Scale AI is a technology company focused on accelerating the development of artificial intelligence (AI) applications by providing a comprehensive platform for generating high-quality datasets, testing and evaluating models, and deploying task-specific AI solutions. Serving both the private and public sectors, Scale AI aims to increase the operational feasibility of AI systems across fields such as defense, automotive, media, and finance.

General Information

Founded in 2016 and headquartered in San Francisco, Scale AI’s core business involves accurately labeling large datasets, training AI models with this data, and evaluating those models in operational settings. The company has built an infrastructure that supports both human-in-the-loop and automated solutions for machine learning (ML) data needs. As of 2025, Scale AI employs over 900 people and has completed more than 13 billion data annotations.

Platforms and Technology

Scale AI offers three main platforms:

• Scale Data Engine: Focuses on the curation (selection and structuring) of data for natural language processing (NLP), computer vision, and 3D sensor fusion.
• Scale GenAI Platform: Provides infrastructure for the training, fine-tuning, evaluation, and deployment of large language models (LLMs).
• Scale Donovan: A system designed for the customization, testing, and deployment of task-specific AI agents. This platform supports integration with both open-source and proprietary models and features a flexible, container-based architecture.

Research and Safety

Through its Safety, Evaluations, and Alignment Lab (SEAL), Scale AI researches model safety, evaluation, and alignment. The lab has developed evaluation sets such as MASK (Measuring Accuracy Separately from Knowledge), CFPD (Critical Foreign Policy Decisions), MultiChallenge, and ToolComp, which assess risks like misinformation, bias, privacy leakage, and unqualified recommendations. Red teaming practices are used to test model vulnerabilities, and systems are refined using reinforcement learning with human feedback (RLHF). Scale AI complies with various international security standards, including FedRAMP High, SOC 2 Type II, and ISO 27001.

Public Sector and Defense Collaborations

Scale AI maintains strategic partnerships with the U.S. government and defense entities, including the Department of Defense (DoD), the U.S. Army, the U.S. Air Force, and the Defense Innovation Unit (DIU). The Donovan platform enables rapid deployment of task-specific AI agents across networks with different security classifications (unclassified, CUI, classified) using a Kubernetes-based architecture.

Clients and Partnerships

The company collaborates with leading model developers such as OpenAI, Meta, Microsoft, Cohere, Adept, and Anthropic. Enterprise customers include TIME magazine, Harvard Medical School, Nuro, Cisco, GM, SAP, DLA Piper, Cengage, and Flexport, spanning various industries.

In the TIME AI project, generative AI was applied to deliver interactive journalism, incorporating multilingual content and secure conversational interfaces. In partnership with Cohere, Scale AI generated high-quality prompt-response pairs for Command, a language model optimized for instruction following. Across such projects, Scale AI contributes to data production, RLHF, model alignment, and safety evaluations.

Scale AI provides an integrated platform for data-driven AI development, combining capabilities in evaluation, security, and deployment. Through open-source tools, advanced security protocols, and domain expertise, the company supports the advancement of both task-specific and generative AI systems across public and private sectors.