Snorkel AI

Today I'm excited to announce Snorkel AI's launch out of stealth! Snorkel AI, which spun out of the Stanford AI Lab in 2019, was founded on two simple premises: first, that the labeled training data machine learning models learn from is increasingly what determines the success or failure of AI applications. And second, that we can do much better than labeling this data entirely by hand. At the Stanford AI lab, the Snorkel AI founding team spent over four years developing new programmatic approaches to labeling, augmenting, structuring, and managing this training data. We were fortunate to develop and deploy early versions of our technology with some of the world's leading organizations like Google, Intel, Apple, Stanford Medicine, resulting in over thirty-six peer-reviewed publications on our findings; innovations in weak supervision modeling, data augmentation, multi-task learning, and more; inclusion in university computer science curriculums; and deployments in popular products and systems that you've likely interacted with in the last few hours.