First-person operational data
Collect task-level video, motion, and contextual data from realistic work environments using portable capture systems.
Robata builds structured data pipelines for the next generation of humanoids, Physical AI, and world model systems, from data collection to quality assessment, annotation, and delivery.
Robata connects high-quality data collection environments with professional capture devices and structured workflows, turning real-world human tasks into usable robotic learning data.
Collect task-level video, motion, and contextual data from realistic work environments using portable capture systems.
Convert raw human demonstrations into organized datasets with task taxonomy, quality control, action segmentation and scenario metadata.
Build an expandable contributor and site network for consistent collection across geographies, tasks, and verticals.
Robotics needs more than internet-scale video. It needs grounded, task-specific, sensor-aligned demonstrations that teach machines how people actually interact with the physical world.
Robata focuses on practical, high-frequency human tasks where structured demonstrations can directly improve robotic behavior and real-world automation.
For robotics companies, AI labs, and strategic partners exploring scalable real-world data supply.