Snorkel AI

Snorkel AI is a data research lab that bridges academic rigor with production-ready AI solutions. Founded by researchers from Stanford AI Lab, the company specializes in programmatic data development, helping organizations build and evaluate AI models and agents through expert-curated datasets and sophisticated evaluation frameworks. Their technology transforms manual AI development processes into programmatic solutions, enabling enterprises to develop AI applications significantly faster using their proprietary data and knowledge. The company operates at the intersection of frontier AI research and enterprise deployment, serving major organizations including top US banks, government agencies, and Fortune 500 companies such as Google, Intel, and Apple. Snorkel AI's approach combines programmatic automation with calibrated expert-in-the-loop processes, utilizing rubrics, verifiers, and review loops to curate high-quality datasets. With over 100 peer-reviewed publications in foundation models and data-centric AI, their team of applied AI researchers and data scientists from Stanford, MIT, and UC Berkeley delivers solutions that can be audited, reproduced, and built upon. Based in Palo Alto and backed by renowned investors, Snorkel AI offers comprehensive AI data development services, from dataset curation and realistic simulations to rubric design and evaluations. Their platform addresses the full AI data loop, helping organizations overcome challenges like hallucination, edge cases, and evaluation reproducibility that commonly stall AI initiatives in production environments.