The Verification Platform for Robot Policies & Datasets

Before robotics models are deployed, RunRobotics runs physical-world evals across hardware, tasks, and environments to prove what works.

Egocentric robot pick-and-place clip representing dataset coverage scoring84%
Egocentric cup-handling clip representing consensus-weighted review quality0.91
Egocentric keyboard task clip representing label QA reviewQA
Segments · atomic actions4 segments · 10 actions

Rreach first handle

Rpull first portafilter

Our customers have sold datasets made with us into

12datasets evaluating
244,680+clips reviewed
10,513hours reviewed

Every clip gets a training-signal score.

We score downstream usefulness

Industry standard measures surface-level cleanliness

We catch bad robot training signal

Generic QA catches bad labels and doesn't say what labels to update

RunRobotics routes and improves data

Most companies accept or reject data, then label with basic VLMs

Prove Datasets are Worth Training On.

Submit raw egocentric data. RunRobotics turns noisy clips into ranked, reviewable signal.

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