Action & egocentric data for robotics.
Manipulation and embodied policies learn from precise action data and first-person, real-world capture. A capability most vendors don't offer.
action · egocentric · manipulation
Embodied AI needs data from the robot's point of view.
Manipulation and embodied policies need precisely segmented action sequences: start and end frames, success versus failure, and clean exclusion of invalid frames.
Increasingly they also need first-person (egocentric) and teleoperation capture, recorded as the task is actually performed.
How io-ai helps.
Trained experts, an SOP-driven QA pipeline, and rejection-reason metadata on every task, held to over 98% accuracy.
Modalities & techniques
Proven work.
A real robotics & embodied ai engagement, with a hard number.
Warehouse video action labeling for manipulation policies.
Tell us what you're building.
Send us your data challenge and we'll scope a pilot, usually within a couple of working days.