Snorkel AI triples valuation to $3.5B as demand for AI training data booms

Snorkel AI has secured $350 million in a Series E financing that values the company at $3.5 billion, nearly triple the $1.3 billion valuation it reached during a Series D round 17 months earlier. The new round was led by Insight Partners and S32, with several existing investors including Addition, Lightspeed, Greylock, GV and Wells Fargo taking part. Founded on research conducted at a Stanford AI lab, Snorkel launched commercially in 2019 and has since shifted its business model. Originally focused on software to automate data labeling, the company moved last year toward supplying customers with finished datasets and reinforcement learning environments under a data-as-a-service approach. It combines automated tooling and synthetic data generation with domain specialists rather than operating purely as a human-expert marketplace. Snorkel reported an annualized revenue run rate of $375 million, an eighteenfold increase compared with the prior 12 months, which the company attributes to strong demand from AI labs for high-end training data. The firm says payments to human experts are recorded as cost of goods sold because it sells completed datasets and RL environments rather than billing primarily for human labor. The surge at Snorkel mirrors broader activity in the AI data market. TechCrunch noted other data-focused companies have posted large gross top-line figuresMercor at $2 billion gross annualized revenue, Handshake reaching $1 billion, and Micro1 scaling to $500 million. Those firms typically pass roughly 60% to 70% of revenues through to domain specialists, which reduces their net revenue relative to the headline gross numbers. The Series E gives Snorkel additional capital to expand its data-as-a-service offering as customers continue to seek training data and simulated environments for AI development. The companys trajectory reflects growing commercial opportunities for specialized data providers serving the machine learning ecosystem.