Snorkel AI raises $350 million as demand for AI training data surges
The data-development company said the round values it at $3.5 billion, nearly triple its 2025 mark, after pivoting from software to delivering finished datasets.
By Tech CEO Daily Staff, Newsroom
· 2 min read
The news
Snorkel AI said on September 22 that it raised $350 million at a $3.5 billion valuation. Insight Partners and S32 co-led the round, with existing investor Addition participating significantly. TechCrunch described it as a Series E.
New investors include March Capital, Blumberg Capital, Allegis Capital, Frontline, Standard and Third Point Ventures. Existing backers Greylock, Lightspeed, GV, Factory, Prosperity7, Walden Catalyst and Wells Fargo also returned.
Snorkel was spun out of Stanford research and started commercially in 2019 selling software that automated data labeling. It has since shifted to what TechCrunch called a data-as-a-service model: combining synthetic data generation with paid human subject-matter experts to deliver datasets, benchmarks and reinforcement-learning environments to AI labs and enterprises. The company did not name customers.
The new valuation is close to triple the $1.3 billion Snorkel reached in its previous round about 17 months ago. TechCrunch reported annualized revenue of about $375 million, up roughly eighteenfold in a year, and noted that Snorkel books payments to its human experts as cost of goods sold. Snorkel said it will use the money to expand its data production capacity, push into vertical and enterprise AI, and extend research into new domains and data types.
The numbers
- Amount raised
- $350M
- Valuation (company-stated)
- $3.5B
- Co-leads
- Insight Partners, S32
- Prior valuation
- $1.3B
- Revenue run rate (TechCrunch)
- About $375M
Why CEOs should care
The money flowing to Snorkel, Micro1, Mercor and others shows where AI spending is moving: beyond chips and models to the specialized, expert-built data that makes models useful in specific fields. For enterprises, that is also a hint about their own advantage. Proprietary, well-labeled domain data is becoming more valuable, and vendors will increasingly offer to buy it, build on it or license it.
Buyers should read revenue claims in this sector carefully. Many data vendors pass a large share of revenue straight through to contract experts, so headline run rates can overstate the underlying business. When comparing suppliers, ask about gross margin, expert vetting, data provenance and who owns the output.
What's next
Watch whether AI labs keep outsourcing this work or bring more of it in-house, which would pressure the growth rates now underpinning these valuations.
Sources
- PrimarySnorkel AI Raises $350M to Scale the Data Factory for Frontier AI— PR Newswire
- ReportSnorkel AI triples valuation to $3.5B as demand for AI training data booms— TechCrunch
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