Snorkel AI closed a $350 million Series E at a $3.5 billion valuation, announced on September 22, 2026, led by Insight Partners and S32 with participation from Third Point, March, Blumberg, Allegis, Standard VC, Frontline, and existing backers.

CEO Alex Ratner says the funding reflects surging demand for high-quality, complex AI training data and simulated environments, fueling a shift to data-as-a-service.

The round nearly triples the company’s prior valuation of about $1.3 billion from just over a year ago, underscoring rapid growth.

Snorkel leverages a network of tens of thousands of specialists across fields like coding, law, and medicine, selling data products rather than billing for human labor to protect margins.

Data 2.0 represents the next phase of AI data development, treating high-quality data as a research problem, supported by an Agentic Data Platform that uses hundreds of specialized AI agents to assist humans and enable recursive self-improvement loops for data quality and model performance.

The company has shifted from pure data labeling automation to offering data-as-a-service, delivering completed datasets and synthetic data with SME involvement through a hybrid model.

Competitors like Mercor, Handshake, and Micro1 are also seeing revenue growth in AI data labs, though topline figures often pay out to domain specialists, reducing net revenue relative to gross.

Industry-wide growth in demand for AI training data and a broader shift toward data-centric AI tooling and services are highlighted.

The funding will fund hiring researchers and engineers, expand enterprise and government operations, support third-party model evaluations, and push into new verticals and data modalities, with profitability anticipated this year.

Snorkel serves frontier AI labs, hyperscalers, enterprises, and the US federal government, with coding data being a major area of demand.

Venture funding for data providers to frontier AI labs remains robust, with attention on rivals like Mercor and Surge AI following notable industry moves such as Meta’s stake in Scale AI.

Snorkel plans substantial investment in specialized AI models and expects growing data development focus on specialized AI, emphasizing R&D in data and environment development for AI alignment and safety.