Scale AI

Scale AI provides the data engine, evaluation, and enterprise platforms that power frontier AI, combining high-quality human-labeled data, RLHF, and model evaluation with applied GenAI systems for enterprise and government.

Founded in 2016 by Alexandr Wang and Lucy Guo through Y Combinator, Scale AI is a San Francisco-based AI infrastructure and software company that operates across the AI stack, from the data that trains models to the systems that deploy them, with humans kept in the loop. Its core offerings are organized into three areas: the Scale Data Engine, which sources and annotates high-quality training data, performs reinforcement learning from human feedback (RLHF), and supplies expert-curated datasets used by the majority of leading generative AI model builders; Scale Evaluation, which benchmarks and red-teams frontier models; and applied products including the Scale GenAI Platform, which turns proprietary enterprise data into customized RAG and fine-tuned GenAI applications, and Scale Donovan, a public-sector and defense platform for secure, auditable, operator-in-the-loop mission workflows. Scale also operates labeling subsidiaries Remotasks and Outlier. In June 2025, Meta invested over $14 billion for a 49% stake valuing Scale at roughly $29 billion, with founder Alexandr Wang departing for Meta and Jason Droege becoming CEO. The company serves customers including OpenAI, Microsoft, Meta, Morgan Stanley, Toyota, and U.S. government agencies such as the Department of Defense and the U.S. Army.

Category

Data & Analytics

Pricing

Usage-based, Contact for pricing

Target Market

AI Research Labs, CTOs, Data Scientists, ML Engineers, Enterprise AI Teams, Government and Defense Agencies

Founded

2016

Headquarters

San Francisco, United States

Customers

Trusted by leading AI labs, enterprises, and government agencies including OpenAI, Microsoft, Meta, Morgan Stanley, Toyota, and the U.S. Department of Defense

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  Scale Data Engine

  End-to-end data collection, curation, and annotation across text, image, video, and 3D, with contributors sourced for quality (25% hold advanced degrees).

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  RLHF and Expert Data

  Reinforcement learning from human feedback and domain-expert data curation to fine-tune and align large language models.

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  Scale Evaluation

  Automated and human-in-the-loop benchmarking, model comparison, and red-teaming to identify weaknesses, risks, and vulnerabilities.

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  Scale GenAI Platform

  Enterprise platform to build customized RAG pipelines and fine-tuned LLM applications on proprietary data with open or closed foundation models.

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  Scale Donovan

  Public-sector and defense platform for secure, auditable, operator-in-the-loop AI mission workflows meeting government security controls.

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  Self-Serve Data Engine

  Pay-as-you-go data annotation and management with the first 1,000 labeling units and 10,000 images at no cost.

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  Training data for frontier models

  Generative AI labs use Scale's curated, human-labeled data and RLHF to train and align large language models.

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  Enterprise GenAI deployment

  Enterprises transform proprietary data into customized, production-ready RAG and fine-tuned GenAI applications.

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  Government and defense intelligence

  Public-sector agencies turn classified and complex data into actionable, auditable intelligence via Scale Donovan.

Enterprise engagements use custom pricing based on data volume, quality requirements, and SLAs. A self-serve, pay-as-you-go Data Engine offers a limited free starting allowance (first 1,000 labeling units and first 10,000 images at no cost).

This page was written from 8 sources, 5 on domains other than scale.com.

1. 1.scale.com — scale.comvendor
2. 2.en.wikipedia.org — Scale AI
3. 3.scale.com — pricingvendor
4. 4.research.contrary.com — scale
5. 5.fortune.com — scale ai funding valuation ceo alexandr wang profitability
6. 6.scale.com — scale ai announces next phase of company evolutionvendor
7. 7.intelcapital.com — scale ai raises 1 billion series f to push the frontier of a
8. 8.tsginvest.com — scale ai