Technology and Science · updated 1h ago · 2 min read
Snorkel AI Raises $350 Million, Triples Valuation To $3.5 Billion
Snorkel AI raised $350 million in a Series E at a $3.5 billion valuation. The round was led by Insight Partners and S32, with participation from existing investors.
Whether the $350M+ figure is treated as revenue or growth signal.
5 of 7 outlets skipped it: snorkel expects to be profitable this year.
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TechCrunch
“it says its current annualized revenue run rate now stands at $375 million”Read the original ↗
Wowtale
“The company says its annualized revenue run rate is up eighteenfold over the past year, to $375 million.”Read the original ↗
Most treat it as revenue, so valuation justification is broadly aligned.
Valuation Triples to $3.5B
Snorkel AI raised $350 million in fresh funding at a $3.5 billion valuation, with CEO Alex Ratner telling Reuters that the deal reflected surging demand from frontier AI labs for increasingly complex training data and simulated environments. The company’s annualized revenue run-rate has crossed $350 million, up from roughly $20 million a year earlier, driven by the data-as-a-service business it launched in September 2025.
Snorkel shifted from selling software to supplying finished datasets and reinforcement-learning, or RL, environments directly to customers. Snorkel now offers what it calls an "agentic data development platform" that pairs human experts with thousands of specialized AI models and agents to create and vet data.
Human Input, Synthetic Automation
Alex Ratner told Reuters that experts devise design scenarios, tasks and grading rubrics while AI automates much of the labor-intensive quality assurance process. "100% of the data that labs will get value out of will have some human input in the foreseeable future."
"But 100% of that data will have to use synthetic and automated approaches to keep up with this complexity." Snorkel sells the data products it generates rather than charging for human labor, and the company taps a network of tens of thousands of specialists across fields such as coding, law and medicine.
What the Funding Enables
Snorkel’s fresh capital would be used to hire researchers and engineers while expanding the company’s enterprise and government operations. Snorkel also plans to support third-party AI model evaluations and push into new industry verticals and data modalities.
Andy Harrison, a partner at S32 who co-led the funding, told Reuters, "Data is becoming more rare, more specialized, more difficult to find," and he said, "If you want to train the most frontier, complex and capable models, now you need superior data." Snorkel expects to reach profitability this year, and it framed the funding as part of a broader market transformed after Meta’s $14.3 billion purchase of a 49% stake in Scale AI in June 2025.