Scales AI data for embodied intelligence and physical AI systems by providing egocentric data capture, large-scale field operations, processing and training pipelines, and research on interaction-data scaling. Provides a distributed human-data operations layer for annotation, collection, and workforce orchestration aimed at teams building vision–language–action models and real-world AI agents.