Vision-language and spatial perception pipelines
Robotics and physical AI
Robotics & Physical AI
Systems that perceive, reason and act in the physical world
We help teams connect visual perception, spatial state, task planning and existing control software. The goal is not theatrical autonomy; it is a constrained, measurable system that can recognize uncertainty, recover safely and hand control back when needed.
What we build
Designed around the work—not the demo.
Perception, spatial reasoning and controlled action for robots, devices and automation systems operating beyond the screen.
Object, pose and scene-state estimation
Task planning connected to deterministic controllers
Simulation, synthetic data and evaluation environments
On-device and edge model optimization
Operator interfaces, telemetry and safe fallback states
Production outcomes
Useful after launch.
A defined perception-to-action loop with measurable success criteria
Failures and uncertainty visible in evaluation and telemetry
A modular architecture that separates models, planning and safety controls
Why this matters now
Evidence, not trend-chasing.
Boundaries we define early
Physical autonomy requires hardware-specific safety engineering and extensive real-world validation
Foundation models do not replace deterministic low-level control and emergency systems
Simulation results must be validated against deployment environments