Every round on record, with the sources behind each and the investors on them.
A startup that helps AI labs and corporations build training datasets and simulated environments
snorkel.aiLinkedInRedwood City, United StatesData and analyticsFounded 2019201-500 people
| Round | Amount | Announced | Lead | Verified | Status | Sources |
|---|---|---|---|---|---|---|
| Series D+ Series E | $350M | 2026-09-22 | Insight Partners, S32, Section 32 | 9 | [ PUBLISHED ] | 9 |
[ VERIFIED · CORRECTED ]0.94 read against its primary page [ BUILT WITH ]·[ SEARCH ]found by Firecrawl search: "Series E" OR "Series F" raises million | ||||||
Snorkel AI builds expert-developed training data, benchmarks, evaluations, and simulated environments for frontier AI labs, enterprises, and other teams building specialized AI systems.
| Round | Amount | Announced | Lead |
|---|---|---|---|
| Seed and Series A | $15M | undated | not stated |
| Series B | $35M | 2021-04-05 | Lightspeed Venture Partners |
| Series C | $85 million | 2021-08-09 | BlackRock, Addition |
| Series D | $100M | 2025-05-29 | Addition |
Snorkel targets a bottleneck the company and coverage describe as increasingly important to frontier AI: high-quality, specialized training and evaluation data that cannot be produced by generic public-web data or manual labeling alone. Its reported $350M Series E and $375M annualized revenue run rate show investors are betting that a human-plus-AI data-development model can scale to serve frontier labs, enterprises, and government as AI systems become more complex.
Via Alexandria from FullEnrich: founded, headcount, type, industry