Closing the gap between AIand the physical world.
We train frontier AI models and build the robots that run them, for facilities where conventional automation falls short.
We build robots and train AI models for facilities management.
Conventional robotics cannot operate here.
Labour at scale
Tens of millions of people clean, maintain, and secure buildings every day. The work stays manual because the spaces shift too much for conventional robots to follow.
Built for warehouses, not buildings
Warehouse robots need fixed layouts and controlled conditions. Facilities give them the opposite: obstacles that move and surfaces that change. Industrial automation breaks at the same point.
It's an AI problem before a hardware problem
The environment changes faster than a pre-programmed system can keep up with. It takes embodied AI: models that perceive and act in real time, trained on data from working facilities.
Our team works on hardware to AI.
Model
Vision-language-action models that turn perception and language into motor commands, trained end to end on real sensor data.
Autonomy
Navigation, mapping, and contact-rich manipulation for the cluttered spaces conventional autonomy can't handle.
Hardware
The robots, power, and sensing that carry the models into the field and hold up there.
Deployment
Hotels, airports, and office buildings in daily operation. Every run feeds data back into the model.
Join us at the frontier.
We train the models, build the robots, and deploy them in real facilities. The hardest unsolved problems in embodied AI, with a team that ships.