Scale builds the data infrastructure and lifecycle technologies that enable organisations to train, deploy, evaluate, and govern AI systems at scale. Founded in San Francisco in 2016, the company has grown to 1,000 people and operates globally, processing over 15 billion human decisions to train advanced language models and generative AI systems whilst distributing $1 billion in payouts to contributors worldwide.
The company's full-stack platform combines reinforcement learning from human feedback, data generation, model evaluation, and safety alignment capabilities - the essential components for developing reliable AI systems. This infrastructure serves a demanding clientele: AI research labs, government agencies, Fortune 500 enterprises, and leading organisations building large language models and generative AI applications. Scale's work underpins some of the most consequential AI systems in development today.
Scale distinguishes itself through the combination of cutting-edge technology with operational rigour. The company's approach reflects a fundamental conviction: better data produces better AI. This principle guides both its platform development and the operational excellence that enables it to manage the full machine learning lifecycle for organisations navigating the complexities of modern AI deployment and governance.
