RL Envs for Physical AI
Pass or Fail wastes the rollout.
Sparse reward is like grading a student only at the end of the year. We build digital worlds for Physical AI and CAD with dense, verifiable rewards so agents can learn from every action they take.
High-fidelity RL environments
Real world tasks for CAD drafting, manufacturing, and robotics.
Dense rewards
Rewards that cover every step providing guidance at every part of the process using our root cause analysis SDK.
Verifiable Grounded signal
Every reward is deeply tethered to reality, providing a signal that actually moves the needle instead of saturating on a benchmark.
Dense vs. sparse
One rollout. More signal.
Sparse reward tells the trainer only that the final CAD model failed inspection. Dense RCA identifies the first invalid modeling decision and the geometric check that proves it.
Interpret drawing and create base sketch
Extrude base plate and side flange
Place mounting holes from fillet edge
Regenerate and export final STEP
Trusted by teams building frontier agents
Tell us the task. We'll build the world.
Describe the workflow you want your agent to master. We build the environment, with dense rewards on every step, and show you how much faster it trains.
Research
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