Scale AI profile: a physical AI data engine for robotics

Contents

1. What Scale AI does for robotics teams
2. Published evidence
3. Strengths and limits
4. Pricing
5. Questions to ask Scale AI
6. Sources

Type	Data engine
Headquarters	San Francisco, US
Pricing	Not published
Website	scale.com

Scale AI’s physical AI data engine gathers real-world demonstration data from robotics data factories, distributed collectors and operating businesses, and reports that more than 1,000 hours of demonstration data reach its platform every day⁠1Physical AI data engineScale AI.

Best for: Large robot-learning programs that need demonstration data at volume, with annotation and enterprise security attached.

Not the right fit for: A small team that wants a dedicated operator group on one robot, or prices up front.

What Scale AI does for robotics teams

Its collection platforms include tele-operated bimanual manipulators, a robotless egocentric rig for dexterous collection and a bespoke option described as “your hardware, managed and operated by Scale”. Collection happens in centralised data factories, in homes through distributed collectors and in commercial and industrial sites. Datasets carry grounding annotations and pass through Scale’s own policy fine-tuning and evaluation before listing⁠1Physical AI data engineScale AI.

Collection cells are developed and validated in a San Francisco lab before deployment to partners. Engagements are supported by a dedicated engineering and operations team, with in-house roboticists writing the data specification. Scale names Generalist and Physical Intelligence among the labs its platform supports, and states SOC 2 Type II and ISO 27001 certification with optional onshore data processing⁠1Physical AI data engineScale AI.

Published evidence

No manufacturing case studies are published.

The page quotes customer testimonials but reports no measured result for a named program.

Strengths and limits

Strengths

• The largest reported collection volume in this guide, across many embodiments and environments.
• Annotation and grounding come from the same vendor as the collection.
• Certified security (SOC 2 Type II, ISO 27001) with optional onshore data processing.

Limits

• No prices are published.
• Delivery formats are not named on the page.
• Built for data programs; ongoing takeover coverage of a deployed fleet is not described.

Choose another option if: You need a small, steady operator team on your robot, or a published price before a sales call.

Pricing

Not published.

Questions to ask Scale AI

• What is the smallest program you take on, and what does it cost?
• In which formats are datasets delivered?
• Under the bespoke option, who operates our hardware and where?
• Are datasets collected for us exclusive to us?

See how Scale AI compares with the other providers in the main guide.

Sources

1. Physical AI data engine. Scale AI. Accessed 8 Nov 2026.

Further reading

• Buyer's guide · Updated quarterlyThe best teleoperation companies in 2026An analysis of nine companies that operate robots remotely or collect robot training data, compared on seven criteria, with the evidence behind each one and the established path to a first dataset.
• Guide · The marketWhat teleoperation companies do, and which kind you needOne word covers four different businesses. This guide separates them, explains the two jobs they do and shows what each kind hands back at the end of a shift.
• Guide · Choosing a partnerHow to choose a teleoperation partner for your robotsThe differences between providers show up after the contract: who trains the operators, who owns the data and what the files look like. Here is how to surface them first.