Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.

Case Studies

Showing 1 Success Stories about Software and Services used by Snorkel AI

Snorkel AI achieves 20x faster LLM prompting and reliable workflow execution with Prefect Open Source

No matching case studies