How we work
Operant runs custom real-world data collection for robotics and physical AI teams. We capture teleoperation, multi-sensor, and edge-case data in your environments, annotate it to your label schema with documented QA, and deliver it in your formats. Every program moves through three stages: scope, pilot, and scale, with provenance you can audit.
What we do
Teleoperation, human demonstrations, and on-robot logging on your hardware, in the environments your models will actually face. Synchronized multi-camera, RGB-D, LiDAR, IMU, force, and proprioceptive streams, including the rare failures and recoveries that decide real-world performance.
We define the label schema during scoping, then annotate episodes with documented QA: spot checks, inter-annotator review, and acceptance criteria agreed up front. Labels and rich metadata integrate with your existing tooling, no rip-and-replace.
Run it as ongoing infrastructure or a single targeted capture, your call. Either way you get versioned capture configs, recurring QA samples, diversity targets, and auditable provenance, whether that's a repeatable pipeline or a focused one-off dataset.
The program
Discovery
A discovery call to lock environments, sensors, target behaviors, volume, and acceptance criteria, plus the commercial framework.
→Capture spec + acceptance criteria
Validation
A short pilot capture to validate calibration, labeling, and pipeline integration before anyone commits to production volume.
→Calibrated rig + sample dataset
Production
Production collection with QA checkpoints, diversity targets, deliberate edge-case coverage, and deliverables in your formats with documentation and provenance.
→QA-gated collection + documented delivery
What you get
Start a program
Book a discovery call and we'll scope sensors, environments, volumes, and timelines, then map a pilot you can validate in weeks.
Tell us about your robot, sensors, and data goals. We'll reply within one business day.
