Computer vision, sensor pipelines and edge inference on site hardware, integrated with robotics, cameras and building systems, and operated as production software.
Physical AI is AI that runs where the work happens: a camera on a site, a sensor on a machine, a robot on a floor.
We engineer the vision and sensor pipelines, run inference at the edge where latency or connectivity demands it and in Azure where it does not, and integrate the results with the systems that act on them: robotics controllers, access and building systems, dispatch and job platforms. Devices are managed, patched and monitored like any other production fleet, every model decision is logged, and a person stays in front of any action that cannot be undone.
Detection, counting, reading and inspection from fixed and mobile cameras, tuned on the client's own footage.
What you get
Ingest from machines, meters and environmental sensors into one time-series store with alerting.
What you get
Inference on site where latency or connectivity requires it, with the fleet managed as production infrastructure.
What you get
Integration with robotics controllers, access control, building management and dispatch systems through their published interfaces.
What you get
The controls that let a business stand behind a system that acts in the physical world.
What you get
How it is shaped
A site assessment and a proof on real footage or sensor data first. Then a fixed-scope pilot on one site, then rollout under a managed service.
Brisbane head office.
