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Data services

Every modality your robot needs

Seven services, one pipeline. Teleoperation, demonstration, sensor capture, annotation, synthetic, evaluation, and long-tail capture — built and run on your behalf.

7
Services
28+
Modalities supported
1
Unified pipeline
Seven services

Pick one. Run them all. Or anywhere in between.

Most foundation-model teams use four or more. We scope per service or as a bundle.

Teleoperation

VR, exo, and bilateral leader-follower rigs. Sub-10ms latency, 30Hz joint logging.

Human demonstration

Egocentric video, hand pose, gaze tracking, and force gloves for VLA pre-training.

Multimodal sensor capture

Synchronized RGB-D, lidar, IMU, tactile, and audio. Microsecond alignment.

Annotation and labeling

Action segmentation, affordance masks, language captions, reward signals.

Synthetic and sim-to-real

Isaac and MuJoCo scene generation, domain randomization, and sim-to-real bridging.

Evaluation benchmarks

Held-out test sets, scenario libraries, and scoring infrastructure for model release.

Long-tail and edge-case capture

Targeted collection for failure modes identified from your production model logs.

How they chain

A pipeline, not a menu

The services chain naturally. You can use one or all seven, and each output feeds the next stage.

1Stage 1

Capture

Teleop, demonstration, and sensor capture produce the raw trajectories, video, and sensor streams.

2Stage 2

Augment

Synthetic and sim-to-real expand the captured set with controlled randomization and rare-event coverage.

3Stage 3

Label

Annotation adds the structure your model needs: actions, affordances, language, reward.

4Stage 4

Evaluate

Eval benchmarks score your trained model. Long-tail capture closes the loop with targeted re-collection.

What our partners say
We started with teleop. By month three we were running teleop, sensor capture, and annotation in a single SOW. The pipeline savings paid back the whole program.
Priya Iyengar
VP Data, Strand Robotics

FAQ

Everything buyers ask about Roborax data services

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.

Tell us which services your program needs

One SOW. One pipeline. One dashboard across every service you choose.