Real-world capture, processing, quality control, and delivery for embodied AI training and evaluation.
Action is visible. Time is aligned.
Data is organized around tasks, actions, viewpoints, and outcomes so model teams can move directly into training, replay, and evaluation.
Action, objects, and context captured together.
Viewpoints and sensor information stay relatable.
Data remains inspectable and traceable.
Aligned time preserves experience.
Multi-view, depth, motion, and audio are aligned around the task to preserve context for imitation learning and behavior evaluation.
Useful data matters more than more data.
Deliverables combine task definitions, media, timing, quality evidence, and reader guidance for straightforward pipeline integration.
Clear task semantics and asset structure.
Key metrics and exceptions stay visible.
Fast validation for model teams.
The closer capture is to the task, the more useful it becomes.
The edge distillation platform selects, organizes, and feeds back valuable moments where interaction is created.
Download the edge platform
Travel light. Record the whole task.
The terminal kit combines head, chest, and wrist viewpoints, with depth, motion, and audio selected for each task.
The scenario defines the skill boundary.
Designed for manipulation, assembly, inspection, service, and mobility tasks, with delivery adapted to the robot and training objective.
Turn real tasks into a durable data source.
Build long-term collaboration around real workplaces, tasks, and environments.
Let the work speak.
Designed around your task, robot, and training target.
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