From robot video to training-ready physical supervision.

  1. 1

    Bind the source

    Map episode IDs, camera streams, frame clocks, actions, telemetry.

  2. 2

    Establish physical time

    Timing anomalies and coverage gaps are recorded.

  3. 3

    Calibrate to the corpus

    Where the dataset carries physical sensors, calibration and quality checks use them. Where it doesn't, a corpus-specific review and validation protocol stands in.

  4. 4

    Generate the five signals

    Emitted with confidence and abstention. When the scene doesn't support a label, the system declines.

  5. 5

    Audit held-out data

    Each pack ships with its quality report and known limits.

  6. 6

    Deliver a versioned overlay

    Manifest, checksums, provenance, corrections history.

Search and review

Review software

The review software inspects uncertain labels, searches transitions, validates corrections. We sell the data, not the software.

Start a private-data pilot.

One task, one frozen baseline, and a success criterion agreed before labeling begins. Sample slices ship with the first pack deliveries.