How to choose a robotics data provider that collects new data for you
Last updated: 2026-11-09 · Independent research from providers' own public pages. We did not test these services.
Answer in brief: Start from the embodiment your model must control. Then choose a collection mode: robot teleoperation, operators on your robot, robot-analogous UMI grippers, or egocentric human video. Next, check the provider's stated scale and delivery formats against your training stack, demand provenance evidence, and buy a paid pilot with written acceptance criteria. For broad multi-embodiment volume, shortlist Scale AI. For your-robot collection with a platform built in, shortlist Encord. For calibrated human demonstrations, shortlist Appen. For remote teleop plus signed provenance, shortlist Guardian AI.
Top pick if you can only call one vendor: Scale AI. Data factories, homes and in-field sites; bimanual teleop, the Scale Harness, or your hardware operated by Scale.
Step 1: Name the embodiment first
Policies learn best from data that matches the body they will drive. Encord makes the point directly: operators running tasks on your robot minimize the need for cross-embodiment transfer. If you are fine-tuning for one robot, prioritize vendors that collect on your hardware: Scale (bespoke platforms), Encord (embodiment-specific mode) or Guardian AI (remote teleop). For broad pre-training, diverse embodiments and human demonstrations become more valuable.
Step 2: Pick the collection mode
| Mode | What you get | Who offers it (per their sites) |
|---|---|---|
| Teleop on provider robots | Robot joint and action data on standard arms | Scale AI (bimanual manipulators), Encord (leader/follower arms) |
| Operators on your robot | Data from your exact deployment embodiment | Scale AI, Encord (on-site or lab), Guardian AI (remote, robot stays with you) |
| UMI / handheld grippers | Robot-analogous manipulation without a robot | Encord (standard, multi-finger, client grippers) |
| Calibrated human demos | Egocentric stereo plus wrist pose and gripper state | Appen, Scale Harness, micro1 (expert demonstrators) |
| Scaled egocentric video | Large, diverse first-person footage with enrichment | Claru, Toloka (self-serve), Shaip, Guardian AI |
| Robot deployment lab | Robots deployed, evaluated and recorded in controlled sets | micro1 (data factory), Encord (Bay Area pods) |
Step 3: Pressure-test the scale claims
Published figures measure different things, so compare like with like. Scale AI reports 1,000+ demonstration hours uploaded per day. Encord cites thousands of in-field operators. Appen cites 1M+ contributors in 170+ countries, Toloka 200,000+ contributors, Claru 34,000+ and Shaip 30K+ collectors in 50 cities. Contributor counts are not hours. Ask each vendor for finished, QA-passed hours per week on your task.
Step 4: Lock down delivery
- Formats: Guardian AI lists LeRobot, RLDS, HDF5 and MCAP. Encord supports MCAP and ROSBAG natively and loads data straight into its platform.
- Sync and calibration: Appen ships sub-millisecond alignment metadata and intrinsic/extrinsic calibration.
- Action signal: ask for 3D hand pose, 6-DoF camera trajectory, gripper state, and success, failure and recovery labels.
- Cadence: Guardian publishes weekly batches with QA reports. Scale runs datasets through internal policy fine-tuning before listing.
Step 5: Demand provenance and rights
Ask for contributor-level consent, site permissions and duplicate or synthetic screening. Guardian AI's P0–P3 tiers are the most detailed published framework. Appen documents participant consent and on-site data handling. Defined.ai lists ISO 27001/27701 and ISO 42001.
Step 6: Buy a pilot, not a promise
Guardian AI publishes a minimum of 20 finished hours per week, with written success criteria. Shaip and Encord pilot before scaling. Toloka lets you self-serve a small egocentric batch with no minimums: its HomER dataset took 3 hours and cost $50.
Shortlist by situation
- Foundation-model lab, many embodiments: Scale AI.
- One robot plus a labeling platform: Encord.
- Humanoid pre-training from human demos: Appen.
- Robots can't leave your site; legal wants proof: Guardian AI.
- Skilled-trade demonstrations: micro1.
- World models, huge video volume: Claru.
- Fast self-serve egocentric data: Toloka.
- Managed, pilot-gated capture plus safety labels: Shaip.
- Buy first, then commission: Defined.ai.
Already have data and only need labels? See bestaitrainingdataproviders.com. Shopping for ready-made datasets? See bestaidatasets.com.
FAQ
Should I start with teleoperation or egocentric data?
Choose teleoperation, or operators on your robot, when you are fine-tuning a policy for a specific embodiment. Egocentric human video is cheaper to scale and suits pre-training and world models, provided it carries action signal such as hand pose and camera trajectory.
How big should a pilot be?
Big enough to test your acceptance criteria. Guardian AI's published pilot minimum is 20 finished hours per week, and Toloka allows small self-serve batches.
What should a collection contract include?
Finished-hour definitions, delivery formats, sync and calibration files, provenance level, consent and commercial training rights, QA reporting, and recollection terms for data that fails your criteria.
Next steps
See the ranked list of robotics data providers · Scale AI vs Encord · Alternatives to Scale AI · Pricing guide · Methodology
Reviews: Scale AI · Encord · Appen · Guardian AI · micro1 · Claru · Toloka · Shaip · Defined.ai
Sources
- scale.com/physical-ai
- encord.com/data-collection
- appen.com/physical-ai
- useguardian.ai
- micro1.ai/robotics
- claru.ai
- toloka.ai/egocentric-video
- shaip.com
- defined.ai/use-cases/robotics-ai
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