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Scale

Scale builds data infrastructure and full-stack ML platform technology covering RLHF, data generation, model evaluation and safety alignment for AI labs and enterprises.

Scale is an AI data infrastructure company founded in 2016 and headquartered in San Francisco. It builds the data infrastructure and full-stack technologies behind leading AI systems, helping teams manage the entire machine learning lifecycle. Technical work spans data infrastructure, machine learning lifecycle management, RLHF, data generation, model evaluation, safety alignment, and the training of large language models and other generative models.

The company's platform combines technology with operations to handle AI/ML training data at scale. It has processed more than 15 billion human decisions used to train AI models, and has paid out $1 billion to a global contributor network. Its customers include AI labs, government agencies and Fortune 500 companies.

Scale employs 1,000 people, having grown from a small startup. The company describes itself as mission-driven, focused on developing reliable AI systems for critical decisions, with an emphasis on operational excellence alongside cutting-edge technology and a quality-focused view of the data underlying model performance.

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