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.

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).