AI & ML systems
Prediction, anomaly detection, optimisation and generative systems, built into the operation, measured against the P&L, hardened for scale.
Tech projects, digital and AI transformation, designed, built and operated by people who have shipped at population scale. The industry's open secret is that most AI pilots die in the lab. Ours are built to survive contact with the floor.
Prediction, anomaly detection, optimisation and generative systems, built into the operation, measured against the P&L, hardened for scale.
From paper and tribal knowledge to instrumented operations. Roadmap, sequencing, vendor calls and change management, owned end to end.
The unglamorous layer everything depends on: data platforms, integration architecture, security and the build-vs-buy calls that haunt companies for a decade.
Vision on existing camera estates, satellite and geospatial analytics, telematics: perception systems that watch what people cannot.
Physics-grade virtual replicas that compress months of physical testing into days, for cells, fleets, plants and networks.
A fixed-scope read of a troubled build, across architecture, team and delivery risk, ending in a 90-day plan. When the previous team has left, we take the controls.
Two to three weeks inside the operation: architecture, data, team and economics. It ends in a verdict on what to build, what to buy and what to stop, not a workshop.
Systems designed against the real constraints: connectivity, hardware estates, compliance, the people who will actually use them. A partner signs the architecture.
A production engineering pod builds in cadence: web and mobile, data platforms, vision, simulation, applied AI. Scaled with the roadmap, stood down when done.
We stay through stabilisation, instrument the outcomes, train your team and hand over a system your people own, with the option of an operating seat if you want us to stay.