Snorkel AI, a provider of AI training data, recently announced the completion of a $350 million Series E funding round, bringing its post-money valuation to $3.5 billion—nearly triple the $1.3 billion valuation recorded during its Series D round just 17 months ago. This round was co-led by Insight Partners and S32, with participation from existing investors including Addition, Lightspeed, Greylock, GV, and Wells Fargo.
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.5 Billion" class="wp-image-15358 j-lazy"/>With this latest round, Snorkel AI’s total historical funding has surpassed $585 million. The company had previously raised approximately $235 million across multiple rounds, including a $100 million Series D in May 2025, an $85 million Series C in 2021, and a $35 million Series B. Combined with the new $350 million, the company’s total funding places it at the forefront of the AI data sector.
Founded in 2019, Snorkel AI originated from research at the Stanford AI Lab. Initially a provider of software for automating data labeling, the company pivoted last year to a “Data-as-a-Service” model. It now delivers complete training datasets and reinforcement learning environments using a hybrid approach that combines synthetic data with domain expertise. This transformation has yielded remarkable results: the company’s annualized revenue run rate has reached $375 million, marking an 18-fold increase over the past 12 months.
As the capabilities of AI models increasingly rely on high-quality, specialized data, Snorkel AI’s explosive growth reflects strong market demand for premium training data. The company stated that the new funds will be used to hire more engineers, expand its enterprise and government business, and advance R&D in AI safety and open-source evaluation benchmarks.
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