OriginFlow

OriginFlow builds embodied-AI data infrastructure based on human manipulation signals. The company uses wearable sensing and human-motion capture to turn real human skill into training data for robots, supporting physical-AI systems that need scalable demonstrations for dexterous work.

Market context

OriginFlow is relevant because dexterous robot behavior is constrained by data quality, not only hardware. The company is building a data layer for fine manipulation, home-service skills and physical interaction datasets that robot builders can use to train more capable systems.

Facts

Funding

Investors

Embodied-AI data layer for dexterous robot learning

OriginFlow builds data infrastructure for embodied AI, using human manipulation and neuromuscular signals to produce higher-quality robot skill data.

Events

Team

Context tags

OriginFlow canonical Korthos profile