Every service is built, put live and run for you on a monthly plan. Search, or filter by sector and category.
For businesses whose visitors come for different reasons. The site shows each visitor the most fitting headline, image and offer based on where they came from and what they looked at, without anyone changing pages by hand.
For businesses whose customers appear several times across email, phone and accounts. The AI matches records that belong to the same person, using only details customers gave you, so you stop double-messaging them.
For online 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 owners spending on several channels, like Google, Meta, flyers, and email, who cannot tell which ones really bring sales. The model looks at your sales and spend over time and shows what each channel truly contributes and how to split next month's budget.
For support teams where tickets bounce back and forth. The AI learns from your past solved tickets which fix works best for each problem and shows agents the most likely answer first. More problems get solved in one reply.
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.
Change a price once and we update it everywhere: the till, your online shop, your marketplace listings and your shelf labels. Afterwards every place is checked, and you get a list of anywhere still showing the old price.
An agent that 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 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 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 pulls bank feeds and your ledger, matches transactions automatically, and categorizes and proposes journal entries for the unmatched. It flags suspicious or duplicate transactions and holds all entries for accountant approval before posting.
An agent that drives the close checklist, kicking off accruals, reconciliations and inter-company entries in dependency order, chasing owners for their sub-tasks, and tracking readiness in real time. It blocks the close from advancing until each control passes and a controller signs off.
An agent that 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 reads each new support ticket, resolves the ones it can from your knowledge base with a grounded answer, and routes the rest to the right queue with a diagnosis and priority. It enriches tickets with account context and flags likely churn or escalation risk.
An agent that monitors reviews across Google, Yelp, marketplaces and app stores, drafts on-brand responses tuned to sentiment and issue, and routes serious complaints to a manager before posting. It tracks reputation trends and surfaces recurring product/service problems.
An agent that monitors social platforms and communities for brand mentions, categorizes each by intent (complaint, lead, question, praise), and drafts or routes the right action. Sensitive or high-reach mentions are held for a human before any public reply.
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 takes a new property listing, generates channel-tailored copy and media sets, publishes to portals and social, and keeps status (price, availability) synced across all of them. It corrects portal rejections automatically and flags policy issues for the agent.
An agent that tracks each pet's vaccination and wellness schedule, sends owners timely reminders, and books due appointments into open slots. It handles reschedules, flags overdue high-risk cases for staff, and keeps the practice records in sync.
An agent that analyzes item-level sales and food costs, recommends menu and pricing changes to boost margin, and translates the resulting demand into supplier orders. It drafts orders against par levels and holds them for the manager's approval before sending.
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 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 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.
An agent that researches brands aligned to a creator's audience and values, builds a fit-scored target list with contact paths, and drafts personalized pitch outreach with the creator's media kit. Every pitch is held for the creator's approval before send.
An agent that finds user-generated content mentioning your brand, requests usage rights from creators, tracks consent, and files the licensed assets with their permissions into your DAM. It blocks any asset from use until rights are confirmed and logged.
An agent that intakes vehicle issues and inspection findings, builds a parts-and-labor estimate from your catalog and labor guide, checks parts availability, and sends the customer an approval request. On approval it orders parts and schedules the bay; it escalates safety and warranty issues to a service advisor.
An agent that audits each franchise location against brand standards using submitted photos, POS data, reviews and checklists, scores compliance, and opens corrective-action tasks with deadlines. It tracks remediation across locations and escalates repeat or severe violations to the franchisor.
An agent that manages every location's local listings and reviews at scale: keeping NAP data accurate across directories, responding to reviews per location in brand voice, and fixing listing inconsistencies. It flags reputation dips and duplicate/rogue listings for the marketing team.
An agent that watches transaction and account-behavior signals, correlates them into fraud cases with a risk score and the contributing evidence, and takes protective action (hold, step-up verify) within policy. It queues borderline cases for a fraud analyst and never blocks a customer beyond policy without review.
An agent that watches support tickets, product changes and doc-feedback signals to detect stale, missing or contradictory knowledge-base content, and drafts updates grounded in the source of truth. Each change is staged for an owner's approval before publishing, with a redline of what changed.
For businesses whose data sits in many systems and gets copied into spreadsheets by hand. We build a scheduled pipeline that pulls from your databases and apps, cleans the data and loads tidy tables into one warehouse. AI watches each run and explains problems in plain words.
For companies whose reports run on fragile, undocumented data logic nobody dares touch. We move raw data into a clear landing area and rebuild your reporting tables as versioned, tested models with documentation. AI keeps the documentation current and explains each model's purpose.
For companies that need to react to what happens in their app or devices within seconds. We build a streaming pipeline that takes in events, combines them over short time windows and feeds fast results to your app or dashboards. AI watches the flow and explains delays or unusual spikes.
For companies with useful customer data in a warehouse that their sales and marketing tools never see. We push segments and figures back into your CRM, email and support tools on schedule, sending only what changed. AI explains sync failures and suggests field mappings.
We set up automatic data-quality checks that run on every data load, testing freshness, sudden changes in volume, missing values, duplicates and broken links between tables. Failures raise alerts and can stop bad data from reaching dashboards.
We 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 design a clean analytics tracking plan and instrument your web and mobile app to emit consistent, typed events into your warehouse. Every event follows a governed schema so downstream analysis isn't guessing what a field means.
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 whose customer information is scattered across store, email, ads and support tools. We bring it together into one profile per customer, linking their activity across devices and channels, and build segments you can send to your marketing tools. AI suggests segments and summarises customer behaviour.
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.
We design and build a dimensional (star-schema) model for your warehouse, defining conformed dimensions and fact tables that make analytics fast and intuitive. We handle slowly-changing dimensions so history is preserved correctly.
For businesses that rely on notifications from payment and software providers and occasionally lose them. We set up a receiver that checks each notification is genuine, removes duplicates, stores it safely and delivers it to your systems, replaying any that fail. AI watches deliveries and explains failures.
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 businesses whose customer lists are full of duplicates from typos and different spellings. We build a matching engine that finds duplicate records and merges them by your rules, sending uncertain ones to staff. It keeps running on your own infrastructure so new duplicates do not creep back.
We stand up managed connectors that pull data from your key SaaS tools — payments, ads, support, CRM — into your warehouse on schedule with schema handling and incremental loads. New sources plug in without custom code each time.
We implement 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.
We consolidate data from many branches, franchises, or stores that each run their own systems into one central warehouse with a common model. Local quirks are normalized so headquarters compares locations on equal terms.
We build an automated reconciliation pipeline that matches transactions across your payment processor, bank, and ledger, flagging mismatches and unexplained gaps. It runs daily and produces an exception report for finance to clear.
We build an automated pipeline that locates, exports, or deletes all data for a given individual across your systems when a privacy request your team has verified and approved comes in. It produces a verifiable record of what was found and actioned.
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 companies where every report shows a different revenue or customer count. We define each metric once in one central place, so every dashboard and query calculates it the same way. AI answers questions about metrics and explains definitions in plain words.
We build the data model and data flow that link ad clicks, visits and sales into complete customer journeys, sharing the credit across every channel that helped. Marketing sees which spend actually drives revenue.
We connect your POS systems to one central data flow that pulls sales, items and payments into the warehouse continuously, made consistent across terminals and locations. Retail analytics run on complete, up-to-date transaction data.
We build a pipeline that turns raw clickstream events into sessions, funnels, and paths, computing session boundaries and page sequences. Product and growth teams analyze how users actually move through your app.
We 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 migrate your on-premise or legacy warehouse to a modern cloud platform, moving schemas, data, and transformation logic while validating parity at each step. We plan the cutover to avoid disrupting reporting.
We build a 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 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 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.
For businesses whose dashboards load slowly and show different numbers for the same thing. We build the tidy tables, summaries and metric layer behind your dashboard tool, connect it, and check every report. AI answers questions about your numbers in plain words.
We build a Customer 360 model that joins every interaction — orders, support, marketing, product usage — into one unified customer view with computed lifetime value, health, and stage. Every team queries the same complete picture.
We build robust backfill tooling for your pipelines so you can safely reprocess historical data for a date range or fix a bad load without corrupting downstream tables. Recovery from a bad day becomes a routine command.
We audit an existing warehouse for schema debt, unused tables, redundant models, broken lineage, and slow queries, then deliver a prioritized remediation plan with the quick wins already applied. You learn exactly what to fix and why.
For teams whose data lake only updates overnight and slows down with tiny files. We build a continuous feed that lands events in analytics-ready tables, tidying files and partitions as data arrives. AI watches file health and explains slowdowns.
We integrate your payment processors into a unified data layer that normalizes charges, refunds, disputes, and fees across providers into consistent transaction records. Finance analyzes payments across processors as one dataset.
We 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 a streaming pipeline that enriches live events by joining them against reference data and other streams in real time, so each event carries full context as it flows. Downstream consumers get enriched events, not raw fragments.
We build an ongoing data-quality scorecard that measures completeness, accuracy, consistency, and timeliness across your key datasets and reports trends to stakeholders. Data health becomes a managed, visible metric.
We 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.
We wire a circuit breaker into your reporting so that if upstream data is stale or failed quality checks, dashboards show a clear warning or hold the last good data instead of silently displaying wrong numbers. Bad data never poses as truth.
We stream database changes directly into a search engine index so your app's search stays in sync with the source of truth in near real time. New and updated records become searchable within seconds without batch reindexing.
For online businesses that want their site or app to react to what a visitor just did. We build the data layer that keeps an up-to-the-moment profile for each visitor and feeds it to your site so content and offers adapt right away.
We set up a right-sized cloud data warehouse for a smaller business — connecting your handful of core tools, modeling the essentials, and wiring a dashboard, without enterprise overkill or cost. You get real analytics affordably.
Employees photograph receipts and the system reads them, picks out merchant, amount, tax and date, sorts each expense against your accounts and policy, and files them into the expense system. Out-of-policy or duplicate receipts are flagged for a reviewer before reimbursement.
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.
Scans your contract repository to extract renewal, notice-period, and expiry terms, then builds a proactive calendar that alerts owners ahead of every auto-renewal and termination window. Ambiguous or missing dates are routed for human confirmation.
Extracts the key economic and legal terms from commercial leases — base rent, escalations, CAM, options, co-tenancy, and critical dates — into a standardized abstract per property. Abstracts feed lease-accounting and portfolio systems with source-page citations for every field.
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.
Parses bank and card statements from any institution into normalized transactions, categorizes them, and reconciles balances and flows. Output feeds your bookkeeping and reconciliation workflows with anomalies and gaps flagged for review (not used for credit or affordability decisions).
Extracts 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.
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.
Extracts ingredients, quantities, and prices from supplier price lists, invoices, and recipe sheets to compute per-dish food cost and margins across a menu. Price changes and margin erosion are flagged for the operator.
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.
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 fuse your sales history with historical and forecast weather (temperature, rain, wind, heat indices) to model how conditions move demand for weather-sensitive lines. Deployed with a live weather feed, it turns the next 14 days of forecast into a demand adjustment per product and location.
We model visitor and footfall patterns for each of your locations using historical counts, day-of-week, seasonality, local events and weather. It outputs hour-by-hour traffic predictions so you can align opening hours, staffing and stock to when people actually walk in.
We build a model that quantifies how nearby events — concerts, matches, conferences, holidays, school terms — shift demand at each of your locations. A live events calendar feeds the model so you get surge and lull alerts weeks ahead.
We 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 train a churn model on your subscriber or customer history — usage, billing, support tickets, engagement — that scores every account's probability of leaving in the next 30/60/90 days. It surfaces the specific risk drivers per account so retention teams act on causes, not just scores.
We 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.
For shelf-life-limited goods, we forecast demand at daily granularity and optimise ordering against expiry dates to minimise both spoilage and stockouts. It recommends markdown timing to clear stock before it perishes.
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.
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.
We predict per-location sell-through for each product and size/variant to recommend which items and how deep to carry at each site. It trims tail SKUs that don't earn shelf space and deepens winners before they stock out.
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 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 forecast revenue by segment, product line and channel using bookings, open deals, seasonality and wider economic drivers. It produces a base, upside and downside range each period so leadership plans on a range, not a single number.
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 required staffing by role, day and hour from predicted demand, service-time standards and coverage rules. Deployed against your scheduling data, it converts a demand curve into a headcount-by-hour requirement each site needs.
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.
It monitors competitor pricing from official APIs, licensed price feeds or sites that permit automated access, and predicts how your volume and margin respond to their moves and to your counter-moves. It recommends whether to match, hold or diverge on each item based on measured cross-effects.
For businesses deciding how much to spend winning customers. We predict each customer's future value from their purchase history, so marketing can set budgets and focus on the most valuable groups.
We predict long-term customer value from only the first days or first order, so you can identify future high-value customers before they've spent much. It transfers patterns from mature cohorts onto brand-new customers.
We predict when each customer is next likely to buy and what, from inter-purchase intervals, category cadence and lifecycle stage. It powers well-timed replenishment reminders and next-best-offer campaigns.
We forecast 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 customer wait times in real time from current queue state, staffing, service-time distributions and arrival forecasts. Deployed to your app or displays, it gives customers accurate estimates and managers early congestion warnings.
We predict conversions, revenue and ROAS for planned ad campaigns from creative, channel, audience, spend and historical performance. It forecasts what a campaign will return before you commit budget and reallocates mid-flight.
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 fraud and chargeback loss rates by channel, product and cohort, and score transactions for fraud risk in real time. It gives finance a loss projection and operations a live risk queue tuned to your acceptable false-positive rate.
For places where customers wait in line — counters, check-ins, reception desks. The AI forecasts how long each queue will get hour by hour, so you open another counter or move staff before the line forms.
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.
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.
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.
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.
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.
Mines purchase patterns to design product bundles and cross-sell offers that maximize incremental margin. Chooses bundle contents and pricing that lift attach rate without cannibalizing standalone sales.
Decides which products to stock at each store based on local demand, space, and assortment rules. Tailors range by location to lift sales per square foot while controlling SKU proliferation.
Sets dynamic parking or space rates by time, demand, and event to maximize revenue and utilization. Predicts occupancy and adjusts pricing and allocation to avoid both empty bays and overflow.
Distributes a fixed labor budget across stores and dayparts to maximize service and sales given each location's demand pattern. Sets hour targets per site and reallocates as demand shifts.
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.
Recommends where to open, relocate, or close locations to maximize coverage and revenue while minimizing cannibalization and cost. Optimizes the network against demand geography and constraints.
Forecasts contact volume by interval and computes staffing that meets service-level targets at minimum cost, then routes contacts to the best-skilled agent. Combines Erlang staffing with skills-based routing.
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.
Sets timed markdowns on dated perishables to maximize recovered revenue before expiry across each store. Predicts sell-through at each discount and schedules reductions per item and shelf life.
Structures the optimal mix of price discount, add-ons and trade-in allowance that closes a deal at target profit (financing terms stay with your licensed lender). Uses predicted close probability and customer sensitivity to shape each offer.
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.
Plans franchise territories and the sequence of new-unit openings to maximize network coverage and revenue while limiting cannibalization. Optimizes boundaries and rollout timing against demand geography.
Allocates shelf space and positions across categories and SKUs to maximize sales per linear foot given demand and adjacency rules. Produces optimized planograms and re-optimizes with demand shifts.
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.
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.
For online stores and content sites that show everyone the same items. We build a recommendation engine that learns from browsing and buying to suggest the right products to each visitor, with your business rules on top.
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 businesses whose AI search outgrew its demo setup. We move your search database to a production setup that handles growth and failures, switching over without downtime.
For businesses whose AI search goes stale or costs a fortune to rebuild every night. We build a pipeline that updates only what changed, with checks that search stays consistent.
We train a custom cross-encoder reranker on your click and relevance data so ranking reflects what your users actually find useful. We measure NDCG gains over generic rerankers before shipping.
We 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 brands and agencies that need lots of product and campaign images in a consistent style. We set up a private image generator trained on your products and look, so your team creates on-brand images without paying per picture.
For shops and booking sites whose recommendations only work for regular customers. We add a layer that suggests good products to brand-new visitors and gives brand-new products a fair chance, using what items are like and the visit context.
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 deploy a real-time detector that spots BIN enumeration and card-testing bursts by watching micro-authorization patterns, decline ratios and shared device/IP fingerprints across your checkout. It auto-throttles, injects challenges, and quarantines attacking sessions before they burn your processor good-standing.
We train a model on your settled transactions and dispute outcomes to predict which orders will become chargebacks, scoring each at checkout and post-purchase. High-risk orders route to manual review, delayed fulfilment, or proactive refund to dodge the dispute fee.
We deploy a model that separates genuine 'item not received' disputes from friendly fraud by correlating delivery evidence, device history, prior dispute behaviour and account tenure. Flagged first-party fraud gets auto-assembled representment evidence to win the chargeback.
We build a continuous ATO detector that models each user's normal device, geo, and behaviour, and scores login and post-login events for takeover signals like impossible travel, credential reuse and sudden setting changes. High-risk sessions trigger step-up auth or lockout in real time.
For online businesses whose login page gets flooded by bots trying leaked passwords. We deploy a detector that spots these waves, checks for known leaked passwords, and slows or challenges the attack until it stops.
We deploy a detector that finds review fraud by clustering reviewer accounts, timing bursts, text similarity, and purchase-verification gaps across your marketplace or storefront. Suspicious reviews are quarantined and rings are surfaced for enforcement.
We build a detector for loyalty-program abuse — points farming, account merging, self-referral and unauthorized redemption — by modelling earning/redemption patterns and account relationships. Anomalous point flows are frozen and flagged for review before redemption.
We deploy a detector that flags refund abuse — serial 'item not received' claims, wardrobing, and refund-then-keep patterns — by profiling customer refund history and cross-account links. High-risk refund requests route to manual review or require proof before processing.
We build a detector that finds promo-code abuse — multi-accounting to reuse first-order discounts, code sharing, and stacking exploits — by linking accounts via device, payment and address signals. Abusive redemptions are blocked or clawed back automatically.
We deploy a returns-abuse system that scores customers and orders for serial returning, bracketing, worn-item returns and return fraud using purchase and return history plus item-condition signals. High-risk returns are routed to manual inspection while good customers keep frictionless returns; statutory return rights are never removed.
We build a detector that identifies resellers and inventory-hoarding bots on limited-stock drops via velocity, account-clustering, checkout behaviour and shipping-consolidation patterns. Detected resellers are throttled, held, or purchase-limited to protect genuine customers.
We build a detector for gift-card fraud — balance-checking bots, cracked codes, and laundering of stolen cards into gift cards — by monitoring redemption velocity, balance-check patterns and purchase-to-redemption links. Suspicious cards are frozen and flagged before value is drained.
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 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 click-fraud detection service that scores ad clicks for invalidity using IP/device reputation, click-timing, conversion-consistency and bot-behaviour signals. Invalid clicks are filtered in real time and compiled into refund-claim evidence for your ad networks.
We build a detector that finds affiliate fraud — cookie stuffing, self-referral, fake leads and traffic laundering — by analysing conversion quality, traffic sources and affiliate-to-customer links. Fraudulent affiliates are flagged and commissions held before payout.
We deploy an automated anomaly-detection layer over your business metrics — revenue, signups, conversion, error rates — that learns seasonality and alerts on statistically significant deviations. Alerts include probable-cause segmentation so teams know where to look.
We deploy a detector that scores marketplace listings and sellers for fraud — counterfeit signals, stolen imagery, price-too-good scams, and bait-and-switch patterns. High-risk listings are held from publication and sellers are risk-tiered for monitoring.
We build a detector that flags fraudulent and abusive warranty claims — claims outside coverage, serial-number reuse, and dealer/repairer collusion — by analysing claim patterns and entity links. Suspect claims route to review before reimbursement with the driving indicators.
We deploy a detector that flags odometer rollback and vehicle-history fraud by cross-checking mileage readings across service, inspection and listing records for impossible decreases and inconsistencies. Suspect vehicles are flagged with the conflicting records for verification.
We deploy a configurable velocity engine that tracks counts and sums across any entity — card, device, email, IP, address, account — over sliding windows and triggers rules when thresholds are breached. It gives your fraud team a self-serve way to author and test velocity rules without engineering.
For businesses with several fraud tools, rules and lists that do not talk to each other. We build one decision service that combines them all and returns approve, review or decline with reasons, and logs every decision.
We deploy a case-management workbench that aggregates alerts from all your detectors into a prioritized, deduplicated review queue with full entity context, linked history and one-click actions. Analyst dispositions feed back as labels to continuously improve your models.
We deploy a system that ingests incoming disputes, classifies reason codes, decides fight-vs-accept by predicted win probability, and auto-assembles representment evidence packages from your order and delivery data. Winnable disputes are contested automatically within network deadlines.
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.
Continuously pulls calls, chats, emails, reviews and survey text into one place, then extracts themes, complaints, feature requests and sentiment trends across every channel. Surfaces emerging issues on a live radar before they blow up.
Listens to live support and sales calls where callers have been told the call is transcribed, and surfaces the right knowledge-base answer, next-best-action and script reminders you define to the agent in real time. Auto-fills the wrap-up notes and disposition when the call ends.
Transcribes and clusters inbound calls to discover the true reasons customers call, mapping them against your IVR menu and self-service options. Identifies which call reasons are deflectable and where the IVR misroutes.
A managed pipeline that localizes your marketing and product content across many languages with translation memory, brand glossary and in-context QA. Syncs approved translations back into your CMS automatically.
Aggregates reviews, NPS/CSAT verbatims and app-store feedback, then classifies drivers, detractors and promoters and quantifies their impact on your score. Tracks driver movement over time and by location.
Analyzes call transcripts and chat text for escalation language, repeated unresolved issues and churn signals in near real time, alerting supervisors before a customer walks. Correlates escalation patterns with outcomes and issue types (no voice-based emotion inference, no per-agent scoring).
Silently coaches agents during live calls with real-time nudges on empathy, compliance, pacing and required steps, visible only to the agent. Gives each agent a private post-call recap; supervisors see only team-level coaching themes.
Keeps your help center and knowledge base translated and in sync across every language: when an English article changes, it re-translates, flags for review and republishes the affected locales. Enforces terminology consistency.
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.
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.
Transcribes drive-thru and phone orders in noisy environments (no voiceprints or speaker identification; audio is deleted after transcription), structures them into POS line items with modifiers, and flags upsell and accuracy issues. Provides order-accuracy analytics across locations.
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).
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.
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.
Measures how closely reps and agents follow approved talk tracks and scripts across calls, scoring adherence, deviations and the impact of going off-script. Highlights which script sections get skipped.
Localizes menus, signage, labels and in-store copy across languages with dietary and allergen terms drawn from a verified glossary and every allergen line flagged for your staff to sign off before print, output print- and screen-ready. Keeps translations updated as items change.
Analyzes text-channel conversations — chat, email, messaging — for intents, resolution, sentiment, effort and compliance, complementing your voice analytics. Unifies text and voice insight in one dashboard.
Ingests messaging-channel conversations across languages to mine intents, sentiment, sales signals and compliance issues, and to power routing and analytics. Respects consent and opt-out records.
A mobile-first service that captures in-person sales/visit conversations (recorded only after the customer agrees), transcribes and structures them into visit reports, and logs outcomes and next steps to your CRM. Works offline and syncs later.
Monitors reviews across platforms in every language, drafts on-brand, policy-compliant responses in the reviewer's language, and routes them for approval and posting. Escalates serious complaints to the right team.
Correlates automated post-call/IVR surveys with the actual call content and sentiment to explain why customers scored as they did, and to flag surveys that contradict the call. Feeds validated CX metrics to leadership.
Connects to your review sources and emails a weekly digest of what customers loved, complained about and asked for, with sentiment trend and standout quotes. Simple, no dashboard to learn.
Fixed cameras or associate phone sweeps detect empty facings, misplaced SKUs, and deviations from the planogram across every aisle. It ranks gaps by lost-sales impact and pushes restock tasks to store staff.
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.