One verified stack for every Physical AI system.
The same calibrated, verified, neutral data stack, tuned to the sensors, scenarios, and standards each domain runs on. One pipeline behind autonomy, robotics, embodied AI, energy, and industry.
Why one stack across every domain.
Different sensors, different scenarios, different regulators. The data problem underneath is the same, and so is the stack that solves it.
Built for safety-critical autonomy.
The data holds up under real-world edge cases and regulatory scrutiny, in production across 200+ programs in the most demanding domain there is.
One stack, not five vendors.
Calibration, labeling, and validation in a single system, so the same verified pipeline carries across whichever domain you ship in.
We do not compete with your stack.
No competing models, and we do not keep your data. Infrastructure you can rely on across domains, not a competitor in disguise.
Built for every Physical AI system.
The same verified stack, tuned to the sensors and standards your domain runs on. Pick your domain to see how it fits.
Autonomous vehicles & ADAS
Fused LiDAR, camera, and radar data for L2 to L4 programs, validated to the standards your regulators actually read.
Robotics & mobile autonomy
Calibrated multi-sensor data and object tracking for manipulation, navigation, and warehouse autonomy at fleet scale.
Humanoids & embodied AI
Training data for humanoids and general-purpose robots learning to perceive, reason, and act in the world.
Energy & digital infrastructure
Point-cloud labeling and verification for inspection, oil and gas, and high-fidelity digital twins of real assets.
Industrial mapping & survey
Survey-grade LiDAR and segmentation for factories, sites, and large-scale industrial mapping and monitoring.
Proven where it counts.
The teams shipping Physical AI in the field run on the same verified stack, across every domain.
Built for your domain.
Tell us the sensors you run and the standards you ship to. We will show you the verified stack behind your domain.












