Scale, founded in 2016, builds data infrastructure that powers AI systems. The company provides high-quality data and full-stack technologies for building, deploying, and overseeing AI applications. Its work spans the machine learning lifecycle, including data generation, RLHF (reinforcement learning from human feedback), model evaluation, and safety alignment for large language models and generative models.
The company's Data Infrastructure Platform has processed over 15 billion human decisions and facilitated over $1 billion in payouts to data contributors globally. Scale serves clients including AI labs, government agencies, and Fortune 500 companies. Its San Francisco-based team of approximately 1,000 people works across technical domains such as AI system oversight and safety alignment.
Scale focuses on developing reliable AI systems intended for critical decision-making contexts. The company's operations centre on the principle that better data leads to better AI outcomes.
