Snorkel AI raises $350M at $3.5B valuation for AI training data

Snorkel AI has raised $350 million in a Series E funding round led by Insight Partners and S32, valuing the startup at $3.5 billion. Driven by its data-as-a-service model launched in September 2025, Snorkel AI's annualized revenue run-rate surged to between $350 million and $375 million, up from $20 million a year prior. The company, which expects to reach profitability in 2026, uses a hybrid approach combining human experts with AI models to generate complex training datasets.

Snorkel AI Series E

• ▪Snorkel AI raised $350 million in a Series E funding round led by Insight Partners and S32 on September 22, 2026
• ▪Snorkel AI's Series E funding round, announced September 22, 2026, valued the company at $3.5 billion, nearly triple the $1.3 billion valuation achieved in May 2025
• ▪Existing investors Addition, Greylock, Wells Fargo, Lightspeed, and GV participated in Snorkel AI's $350 million Series E funding round
• ▪Snorkel AI plans to use the $350 million in fresh capital to hire researchers and engineers, expand enterprise and government operations, and support third-party AI model evaluations

Data-as-a-service business model

• ▪Snorkel AI sells completed data products rather than charging for human labor, accounting for payments to its network of specialists under cost of goods sold to preserve profit margins
• ▪Snorkel AI utilizes an agentic data development platform that pairs human experts with specialized AI models and agents to create, vet, and automate quality assurance for training datasets
• ▪Snorkel AI shifted its business model from selling software to offering completed datasets and reinforcement-learning environments directly to customers through a data-as-a-service model launched in September 2025

Revenue growth acceleration

• ▪Snorkel AI's annualized revenue run-rate increased to between $350 million and $375 million in September 2026, up from approximately $20 million a year earlier
• ▪Snorkel AI expects to reach profitability in 2026, even as the company continues to prioritize growth

AI training data demand

• ▪Snorkel AI CEO Alex Ratner stated that all valuable training data will require human input, but must also utilize synthetic and automated approaches to keep up with complexity
• ▪Demand for Snorkel AI's services is driven by frontier AI labs, hyperscalers, enterprises, and the U.S. federal government requiring complex, specialized training data and simulated environments

Competitive market dynamics

• ▪Venture funding has surged into startups supplying frontier AI labs with training data, a market shift accelerated by Meta's $14.3 billion purchase of a 49% stake in Scale AI in June 2025
• ▪Competitors in the AI training data market, including Mercor, Handshake, Micro1, and Surge AI, have experienced significant revenue growth and investor interest