programmatic-labeling
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Henry Ehrenberg
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
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.
Snorkel AI
Snorkel AI is a Redwood City-based enterprise AI company spun out of the Stanford AI Lab in 2019. Its Data Development Platform lets enterprises programmatically label, curate, and evaluate the training and evaluation data that powers custom LLMs, RAG systems, and AI agents - turning expensive manual annotation into a software-engineering discipline.
Alexander Ratner
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.