Most AI stops at the screen. Physical AI has to see, decide and act on hardware with real latency budgets, thermal limits and safety consequences. That discipline is rare, and it is where we started.
We build the full stack: the perception models, the on-device inference that runs them, the docking hubs and digital twins that coordinate them, and the safety layer that keeps a human in control.
Outcome
Autonomous operations in the field, safety and quality lifted.
Platforms
Perception
Deployment
Safety & assurance
Shipping AI into hardware forces discipline that cloud-only teams never build. That discipline is what we bring back into enterprise work.
Latency budgets
Decisions made where the data is captured, with no cloud round trip on the critical path.
Thermal and power limits
Models compressed and quantised to run on the silicon the device actually has.
Offline reliability
No connectivity assumption. The system keeps working when the network does not.
Safety with no fallback
Fail-safe behaviours, geofencing and fleet monitoring designed in, not added after an incident.
The Factory Brain
The orchestration layer between ERP and PLC. AI recommends, humans approve, the PLC executes — 10–20% less machine idle time.
ExploreSilicon partners: NVIDIA, AMD, Qualcomm.
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Geology microscopy annotated in seconds, not hours — vision models on specialist imagery.
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