
A onetime writing instructor and professionally trained baker became a translator for increasingly complicated technology. At Snorkel AI, Tammy Le is still working the same problem: how to make a difficult product clear without sanding away what makes it true.
Henry Ehrenberg is Co-Founder and Head of Engineering at Snorkel AI, the data-centric AI company he helped build out of Stanford's AI Lab in 2019. With a background in applied mathematics (Yale) and computational engineering (Stanford), Ehrenberg co-developed the Snorkel system — a paradigm-shifting framework for training machine learning models using programmatic weak supervision rather than hand-labeled data. Snorkel AI has raised $338M total, including a $100M Series D in May 2025 at a $1.3B valuation, and counts five of the top ten US banks, Fortune 500 companies, and leading research labs like Google, OpenAI, and Anthropic among its clients.
Paroma Varma is a co-founder and Head of Solutions at Snorkel AI, the $1.3B data-centric AI platform she helped build from a Stanford AI Lab research project into a unicorn serving Fortune 500 enterprises. Holding a Ph.D. in Electrical Engineering from Stanford, she pioneered weak supervision techniques that reduce AI training data preparation from months to days, enabling domain experts in healthcare, finance, and government to build state-of-the-art ML models without massive labeled datasets.

Alexander Ratner is the co-founder and CEO of Snorkel AI, the company he spun out of Stanford's AI lab in 2019 after building the Snorkel open-source project during his PhD. A Harvard physics graduate turned Stanford computer scientist, Ratner pioneered the field of data-centric AI and weak supervision - the idea that better data, not just better models, is the key unlock for enterprise AI. Under his leadership, Snorkel AI reached a $1.3 billion valuation in 2025 following a $100 million Series D, with $148M in annual revenue and customers including some of the world's largest enterprises and LLM developers.