We create the realities
Physical AI learns from.

Train a gripper on different virtual tissues, then test it on unfamiliar materials.Train a gripper on different virtual tissues, then test it on unfamiliar materials.

Simulate how buildings block radio signals, then compare routes through the city.Simulate how buildings block radio signals, then compare routes through the city.

Vary fires in a virtual office and train a model to estimate hazards beyond nearby sensors.Vary fires in a virtual office and train a model to estimate hazards beyond nearby sensors.

Generate fires under different conditions and train a model to forecast their spread.Generate fires under different conditions and train a model to forecast their spread.

Simulate leaks and changing winds, then test whether sparse sensors can locate the source.Simulate leaks and changing winds, then test whether sparse sensors can locate the source.

Vary reactor faults and pair wall-sensor readings with the hidden conditions inside.Vary reactor faults and pair wall-sensor readings with the hidden conditions inside.

Simulate a wind farm under changing wind and turbine settings. Train a model to predict power, use it to choose how the turbines should turn, then check those choices in the physics solver.Simulate a wind farm under changing wind and turbine settings. Train a model to predict power, use it to choose how the turbines should turn, then check those choices in the physics solver.

Simulate radar echoes from drones and birds as their blades and wings move. Train a model to distinguish them, then test its predictions on separate synthetic examples with noise and clutter.Simulate radar echoes from drones and birds as their blades and wings move. Train a model to distinguish them, then test its predictions on separate synthetic examples with noise and clutter.