Scale is a San Francisco-based AI infrastructure company founded in 2016. Its platform provides the data and tooling that organisations need to build, deploy, and oversee AI applications - covering reinforcement learning from human feedback (RLHF), data generation, model evaluation, and safety alignment for large language models and generative systems. To date, the platform has processed over 15 billion human decisions and paid out $1 billion to contributors worldwide.
The company offers full-stack technologies designed to support the entire machine learning lifecycle, combining human-in-the-loop data pipelines with model evaluation and safety infrastructure. Its customers span AI research laboratories, government agencies, and Fortune 500 companies.
Scale has grown from a small startup to a team of approximately 1,000 people. Its technical scope includes:
- Data infrastructure for AI training and evaluation
- RLHF and safety alignment pipelines
- Machine learning lifecycle management
- Large language model and generative model support
The company maintains a globally distributed contributor network and positions operational excellence alongside technical capability as central to its approach to reliable AI development.