Building the data layer for Physical AI.
Merit Data helps robotics teams collect, validate and deliver real-world training data for manipulation, teleoperation and embodied intelligence.
From data requirement to usable release.
We work primarily with robotics and AI teams in the United States, while supporting projects across Europe and Asia-Pacific. Each engagement is scoped around the target behavior, embodiment, sensors and model requirements.
Source or collect
Match existing inventory where suitable, or design a custom collection around the required task and environment.
Validate and structure
Apply written acceptance criteria, metadata standards and review workflows before larger production batches begin.
Deliver for training
Package media, sensor streams, task labels, quality status and documentation through consistent episode identifiers.
Built for technical review, not marketing claims.
We keep the process practical: confirm requirements, validate a representative pilot, then scale only after the output is accepted.
Task-specific by default
Capture design starts with the robot behavior and learning objective rather than a generic request for video hours.
Pilot before production
Teams can review representative samples, test compatibility and refine acceptance criteria before committing to volume.
Clear records
Project documentation can cover collection configuration, contributor authorization, data rights, QC and delivery manifests.
Prepared for customer and vendor review.
For qualified projects, we can provide the company and project documents needed for procurement review. Exact requirements are confirmed during onboarding.