Process steering & optimisation
Recommend settings from material properties, machine data, quality outcomes, and historical performance.
Throughput ↑ · cycles ↓ · stability ↑Industries and applied intelligence
Domain depth where generic AI stops.
We build around the physics, decisions, safeguards, and economics of your operation. Explore these proven starting points, or bring us a use case that does not fit a template.
01 · Industrial & Manufacturing
Make production more adaptive, efficient, and reliable.
Connect process knowledge with plant data to recommend better actions at operational speed.
Energy-aware production planning
Schedule against electricity prices, CO₂ intensity, consumption, deadlines, and capacity.
Energy cost ↓ · emissions ↓ · margin ↑Predictive maintenance
Predict machine failures early and recommend targeted maintenance actions.
Downtime ↓ · availability ↑Surface defect detection
Detect scratches, dents, coating issues, edge damage, stains, and cracks in real time.
Scrap ↓ · quality consistency ↑02 · Energy & Utilities
Turn volatility into better operating decisions.
Forecast conditions, optimise flexible assets, and help operators act under uncertainty.
Demand & generation forecasts
Probabilistic forecasts grounded in weather, asset, and market signals.
Flexible load orchestration
Shift consumption while respecting process, contract, and grid constraints.
Grid & asset intelligence
Prioritise interventions through risk, condition, and operational impact.
03 · Medical & Healthcare
Private intelligence for record-intensive care.
Organise fragmented medical information into traceable, review-ready clinical narratives.
Longitudinal patient intelligence
Extract encounters, conditions, medications, vitals, and relationships from complex patient records while keeping reviewers connected to source evidence.
- Clinical chronology and patient summary
- Interactive evidence graph
- Private or on-premise deployment
- Human verification before export
Your domain is the starting point
Have an application we have not listed?
The best custom ML work often begins where packaged software runs out of road.