San Francisco – September 22, 2026 -- Snorkel AI has raised $350 million at a $3.5 billion valuation to expand its agentic data factory, which supplies training and evaluation data behind frontier AI lab systems.
Insight Partners and S32 co-lead funding round with multiple new backers
The round was co-led by Insight Partners and S32, with significant participation from existing investor Addition. New investors include March Capital, Blumberg Capital, Allegis Capital, Frontline, Standard, and Third Point Ventures, alongside existing backers Greylock, Lightspeed, GV, Factory, Prosperity7, Walden Catalyst, and Wells Fargo.
Company positions itself for shift from simple labeling to complex agentic data tasks
Snorkel frames the raise as arriving amid a shift from what it calls Data 1.0 — simple labeling tasks solved by headcount — to Data 2.0, where frontier and agentic systems require expert agentic tasks, environments, and rubrics that can take qualified humans hours or days to construct. The company launched its expert Data-as-a-Service offering in September 2025 and works with leading AI labs and enterprises on data for frontier model training and evaluation.
Stanford AI Lab origins underpin research output of 250+ papers
Snorkel grew out of the Stanford AI Lab nearly a decade ago, with a founding team credited with pioneering data-centric AI. The company's research spans more than 250 peer-reviewed papers cited over 25,000 times.