Physical AI / On-prem
The private edge deployment layer for physical AI.
Don’t put a GPU in every device. Put one in every facility. Revere trains and serves a single world model per building, shared by its cameras, robots, and people.
Platform
A shared backbone for the whole building.
- Shared inference
- Large models hot-served on site, beyond the limits of onboard robot compute.
- Private by default
- Video and sensor data stay inside the facility. Nothing needs to reach the cloud.
- Improves with use
- Real tasks and human corrections become training signal for the next deployment.
Shared world model. Shared intelligence. Shared work.