Scale AI
AI data labeling and evaluation
About Scale AI
Scale AI provides the data labeling, evaluation, and AI testing infrastructure that powers machine learning development. Founded in 2016 by Alexandr Wang (who became the youngest self-made billionaire at 25), Scale has evolved from a data annotation service into a comprehensive AI data platform serving the U.S. Department of Defense, OpenAI, Meta, Microsoft, and other major AI developers.
Scale's core insight is that AI model quality is fundamentally bounded by data quality. The company provides human-in-the-loop data labeling at massive scale, AI model evaluation and red-teaming services, and synthetic data generation. Scale's government division is a significant growth driver, providing AI readiness and data services to the U.S. military.
Products & Services
Scale Data Engine
Enterprise data labeling platform for training AI models. Supports image, video, text, lidar, and sensor data annotation.
PlatformScale GenAI Platform
Evaluation and fine-tuning tools for large language models. Used by OpenAI, Meta, and others to test model quality.
PlatformScale Donovan
AI decision-making platform for defense and national security applications.
GovernmentLeadership
Notable Achievements
- ✓ Youngest self-made billionaire founder in tech history
- ✓ Primary data provider for OpenAI, Meta, and U.S. military
- ✓ Valued at $13.8B — one of the most valuable AI infrastructure companies
- ✓ Scale Donovan is used by the Department of Defense for AI readiness
Competitive Landscape
Companies competing in the same space as Scale AI.
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