Snorkel AI

Snorkel AI provides a data-centric AI platform that enables enterprises to build and deploy AI applications by programmatically labeling and managing training data. The company's approach, based on research from the Stanford AI Lab, uses labeling functions, weak supervision, and foundation model-assisted techniques to create high-quality training datasets without the cost and time of manual annotation.

Snorkel's platform allows domain experts to express their knowledge as programmatic rules, which are then combined using statistical techniques to generate labels for large datasets. This approach is particularly valuable in enterprise settings where data is abundant but labels are scarce, expensive, or require specialized expertise.

The company serves major enterprises and government agencies including banks, healthcare organizations, and defense contractors. Snorkel AI has raised over $135 million in funding and has been adopted by organizations that need to rapidly build and iterate on AI models for specialized domains where pre-trained models fall short.