The same technologies behave very differently in a hospital, a bank and a factory. These are the problems we are asked to solve most often, by industry — and the accelerators we use to get there faster.
Six core sectors with defined use-cases. We also serve logistics, telecommunications, startups and professional services.
Clinical and operational data that is rich but rarely joined up. We connect it safely, respecting the compliance obligations that come with patient information.
Outcome, throughput and readmission patterns surfaced across departments instead of sitting in separate systems.
Models that assist clinical teams by flagging cases for review — supporting the specialist's decision, never replacing it.
Auditable access controls, data lineage and retention rules built into the platform rather than bolted on later.
High transaction volumes, tight regulatory scrutiny and a low tolerance for false positives. Precision matters more than novelty here.
Pattern and anomaly models that catch suspicious activity while keeping false positives low enough to be workable.
Exposure, credit and portfolio risk modelled on current data instead of last quarter's extract.
A unified customer view across products and channels to drive retention and relevant cross-sell.
Machine data is plentiful; the value is in acting on it before the line stops. We connect shop-floor signals to planning decisions.
Sensor patterns that indicate wear, so servicing is scheduled rather than triggered by a breakdown.
Defect rates traced back to line, shift, batch and supplier to find the real cause.
Capacity and demand modelled together so scheduling reflects what the plant can genuinely deliver.
Margins are decided by inventory accuracy and relevance. Both depend on knowing the customer and the stock position at the same time.
Segment behaviour, basket composition and lifetime value across online and in-store.
Demand models that reduce both stock-outs and the capital tied up in overstock.
Recommendations driven by actual behaviour rather than broad category assumptions.
Institutions hold more data about student progress than they can act on. The opportunity is intervening early, while it still helps.
Engagement and performance signals that identify students needing support before results confirm it.
Conversational help for admissions, course and administrative questions, available outside office hours.
Admissions, attendance, examinations and fees connected into one operational picture.
Public-sector delivery is judged on access and accountability. Both improve when departmental data stops being departmental.
Digital service delivery with clear status tracking, so citizens are not left guessing.
Programme and scheme performance measured against outcomes rather than disbursement alone.
Shared, governed platforms that let departments work from the same information.
Pre-built foundations we configure to your data and processes — cutting the distance between kick-off and something usable.
A conversational assistant grounded in your own documents, policies and systems. Staff ask questions in plain language and get answers with a source attached, instead of searching four systems and asking a colleague.
One resolved customer record stitched across CRM, billing, support and web activity. The foundation that retention, cross-sell and service-quality work all depend on — and the thing most organizations discover they are missing.
A governed landing zone with ingestion patterns, cataloguing, lineage and access control configured from day one — so the lake does not quietly become a swamp in month six.
Board-level KPIs in a single view, refreshed automatically against agreed definitions. No more assembling the numbers the night before the meeting, and no more debating whose figure is right.
Pipeline health, conversion rates and territory performance in one model — with forecast accuracy tracked over time, so the forecast becomes something you can plan against.
Demand, inventory position and supplier performance in a single picture, with exceptions pushed to the people who can act — before they turn into stock-outs or expedite costs.
Most engagements start with one specific frustration — a report nobody trusts, a process that eats a day a week, a platform that will not scale. Tell us yours.