Snorkel AI, a startup that helps AI labs and corporations build training datasets and simulated environments, has raised a $350 million Series E at a $3.5 billion valuation.
The round was led by Insight Partners and S32, valuing the seven-year-old startup at nearly triple the $1.3 billion valuation it achieved when it raised $100 million in a Series D 17 months ago. Existing investors, including Addition, Lightspeed, Greylock, GV, and Wells Fargo, also participated.
While Snorkel originally provided software for data labeling automation, it shifted last year to providing customers with completed datasets, an offering it calls data-as-a-service. Rather than operating purely as a human expert marketplace, Snorkel relies on a hybrid approach, using its software and models to generate data synthetically alongside subject matter experts.
Rapid Revenue Growth
Snorkel says its current annualized revenue run-rate now stands at $375 million, an 18-fold increase over the last 12 months. That growth is fueled by AI labs' insatiable appetite for high-end training data.
Other data companies positioning themselves as AI data labs have seen a similar explosion in growth. Mercor's gross annualized revenue has climbed to $2 billion, Handshake hit the $1 billion milestone earlier this year, and TechCrunch reported that Micro1 has scaled to $500 million. Since these companies pay out roughly 60% to 70% of their top-line income directly to the domain specialists doing the work, it's important to note that their actual net annual revenue is substantially lower than those headline gross figures.
Given that Snorkel sells reinforcement learning (RL) environments and complete datasets rather than human labor, payments to its human experts are accounted for in its cost of goods sold rather than headline-generating annualized revenue numbers, according to the company.
From Stanford Lab to Commercial Success
Snorkel launched commercially in 2019 following four years of research by co-founder and CEO Alex Ratner and his team at a Stanford AI lab.
As the AI industry continues to mature in 2026, the demand for high-quality training data and RL environments shows no signs of slowing, positioning Snorkel and its competitors at the center of the next phase of AI development.
via TechCrunch AI