Scale, founded in 2016 and headquartered in San Francisco, is a technology company that builds data infrastructure underpinning artificial intelligence systems. Its platform spans the full machine learning lifecycle, from data generation and reinforcement learning from human feedback (RLHF) to model evaluation and safety alignment. The company reports having processed over 15 billion human decisions to train AI models, with global payouts to contributors exceeding $1 billion.
The firm's client base includes AI laboratories, government agencies, and Fortune 500 companies. Its core offering, the Data Infrastructure Platform, combines software with operational processes to support the development, deployment, and oversight of AI applications used for critical decision-making.
Scale employs approximately 1,000 people and operates with a stated mission of developing reliable AI systems for high-stakes contexts. The company's technical focus areas span the machine learning lifecycle, including data generation, RLHF, model evaluation, and safety alignment - domains central to the governance and reliability of modern AI.
