Seven services, one pipeline. Teleoperation, demonstration, sensor capture, annotation, synthetic, evaluation, and long-tail capture — built and run on your behalf.
Most foundation-model teams use four or more. We scope per service or as a bundle.
VR, exo, and bilateral leader-follower rigs. Sub-10ms latency, 30Hz joint logging.
Egocentric video, hand pose, gaze tracking, and force gloves for VLA pre-training.
Synchronized RGB-D, lidar, IMU, tactile, and audio. Microsecond alignment.
Action segmentation, affordance masks, language captions, reward signals.
Isaac and MuJoCo scene generation, domain randomization, and sim-to-real bridging.
Held-out test sets, scenario libraries, and scoring infrastructure for model release.
Targeted collection for failure modes identified from your production model logs.
The services chain naturally. You can use one or all seven, and each output feeds the next stage.
Teleop, demonstration, and sensor capture produce the raw trajectories, video, and sensor streams.
Synthetic and sim-to-real expand the captured set with controlled randomization and rare-event coverage.
Annotation adds the structure your model needs: actions, affordances, language, reward.
Eval benchmarks score your trained model. Long-tail capture closes the loop with targeted re-collection.
FAQ
Roborax runs outsourced data collection programs for teams building embodied AI. We deploy trained operators, manage the hardware, run the capture sessions, and deliver structured datasets — so your ML team spends time training models, not managing fieldwork.
Labeling marketplaces annotate data you already have. We capture data that does not exist yet — teleoperation episodes, human demonstrations, sensor streams — across the platforms your robot actually runs on. We are an operational partner, not a crowdsourced annotation tool.
Most programs start with a scoping call, a written SOW within five business days, and a first batch delivered within two weeks of sign-off. We then run in sprints — weekly or fortnightly batches — with a dedicated program manager keeping you updated throughout.
For standard platforms we can mobilize a dedicated team within two weeks of SOW signature. Crowdsourced programs can begin within days. Novel or highly specialized hardware takes longer to onboard — typically three to four weeks for operator training and calibration.
Your data belongs to you. We do not retain, license, or reuse client data for any other purpose. All raw files and derivatives are transferred to you at program close, and our copies are deleted on a schedule you specify.
Pricing depends on delivery model, platform, and volume. Dedicated teams are priced per FTE-month. Crowdsourced programs are priced per validated trajectory or annotation hour. We provide a fixed-price SOW before any work begins — no surprises.
One SOW. One pipeline. One dashboard across every service you choose.