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Scale AI

Data labeling and AI data platform (Meta-invested)

coding#data labeling#training data#rlhf#enterprise ai
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Toolglade’s take

Scale AI remains one of the most capable and largest AI data providers, and for enterprise and government customers it offers scale and quality that few competitors match. The essential 2026 context, though, is Meta's roughly $14.3 billion investment for a large minority stake in 2025, after which several competing AI labs reportedly pulled work over neutrality concerns and Scale trimmed revenue guidance. Buyers should factor in that shift, and note that pricing is custom and enterprise-oriented rather than public.

About Scale AI

Scale AI is a data infrastructure company providing labeled training data, RLHF, and evaluation for machine learning and large language models, combining software with a large managed human workforce. In 2025, Meta took a roughly 49% stake for about $14.3 billion, reshaping Scale's client base and strategic position while it continues serving enterprise and government customers.

Scale AI is one of the largest providers of data infrastructure for artificial intelligence. Its core business is producing high-quality labeled training data and human feedback for machine learning models, including annotation for computer vision, autonomous vehicles, and, increasingly, reinforcement learning from human feedback (RLHF) and evaluation for large language models. Scale operates as a vertically integrated platform combining software with a large managed human workforce, and it also offers products for enterprises and government. In June 2025, Meta invested roughly $14.3 billion for a stake reported at around 49%, valuing Scale at over $29 billion. As part of the deal, founder and CEO Alexandr Wang moved to Meta to work on its AI efforts while remaining on Scale's board, and Scale appointed an interim CEO to run the company, which it stated would remain independent. The transaction was a defining event for the data-labeling industry. A notable consequence is that major AI labs that compete with Meta reportedly reduced or ended their reliance on Scale following the deal, prompting Scale to lower revenue expectations and pushing some customers toward alternative providers. Scale continues to serve enterprise and government customers and remains a significant player, but its competitive landscape and neutrality perception shifted materially after Meta's investment. Pricing is enterprise and typically per-task or contract-based rather than public list pricing.

TL;DR

Scale AI is a major AI data infrastructure company providing labeled training data, RLHF, and evaluation, combining software with a large managed workforce. In June 2025, Meta invested about $14.3 billion for a roughly 49% stake at a $29 billion-plus valuation, and its founder joined Meta while Scale stayed independent. Some competing labs reduced use afterward, and Scale trimmed revenue guidance. Pricing is custom and enterprise-oriented.

Company overview

Scale AI is a US-based data infrastructure company founded in 2016 by Alexandr Wang, providing data labeling, RLHF, and AI data services to enterprises, AI labs, and government.

In June 2025, Meta invested roughly $14.3 billion for a stake reported at about 49%, valuing Scale over $29 billion. Alexandr Wang moved to Meta to work on AI while remaining on Scale's board, and Jason Droege was named interim CEO. Scale stated it would continue to operate independently.

Product features

Scale offers large-scale data annotation across text, image, and video, RLHF and human feedback for LLMs, model evaluation and red-teaming, and enterprise and government AI products. It operates a vertically integrated platform pairing software with a managed human workforce accessed via API.

The company monetizes largely per task with contracts often in the six figures, and it serves demanding, high-volume use cases.

Target market

Enterprises, AI labs, and government and defense organizations with large-scale data-labeling, RLHF, and evaluation needs.

Buyer personas

End users

Machine learning engineers and researchers who consume labeled data, RLHF, and evaluations.

Buyers

Heads of AI, ML, or data at enterprises and government agencies with large budgets.

Key influencers

Procurement, security, and, post-Meta-deal, competitive-neutrality stakeholders.

Ideal customer profile

A large enterprise or government AI program needing high-volume, high-quality data services and comfortable with Scale's post-Meta strategic position.

Funding & performance

Scale AI has raised substantial venture funding over the years. The defining recent event is Meta's June 2025 investment of roughly $14.3 billion for a stake reported around 49%, valuing Scale over $29 billion. Scale remains independent, with its founder now also at Meta.

Pros & cons

Pros

  • Large-scale, high-quality data operations
  • Strong RLHF and evaluation capabilities
  • Vertically integrated platform and workforce
  • Serves demanding enterprise and government needs
  • Deep experience across data modalities
  • Well-capitalized following Meta's investment

Cons

  • No self-serve or free tier
  • Custom, enterprise-oriented pricing
  • Meta's stake raised neutrality concerns for some labs
  • Several competing AI labs reportedly reduced use
  • Revenue guidance trimmed after the 2025 deal
  • Overkill for small teams and simple tasks

Pricing plans

Enterprise
Custom quote
  • Large-scale data labeling
  • RLHF and human feedback
  • Model evaluation
  • Managed workforce and API access

Key features

API
Team collaboration
Multi-language
Integrations
REST API, AWS, Google Cloud, Python SDK, Enterprise data platforms
Input types
text, image, video
Output types
text
Best For
Labeling large-scale training data, RLHF and model evaluation, Enterprise and government AI data, Computer vision and autonomous data

Compare key features

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Feature
Scale AI
Muse Code
Claude Code
Pricing
Paid
Paid
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Team support
Yes
No
Yes

Frequently asked questions

Did Meta buy Scale AI?+

Meta did not fully acquire Scale. In June 2025, Meta invested roughly $14.3 billion for a stake reported around 49%, valuing Scale over $29 billion. Scale stated it would remain independent, and its founder moved to Meta while staying on Scale's board.

What does Scale AI do?+

Scale provides labeled training data, RLHF, and evaluation services for machine learning and large language models, combining software with a large managed human workforce, and serves enterprise and government customers.

How did Meta's investment affect Scale's customers?+

Reports indicate that some competing AI labs reduced or ended their use of Scale over neutrality concerns after the deal, and Scale lowered revenue expectations, though it continues serving enterprise and government clients.

Does Scale AI have public pricing?+

No. Scale uses custom enterprise pricing, typically per task or by contract, with no self-serve free tier.

Who is Scale AI best for?+

It is best for enterprises, AI teams, and government programs with large-scale data-labeling, RLHF, and evaluation needs and the budget for enterprise engagements.

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