Snorkel AI triples valuation to $3.5B as demand for AI training data booms — SkimNews
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- Snorkel AI closed a $350 million Series E led by Insight Partners and S32 at a $3.5 billion valuation, with Addition, Lightspeed, Greylock, GV, and Wells Fargo also participating.
- The round values the seven-year-old startup at nearly 3x its $1.3 billion Series D mark from 17 months ago, when it raised $100 million.
- Snorkel shifted last year from data-labeling automation software to a data-as-a-service model, using its own models to generate synthetic data alongside subject matter experts.
- Snorkel says its annualized revenue run rate now stands at $375 million — an eighteenfold increase over the past 12 months — fueled by AI labs' demand for training data.
- Unlike peers such as Mercor ($2B gross ARR), Handshake ($1B), and Micro1 ($500M), Snorkel sells reinforcement learning environments and complete datasets rather than human labor, so payments to its domain experts sit in cost of goods sold rather than headline revenue.
- Snorkel launched commercially in 2019 after four years of research by co-founder and CEO Alex Ratner and his team at Stanford's AI lab.
Why it matters: Snorkel's $375M ARR is cleaner economics than the headline-gross figures posted by Mercor, Handshake, and Micro1, which pay out 60–70% of top-line income to contractors — meaning Snorkel's jump from $1.3B to $3.5B in 17 months is priced on real revenue, not marketplace pass-through.
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