Scale, founded in 2016 and headquartered in San Francisco, builds data infrastructure for artificial intelligence systems. The company provides a platform covering the full machine learning lifecycle, including data generation, reinforcement learning from human feedback (RLHF), model evaluation, and safety alignment. Its technology underpins AI development for leading AI labs, government agencies, and Fortune 500 companies.
The company's Data Infrastructure Platform has processed over 15 billion human decisions used to train AI models. Scale has paid out more than $1 billion globally to contributors who help generate and annotate data. The firm employs roughly 1,000 people across its operations.
Scale's technical work spans machine learning, large language models, generative models, and data infrastructure. The company describes its mission as developing reliable AI systems for critical decisions, combining engineering with operational processes to deliver high-quality training data at scale.
