Cloud AI
Fleet learning, dashboards, and models that improve across sites. Use it when machines can talk home and you want one picture of quality, faults, and use.
Where it runs
Fleet learning, dashboards, and models that improve across sites. Use it when machines can talk home and you want one picture of quality, faults, and use.
Inference on the device or the cell — industry floors and consumer products that must decide with weak or no network. Low latency, data stays on the unit when it should.
What we build
AI that reads sensors, logs, and operator notes to locate a fault faster than a binder of error codes.
In-line and end-of-line checks that flag drift and rejects before a batch leaves the cell.
Camera-based AI for surface defects, assembly errors, and missing parts — on the line or at goods-in.
Operators ask and command in natural language. The system maps that to the machine’s real controls and status — not a chat window that ignores the plant.
Cells, yards, and plants: fault finding, inspection, and language on the equipment people already run.
Edge AI inside a finished device — diagnostics, guidance, and control that ship with the product.