Scale AI
Data platform for AI, providing high-quality training data, model evaluation, and RLHF infrastructure for the world's leading AI labs. Scale AI's data engine powers frontier models from OpenAI, Meta, and government agencies. Also offers enterprise generative AI deployment and has become a critical supply-chain partner for the entire foundation model ecosystem.
Overview
Scale AI has evolved from a data labeling company into the critical infrastructure layer for AI development, providing high-quality training data, evaluation frameworks, and deployment tools used by the world's leading AI companies and government agencies. Founded by Alexandr Wang when he was just 19 years old, Scale's platform combines human expertise with AI-assisted tooling to produce the labeled datasets that power foundation models from OpenAI, Meta, Google, and the US Department of Defense. The company has expanded well beyond labeling into AI evaluation and testing through Scale Evaluation, which helps organizations benchmark and red-team their models. Scale's government business has grown substantially, with the company holding contracts across multiple defense and intelligence agencies. With enterprise offerings like Scale GenAI Platform for fine-tuning and deploying custom models, Scale is positioning itself as an essential partner for any organization building or deploying AI at scale.
Funding History
AI data platform expands into government and enterprise.
Data labeling and AI infrastructure company expands into RLHF and evaluation.
Scale AI doubles valuation as demand for AI training data surges across defense and enterprise sectors.
Tiger Global leads round as Scale AI expands beyond data labeling into AI platform services.
Frequently Asked Questions
- How much has Scale AI raised in total?
- Scale AI has raised a total of $1.8B across 4 funding rounds.
- Who are Scale AI's investors?
- Scale AI's investors include Accel, Index Ventures, Tiger Global, Y Combinator, Undisclosed.
- What does Scale AI do?
- Scale AI has evolved from a data labeling company into the critical infrastructure layer for AI development, providing high-quality training data, evaluation frameworks, and deployment tools used by the world's leading AI companies and government agencies. Founded by Alexandr Wang when he was just 19 years old, Scale's platform combines human expertise with AI-assisted tooling to produce the labeled datasets that power foundation models from OpenAI, Meta, Google, and the US Department of Defense. The company has expanded well beyond labeling into AI evaluation and testing through Scale Evaluation, which helps organizations benchmark and red-team their models. Scale's government business has grown substantially, with the company holding contracts across multiple defense and intelligence agencies. With enterprise offerings like Scale GenAI Platform for fine-tuning and deploying custom models, Scale is positioning itself as an essential partner for any organization building or deploying AI at scale.
- When was Scale AI founded?
- Scale AI was founded in 2016 and is headquartered in San Francisco, CA.
- Where is Scale AI headquartered?
- Scale AI is headquartered in San Francisco, CA.
Investors
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