Offer a managed dataset-production service that ingests a buyer's raw videos and robot logs, reconstructs synchronized episodes, generates multiple perceptual labels, and separates outputs into quality tiers appropriate for action supervision or visual forecasting. Begin with a paid dataset-readiness audit and a fixed-volume pilot, then deliver versioned data, provenance records, validation samples, and repeatable processing recipes. Human reviewers handle uncertain task boundaries, contacts, and object identities rather than presenting generated labels as ground truth.

Robot policies increasingly learn from heterogeneous human and robot data while using geometry and future prediction during training, even when those streams are absent at runtime. That shift makes dataset preparation and confidence-aware reuse of imperfect recordings a recurring production workflow rather than a one-off research task.