From raw data to products people use.

Clinical, operational and patient data brought together on platforms built with privacy and access control from day one. Forecasting, document AI and risk models that help care teams plan and act earlier.

• Patient-flow forecasting

  Admissions, bed occupancy and staffing demand predicted days ahead, so rotas and capacity plans keep up.

• Clinical document extraction

  Referrals, discharge notes and forms turned into structured, searchable data without staff retyping them.

• Readmission risk

  Explainable risk scores that help care teams decide which patients to follow up with after discharge.

Transaction, customer and risk data engineered into governed pipelines that auditors and regulators can trace. Models for fraud, credit and reporting that explain every decision they make.

• Fraud detection

  Real-time scoring that flags unusual card, payment and account activity before transactions settle.

• Credit risk scoring

  Explainable models built on your own repayment and spending-pattern data, with the reasons behind each score.

• Regulatory reporting

  Governed pipelines that assemble regulatory and management reports from one tested source of truth.

Learning, admissions and engagement data joined into one view of every student and course. Analytics and AI that help institutions support learners earlier and plan each intake with confidence.

• Student-success prediction

  Early signals of students who need support, surfaced while there is still time to help them.

• Content recommendation

  Next lessons, resources and practice matched to each learner's progress, pace and recent results.

• Enrolment analytics

  Applications, conversion and retention tracked from one data model, by course, campus and intake.

Listings, transactions and property data cleaned and combined so agencies and owners can price, sell and manage with evidence. Valuation, lead and portfolio models built on data you already hold.

• Price estimation

  Valuation models built on listings, past transactions and location data, giving a range instead of a guess.

• Lead scoring

  Enquiries ranked by how likely they are to view, offer or let, so agents follow up first.

• Portfolio dashboards

  Occupancy, yield, arrears and maintenance across every property in one view your team can trust.

Tracking, order and warehouse data streamed into one operational picture of every shipment. Forecasting and document AI that cut manual checks and keep customers informed about arrival times.

• Route and ETA prediction

  Arrival times learned from traffic, delivery history and live tracking, updated as the day unfolds.

• Inventory balancing

  Stock levels balanced across warehouses against forecast demand, supplier lead times and service targets.

• Shipment document automation

  Bills of lading, invoices and customs forms read, checked and routed by LLMs, with human review.

Machine, quality and production data captured from the shop floor and joined with your ERP. Models that warn before failures, catch defects early and keep the production schedule realistic.

• Predictive maintenance

  Sensor and maintenance-log models that warn engineers days before a machine is likely to fail.

• Visual quality inspection

  Vision models that spot surface and assembly defects on the line as parts pass the camera.

• Production planning

  Demand and capacity forecasts that shape the schedule, material orders and shift plans each week.

Booking, guest and review data unified across properties and channels. Forecasting and tailored offers that help hotels and restaurants price smarter and give every guest a better stay.

• Demand and pricing forecasts

  Occupancy and rate forecasts by night, room type and channel, ready for revenue managers to act on.

• Review sentiment

  Guest reviews grouped by theme and property, so teams see what to fix first and what works.

• Tailored guest offers

  Offers, upgrades and messages tailored to each guest's stay history, preferences and booking channel.

Order, provider and location data handled in real time across both sides of your marketplace. Forecasting, dispatch and analytics that keep supply matched to demand, hour by hour.

• Demand and supply forecasting

  Orders and provider availability predicted by area and hour, so supply is in place before demand peaks.

• Dispatch and ETA models

  Smarter job assignment and arrival times learned from live locations, traffic and past jobs.

• Marketplace analytics

  Conversion, retention and unit economics tracked across customers and providers in one model.

Sales, inventory and customer data unified across stores, online and marketplaces. Forecasting, recommendations and pricing analytics that turn that data into better stock and margin decisions.

• Demand forecasting

  Forecasts by product, store and week that feed replenishment and cut both stockouts and overstock.

• Recommendations

  Tailored products and bundles on site, in app and in email, based on browsing and purchase history.

• Pricing analytics

  Price, promotion and markdown effects on volume and margin measured from your own sales data.

Document, matter and billing data engineered for search, reporting and AI-assisted review. Contract and clause models that help legal teams handle volume without losing control of the detail.

• Contract analysis

  Agreements checked against your playbook, with risky or missing clauses flagged for a lawyer.

• Clause extraction

  Key terms, dates, parties and obligations pulled from contracts into structured, searchable data.

• Matter analytics

  Time, cost, billing and outcomes across matters and clients in one dashboard partners can use.

Product, usage and billing data piped into one model of every account and user. Analytics and in-app AI that show what drives adoption and give your customers smarter features.

• Product analytics

  Feature adoption, activation and retention measured from your own event data, by plan and segment.

• Usage-based churn

  Accounts at risk flagged from declining usage and support signals, well ahead of their renewal date.

• In-app AI features

  Assistants, search and summaries built into your product, grounded in each customer's own data.

Governed warehouses and KPI reporting across departments, regions and source systems. One tested version of the numbers that finance, operations and leadership all work from.

• Governed warehouse

  One tested source of truth on Snowflake, Databricks or Microsoft Fabric, with full lineage.

• Self-serve BI

  Power BI semantic models business teams can explore themselves, without waiting on IT for every report.

• Data quality monitoring

  Automated tests and alerts that catch broken or late data before it reaches a report.

Network, usage and customer data streamed and joined at scale. Models that predict churn, flag network faults early and give every team one shared view of each subscriber.

• Churn prediction

  Subscribers likely to leave, with the reason behind each score, flagged well ahead of renewal.

• Network anomaly detection

  Streaming models that flag faults, outages and unusual traffic patterns across the network in real time.

• Customer analytics

  Usage, value and service history joined into one customer view for marketing and care teams.

Member, booking and wearable data brought together in one platform. Engagement models and tailored plans that help clubs and fitness apps keep members active and coming back.

• Engagement and churn models

  Members at risk of lapsing spotted early from their visit, booking and activity patterns.

• Adaptive plans

  Workouts and goals that adapt to each member's progress, schedule and wearable data over time.

• Wearable data pipelines

  Device data ingested, cleaned and made ready for analytics, coaching features and your app.

Audio, stories and books produced with AI under editorial control. Pipelines that turn a prompt or an interview into on-air segments, narrated stories or printed books.

• AI voice production

  Scripts researched, written and voiced with text-to-speech, then scheduled to air with provider failover.

• AI narration

  Natural AI narrators, or a parent's own cloned voice, reading stories in an audio-first app.

• Interview to book

  An AI interviewer turns answers into narrative, then layout, checkout and print-on-demand.

Live match, odds and community data streamed into one platform that fans and analysts can act on. Real-time feeds, side-by-side comparisons and AI insights that make a flood of numbers readable.

• Live match analytics

  Scores and detailed match statistics across football, basketball and tennis, updated in real time.

• Odds comparison

  Prices from several bookmakers lined up and compared side by side, with value-bet tools and calculators.

• Tipster leaderboards

  Community tips tracked against results, ranked by performance, with AI insights shown alongside the data.

Wardrobe, product and customer data put to work in apps shoppers return to. Vision models, style insights and conversational AI that match each person with the right look and products.

• Digital wardrobe

  Clothes photographed and auto-tagged with computer vision, so a whole wardrobe is searchable in minutes.

• Personal style insights

  Fits, shades and how often each item is worn, turned into outfit ideas and style patterns.

• AI skincare advisor

  A bilingual chatbot that spots skin concerns, shares advice and recommends products from your range.

Existing CCTV turned into a live source of alerts and operational data. Vision models that spot theft, safety breaches and queues in seconds and alert the right person.

• Incident detection

  Detection, tracking and zone rules flag theft, PPE breaches, smoke and long dwell times as they happen.

• Evidence-backed alerts

  Each alert carries the clip, location and confidence, and reaches the right manager by push or SMS.

• Site operations dashboards

  Queue times, footfall heatmaps and incident trends for every site in configurable dashboard tiles.