Robot learning has no debugger

Turn real world failures into repeatable evals and learn what to fix next.

Every failure should explain itself

We ingest real world rollouts alongside the data, annotation, eval, and policy versions that produced them.

We group recurring failures, turn them into repeatable evals in simulation, and identify the pipeline changes most likely to explain an improvement or regression.

Explore the Platform
  • Rollout Lineage
  • Failure Clustering
  • Simulation Evals
  • Regression Analysis
  • Robotics Data Quality
  • Policy Decisions
Run Robotics

We build for teams that need to learn from robot failures faster.

  • Physical Intelligence
  • OpenAI
  • SpaceX
  • Amazon
  • Runway
  • DoorDash
  • Instawork
  • Humaid
  • Vision Lab

From our Newsroom

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