About
About Operant
Custom Data Collection for Robotics and Physical AI
Operant is a capture partner for robotics and physical AI teams. We scope programs around your deployment context: contact-rich manipulation, synchronized multi-camera rigs, and tail behaviors your eval can trust. Never a one-size-fits-all download.
Built for the field. Scaled with rigor.
We are not a marketplace trying to understand robotics. We scope capture around physical reality: contact-rich manipulation, synchronized multi-camera rigs, and tail behaviors your eval can trust. We value precision, provenance, and environments your models will actually see.
People behind the capture
Operators, engineers, and QA in the field
A cross-functional team that scopes programs on the floor, not from a catalog.
Elena Vasquez
Head of Capture Operations
Leads field programs across warehouse, lab, and outdoor deployments.
Marcus Chen
Principal Robotics Engineer
Architects sensor stacks, sync pipelines, and acceptance criteria with ML teams.
Priya Nair
Director of Field Programs
Runs pilots and scale-up with operators on the floor in customer environments.
Jordan Blake
Lead Data Quality
Owns QA gates, provenance documentation, and handoff to training pipelines.
Methodology
How we work
- 01
Scope
Discovery call to align on environments, sensors, behaviors, volume, and acceptance criteria.
- 02
Pilot
Short pilot capture to validate calibration, labeling, and pipeline integration before scale.
- 03
Scale
Production collection with QA checkpoints, diversity targets, and edge-case coverage.
- 04
Handoff
Deliverables in your formats with documentation, provenance, and optional ongoing collection.