Snorkel AI, founded by a team of researchers from Stanford University AI Lab, has developed a data-centric AI platform called Snorkel Flow. Unlike traditional AI methods, Snorkel Flow uses a programmatic labeling approach that allows users to label large amounts of training data programmatically. This platform has been used by notable companies such as Google, Apple, Intel, and others in various industries including banking, government, healthcare, insurance, and telecom. Snorkel AI has successfully raised funding, with its most recent round led by BlackRock and Addition Ventures, valuing the company at $1 billion. The Snorkel Python library provided by Snorkel AI enables users to label training data, perform data augmentation, and monitor data subsets. Snorkel Flow aims to reduce the time, cost, and friction of labeling training data, empowering data scientists and developers to build and scale AI models more easily and deploy meaningful applications.