Snorkel AI hits $3.5B valuation on $350M raise

Snorkel AI has closed a $350 million Series E round at a $3.5 billion valuation, nearly tripling the $1.3 billion price tag it commanded just 17 months earlier when it raised $100 million.

Insight Partners and S32 led the round, with participation from existing backers including Addition, Lightspeed, Greylock, GV, and Wells Fargo. The seven-year-old company now reports an annualized revenue run rate of $375 million — an 18-fold increase over the past year.

Why it matters

The explosive growth at Snorkel and similar data providers signals a structural shift in AI development economics. As frontier models exhaust publicly available training data, companies are paying premium prices for curated, domain-specific datasets and synthetic data generation. This creates a lucrative layer in the AI stack that sits between raw compute and finished models — and the valuations reflect investors' belief that high-quality data will remain a bottleneck even as compute becomes more accessible.

From software to data-as-a-service

Snorkel originally built software for automating data labeling but pivoted last year to selling completed datasets directly. The company uses a hybrid approach that combines proprietary software and models to generate synthetic data alongside work from subject matter experts.

This model differs from pure human expert marketplaces. While competitors like Mercor, Handshake, and Micro1 report gross revenues of $2 billion, $1 billion, and $500 million respectively, those companies typically pay 60% to 70% of top-line revenue directly to workers, meaning their net revenue is substantially lower. Snorkel accounts for payments to human experts as cost of goods sold rather than as a reduction from headline revenue figures.

AI labs fuel the boom

The company attributes its rapid revenue growth to what it describes as AI labs' "insatiable appetite for high-end training data." Beyond datasets, Snorkel also provides reinforcement learning environments that allow models to train through simulated interactions.

Co-founder and CEO Alex Ratner launched Snorkel commercially in 2019 after four years of research at a Stanford AI lab. The company's evolution from research project to multi-billion-dollar enterprise mirrors the broader maturation of the AI infrastructure market.

TechCrunch first reported the funding details.