Engineering intelligence for the physical world
Robotics engineering is still fragmented across requirements, calculations, mechanical decisions, and deployment files.
We are building a programmable engineering layer that turns intent into a deterministic robot specification.
Layer / 01
Natural language becomes a structured RobotSpecification. The language model interprets intent, while deterministic validation defines the engineering inputs.
“Pick 500 g boxes from a table and place them on a conveyor 80 cm away.”
Layer / 02
Payload, reach, geometry, torque, gearing, mass, controller requirements, and operating constraints update through a deterministic dependency engine.
Layer / 03
The same specification produces consistent robot artifacts, including URDF, machine-readable manifests, engineering reports, and revision diffs.
Robot design decisions are connected. A payload revision should propagate through torque, gearing, structure, controller requirements, operating limits, and generated artifacts without manual reconciliation.
With the platform
Without the platform
Architecture
We are building the engineering system that connects what a robot must do with how it should be designed.