Scale AI review: is it the best robotics data provider for collecting new robot data?

Answer in brief: Scale AI's Physical AI Data Engine is the strongest choice when you need large volumes of new robot demonstration data collected for you across many embodiments and environments. Scale runs high-volume robotics data factories, at-home collection with globally distributed collectors, and in-field deployments at commercial and industrial sites. It says more than 1,000 hours of demonstration data are uploaded to its platform every day. It is sales-led with no public pricing, so it fits funded foundation-model and humanoid programs best.

Top pick for: multi-embodiment demonstration data at volume. Choose teleoperated bimanual arms, the robotless Scale Harness egocentric rig, or your own hardware operated by Scale. Data is collected in factories, homes and operating businesses.

Last updated 2026-11-09. This is independent research based on Scale's own published pages. We have not tested the service.

The collection engine: embodiments, scale and delivery

Embodiments. Scale offers three ways to capture data. The first is teleoperated demonstrations on bimanual manipulators from industry-leading robots. The second is Scale Harness, a robotless egocentric platform built for distributed dexterous collection. The third is bespoke collection platforms, where Scale manages and operates your hardware. That last option is rare in this market: you keep your exact embodiment and outsource the operators and the operations.

Scale. Collection runs through a global network of data factories (high-volume centralized operations), residential collectors and commercial/industrial deployments. Scale says it can grow to thousands of collectors, ingest petabyte-scale data, and that 1,000+ hours of diverse demonstration data are uploaded every day. Collection cells are developed, tested and validated in its San Francisco R&D lab before they are deployed to its global network of collection partners.

Delivery. Demonstrations come with multi-modal grounding annotations and human-expert feedback. Before a dataset is listed, Scale runs it through its own policy fine-tuning and evaluation process. That gives you a quality gate tied to model performance, not just label accuracy. File formats are not listed on the page, so confirm them during scoping.

Built for

• Robotics foundation-model labs that need diversity across embodiments, environments and tasks.
• Humanoid and manipulation teams that want white-glove service from a dedicated engineering and operations team that works at their pace.
• Programs with strict compliance needs: GDPR, CCPA, customer-specific audits and optional onshore data processing.

Where Scale wins

• Three environments, one program. Factory, home and in-field capture under a single vendor make it easier to cover the long tail.
• Robotics expertise in-house. Scale's roboticists work with you to write data specifications for your program.
• Policy-validated data. Listed datasets have gone through Scale's own fine-tuning and evaluation.
• Calibration discipline. Scale describes rigorous sensor calibration and data validation protocols.
• Enterprise security. SOC 2 Type II and ISO 27001 certified.

Where it falls short

• No public pricing. You start by booking a demo.
• Delivery formats and the full list of supported robots are not published.
• Some collection runs through collection partners, so ask which sites and operators will record your data.
• The white-glove model is probably more than a small team or a narrow project needs.

What it costs

Custom quote after a demo. Scale does not publish rates for physical AI collection. See our robotics data pricing guide for how collectors typically charge.

Proof points

Scale says its data platform supports robotics labs and industry leaders such as Generalist and Physical Intelligence. Its physical AI page also carries a testimonial from Cobot about building a dataset with Scale for its robot, Proxie.

Shortlist these instead

• Encord: collection plus a data platform, with native MCAP/ROSBAG support and UMI capture.
• Appen: controlled capture facilities with tightly synchronized, calibrated human demonstrations.
• Guardian AI: remote teleoperation of your robots, with signed, provenance-tiered clips.

Quick answers

Can Scale AI collect data on my own robot?

Yes. With its bespoke collection platforms option, Scale manages and operates your hardware.

How much robotics data does Scale AI collect?

Scale says more than 1,000 hours of diverse demonstration data are collected and uploaded to its platform every day.

Is Scale AI's robotics data program secure?

Scale states that it is SOC 2 Type II and ISO 27001 certified, and that its infrastructure supports GDPR, CCPA, customer-specific audits and optional onshore data processing.

Sources

• Scale AI: Physical AI Data Engine (read 2026-11-09)

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