Platform
From field capture to training-ready robot learning datasets
We run the full workflow for embodied AI teams: physical capture, quality processing, annotation, validation, and packaging. It is a managed data collection service, not a waitlist.
Pipeline
Four stages, one continuous flow
Capture
Field operators deploy calibrated POV and multi-camera rigs. Sessions record RGB, optional depth, IMU, and controller signals in synchronized streams. Raw data is encrypted at the device and transferred over secure channels.
Process
Footage passes automated quality checks for blur, occlusion, and sensor sync before annotation. Human reviewers label manipulation events, object classes, scene boundaries, and safety flags. QA rejection rates are logged per annotator.
Package
Approved sessions become versioned releases with a schema manifest, per-frame quality scores, a provenance log, and exports for LeRobot-oriented packages, HDF5, RLDS, and MP4 + JSON sidecars.
Deliver
Teams receive immutable, version-pinned bundles with loader notes. New captures ship as incremental releases. Sample, pilot, and production access are open now through Contact.
Dataset specifications
What ships in each release
Access
Sample, pilot, or production
Sample
Evaluate episode structure before volume
- Sample episode bundle
- Modality & annotation preview
- Format notes for your stack
Pilot / Production
Robotics companies & research teams
- Scoped task collection
- Annotation & validation
- Versioned deliveries
- Optional exclusivity & NDA
- LeRobot / RLDS / HDF5 packaging
For developers
Plug into your stack
Dataset bundles are schema-first. Drop into a LeRobot or OpenVLA-style run, or use RLDS for JAX pipelines. JSON sidecars carry full annotation metadata when you need raw video.