brokered by fake carriers. The AI checks each carrier's identity details and tracking against known patterns and holds a load before it is dispatched to someone suspicious.
For parcel and warehouse operators with a depth camera above the belt. The AI measures each parcel's true size while it moves and sends the dimensions straight to your warehouse or carrier billing system.
For teams running AI agents that take actions for customers. We record every step your agents take, then replay those real runs against any change before it ships so you see exactly what broke.
For companies with lots of AI usage logs and a task general models keep getting wrong. We turn your past requests and your team's corrections into a training set, train your own tuned model and prove whether it beats the standard one.
When you buy equipment, vehicles or fit-out, we spot it in your bills, add it to an asset list and record depreciation every month in your accounting software.
Lots of suppliers, customers and government sites have no way to connect except logging in. We automate those log-ins to download and upload what you need on a schedule and copy it into your systems.
Large customers make you upload invoices into their own websites with exact details. We do that for each invoice, check it's accepted and show you when it'll be paid.
Where you manage stock at customer sites, we read their stock levels, work out what they'll need and create the delivery orders automatically.
Guests report what they lost online and your staff photograph what they find. We match them up, confirm the owner, take postage payment and create the shipping label.
We know where each of your trucks will be empty and search the load boards for the best-paying loads that fit, so your dispatcher can book them with one click.
We match every toll and parking charge to the job your van was at and add it to that customer's bill where your terms allow.
We book delivery appointments at your customers' warehouses for every load, save the confirmation and rebook if your truck is running late.
When a delivery fails, we text the customer straight away with the next free slots, let them pick one and put it into that day's delivery route.
For warehouse and fulfilment businesses: we calculate each client's bill from everything your warehouse did for them that month and create the invoice with full details.
If you put machines like copiers, coffee machines or hired equipment at customers' sites, we collect the meter readings and bill each customer for what they used under their contract.
When a delivery stop has shortages, refusals or damage, the driver records it on their phone and we correct the customer's invoice right away and put returned stock back in your system.
We take skip bookings, plan the drop-offs and collections, read the weight tickets from the tip and add any overweight or extra-day charges to the customer's invoice.
When a broker emails a rate confirmation, we read it and create the load in your dispatch system with stops, times and rate filled in.
Every morning we check each carrier you use against the public record and block any whose authority or insurance has lapsed.
We read the price-adjustment terms in your contracts, track the published figures they depend on, and calculate the new prices for you to approve.
We turn the spreadsheet you use to price jobs into a proper online calculator and connect it to your other tools.
We turn your retail customers' shipping rulebooks into automatic checks and labels in your warehouse so shipments meet their rules.
We gather every charging session for your electric vehicles, work out what each cost, and assign it to the right vehicle and budget.
When stores pay you only for what scans at their tills, we check every delivery against scans and payments so you see what you're owed.
We read your equipment manuals and set up every recommended maintenance task in your maintenance software.
Fly a drone over your lot and we match every vehicle against your dealer system so you know what's missing or misplaced.
Your dock cameras show which doors have a truck, for how long, and warn you when a truck overstays its slot.
We read your shop-floor whiteboard from a camera or photo and put the numbers into your system.
Cameras at your scale suggest the grade of each load and attach the photos to the ticket.
One photo at the trailer door tells you how full the load is, recorded against the shipment.
A camera grades every incoming pallet and counts them by grade for each supplier load.
Cameras check your tool boards and kits and tell you right away which tools aren't back in place.
Photograph the side of a stack of sheets or boards and we count them and check it matches the order.
Cameras watch your conveyor belts for tears, wear and drift so you can fix them before a breakdown.
Your cameras spot rodents and birds at night, show where they are most active and alert your pest-control team.
We look at your schedules and the hours worked so far, location by location, and tell each manager mid-week how much overtime they're heading for and which days are causing it.
We look at how many people called out on past days, plus the weather, holidays and colds going around, and tell each location how much backup to line up for each day.
We follow each of your shipping containers and warn you before it starts costing you daily port or late-return fees, with a pickup request ready to send.
When customers check out, we decide which delivery times to show and what to charge for each, so your drivers' routes stay tight and nothing is wasted.
If you visit customers on a regular schedule, we work out the best day for each one so every van's day is short and evenly loaded, and keep the plan up to date.
Each night we predict what every stop on your routes needs, decide which ones to visit tomorrow and give your warehouse a load list for each van.
We estimate how full each customer's tank is from the weather and their past use, predict when it will run low and plan your deliveries so no one runs out and trucks run full.
We connect complaints about wrong items with your warehouse records to find the shelves, look-alike products and process steps causing mistakes.
We compare the weights and sizes your customers declare with what your scanners measure, correct the bill and flag customers who regularly get it wrong.
We forecast how many parcels and pallets each carrier will collect each day and tell you how much pickup space to book.
Customers record the noise their car makes when booking, and your system suggests what kind of problem it likely is so you plan time and parts.
We let people using your web app say what they want done — like 'create an invoice for Acme' — and the app does it after they confirm.
Your team asks questions like 'which stores sold fewer umbrellas this month' in chat and gets an answer pulled from your own database, with the working shown.
we build and deploy the connection that lets AI assistants sign in to your product and use it on your customers' behalf, with limits you set.
We take the prediction model someone built in a notebook, get it working again, and run it as a proper service your systems can use, with checks that it still works.
We build a model that sorts your records into your own categories, using rules from your experts instead of months of manual tagging.
We add a confidence check to your existing AI model so it only acts automatically when it's reliably sure, and sends the rest to your team.
We find the specific kinds of cases where your AI model makes mistakes, name them, and keep checking them after every update.
We put a checkpoint between AI agents and your business systems so they can only do what you allow, and anything risky waits for a person to approve.
Your users describe the rule, filter or formula they want in everyday words, and your product writes it for them — checked before it is used.
We build an internal admin tool for your staff on top of your existing database, so they can find, edit and approve things themselves — with permissions and a full history of who changed what.
If you run a software product, we build a public API for it — with keys your customers create themselves, sensible limits per plan, a developer website with examples, and tests that stop it breaking.
We connect your business system to your team chat. Staff can look up customers or orders with a quick command, approve things with one click, and get alerts in the right channel.
Scammers register web addresses that look like yours to send fake invoices. We watch for them every day, block their emails from reaching your staff, and alert you.
We secure the servers your website or app runs on — only the doors you need are open, logins are protected, and security updates are installed on a regular schedule.
We set up a ready-to-go second copy of your app in another location, kept up to date with your data. If your main hosting fails, traffic switches over — and we test it every quarter.
We upgrade the database behind your app to a current, supported version while your app keeps running, after a full rehearsal on a copy.
We turn your site plan into an interactive map on your website showing which units, pitches or plots are free right now, straight from your booking system, so customers can pick and book the exact one.
We build a private browser add-on for your team. It shows information from your own system next to the website they're on, and saves details from that page into your system with one click.
Your developers get warned about a whole family of mistakes before the code ever runs. We add the types across your code in small, reviewed changes, fix the real bugs this uncovers, and set a check so it never slips back.
When one part of your software holds everything else back, we lift it out into its own service. We test it against your real traffic in the background first, then move users over gradually with a way back at every step.
We take a privacy-scrubbed sample of the real requests your app receives and replay them against each new version before release. If the new version answers differently when it shouldn't, the release stops.
When your biggest database tables start slowing everything or are about to run out of ID numbers, we rebuild them in the background while your app keeps running, then swap them in.
If your database is too expensive or holding you back, we move your app to a better one. Both run side by side on your real traffic until the new one gives exactly the same answers, then we switch.
Sometimes your app saves an order but the message to the next system never arrives, or arrives twice. We fix how your code sends these messages so it's assured, and add a check that catches any gap.
We build an internal website for your engineers that knows every piece of software you run and who owns it, and lets them start a new service that already has testing, deployment and monitoring set up.
We set things up so your servers automatically run exactly what's approved in your code repository. Nobody pushes changes from their own laptop, and every change leaves a reviewed record.
Old cluster versions stop getting fixes. We find everything that would break, fix it, practise on a copy and upgrade your clusters one step at a time while your apps keep running.
Monitoring bills grow with every log line. We find which data your team actually uses, keep that, and move or trim the rest so the bill shrinks while your alerts and dashboards keep working.
Bugs that appear randomly and can't be reproduced are often caused by things happening at the same time. it runs special builds that catch them, then fix each one with a test that proves it.
If your servers need restarting every night or crash after a while, something is slowly eating memory. We find it in your live system, fix it, and test every future release for it.
We measure, all the time, which parts of your code use the most server power, fix the worst ones, and keep watching so new slow spots show up straight away.
If one part of your Python software is slow, we rewrite just that part in Rust, a much faster language, test that it gives exactly the same answers, and drop it in without changing anything else.
When background tasks fail - sending an email, syncing an order - they pile up unseen. We give your team one screen that groups the failures, shows why, and lets them retry safely.
If bookings shift by an hour when clocks change or reports cut off at the wrong time, we find every place your software handles time wrongly, fix it, and add tests that prevent it happening again.
When an outside service your app depends on slows down, your whole app can freeze. We add limits and fallbacks to every such call and test them by deliberately breaking things in a safe copy.
If a service your app relies on raises prices, we put a switch in your code, connect the new supplier, compare them side by side, and move over one feature at a time.
If your software is split into more pieces than your team can manage, we merge them back into one well-organised app, piece by piece, without downtime.
We add a safe space inside your software where customers can write their own small rules and automations, without any risk to your servers or other customers.
For companies building robots, we set up virtual test courses so every software change is tried on a simulated robot first, and recordings show exactly what went wrong.
Business customers often want their data from your product in their own reporting systems. We add a feature where they connect their system once and their data keeps arriving.
Inside your server cluster, services usually talk unencrypted and can call anything. We encrypt that traffic and allow only the connections your app actually needs, without changing your code.
We make your background job servers grow when work piles up and shrink when it's quiet, so jobs never fall behind and you don't pay for idle machines.
When one customer runs a huge import, everyone else's tasks can wait behind it. We make your system share capacity fairly between customers.
If customers have connected to your API, every change risks breaking them. We let each customer stay on the version they built against while you keep improving it.
Tests that rely on outside services fail randomly and run slowly. We build realistic stand-ins for those services so your tests run fast and reliably.
For software that coordinates many servers, the worst bugs only appear in rare timing situations. We build a simulator that tries enormous numbers of them and replays any failure exactly.
Older systems often hide important business rules inside the database where they can't be tested. We move them into your normal code, prove they give the same answers, and switch over one by one.
Your services send each other messages through a messaging system. When you need a different one, it runs both side by side until they match, then switch without losing a message.
If your engineering or analysis software takes hours, we move its heaviest calculations onto graphics processors and check the answers match the original.
If your website or app shows maps and you pay every time one loads, we set up your own map service from open map data, styled to your brand.
We look at the bugs your team has had to fix before, turn each type into an automatic check, fix any copies still lurking, and stop new code repeating them.
After every drone flight we compare the ground with your design levels and the last flight, and show how much digging and filling is left in each zone.
We connect the tracking portals of all your machine brands, work out which job each machine was on each day, and put the hours and fuel on that job in your accounts.
We read your compressor data, measure how much air you lose to leaks, and work out which compressors to run at what pressure so you pay for less electricity.
We read your fridges' and freezers' controller data, learn when ice really builds up on each one, and change the defrost schedule so they only defrost when needed — with automatic rollback if temperatures move.
We dig through your machines' alarm history, find the alarm that kicks off each chain of faults, and rank them by how much downtime they cause.
We build a computer model of your production line from your machines' real data, so you can test new machines, buffers or schedules and see the effect on output before spending anything.
We replay every real trip your vehicles made last year as if they were electric, and show which ones could switch, how many chargers you need and what your depot's power would peak at.
We teach a model to read your technicians' repair notes and record what failed and why, clean up duplicate equipment records, and show which machines keep breaking.
We read how many hours or cycles each machine has really run, straight from the machines, and feed those readings into your maintenance system so its usage-based jobs come up at the right time.
We gather your oil-test lab results, match them to each machine, chart the trends, and open a maintenance request when wear starts rising.
We measure each machine's load-haul-dump cycles from its tracking data and work out how many trucks each excavator needs on each route.
We learn from your vehicles' past stops where each customer's real delivery entrance is, and fix the locations in your routing system.
We make all your different wireless sensors report in one consistent format to your systems, and warn you before any of them runs out of battery or stops reporting.
Every night we back up the programs running in your machine controllers and robots and tell you if anything changed since the last approved version.
We clean up the reads from your RFID door readers, work out which way each pallet went, and record receipts and shipments in your warehouse system automatically.
Using the tags already on your tools, we keep track of which site each one is at and tell you when something gets left behind.
When a machine alarms, we look up the alarm in its manual and in your past repairs and send the technician a short list of fixes that worked before.