The intelligence stack
PAI Labs works across the whole stack. Intelligence is only useful when it survives contact with actuators, sensors, latency and physics.
Perception
Turning images, depth and sensor data into actionable representations of the physical environment.
Planning
Translating goals into sequences of actions that respect the constraints of real robotic systems.
Control
Converting intelligence into precise physical motion.
Built on frontier AI.
Technologies we continuously evaluate and apply where they earn their place on real hardware.
- Vision-Language-Action Models
- Robot Foundation Models
- World Models
- Reinforcement Learning
- Imitation Learning
- Generative Models
- 3D Vision
- Robot Learning
- Simulation
- Sim-to-Real
- Classical Planning
- Optimization
- Real-Time Control
From idea
to physical system.
01
RESEARCH
02
PROTOTYPE
03
SIMULATE
04
TRAIN
05
DEPLOY
06
MEASURE
07
ITERATE
ContactHave a physical
Have a physical
AI problem?
Whether you are exploring a new robotic application, looking to automate a physical process, or developing the next generation of intelligent machines, let's build it.