
Snorkel AI triples valuation to $3.5B as demand for AI training data booms
Snorkel AI, a startup that helps AI labs and corporations build training data sets and simulated environments, has raised a $350 million Series E at a $3.5 billion valuation. The new round, which was led by Insight Partners and S32, valued the seven-year-old startup at nearly triple the $1.3 billion valuation it garnered when it raised $100 million in a Series D 17 months ago. Existing investors, including Addition, Lightspeed, Greylock, GV, and Wells Fargo, also participated in the round.
- ▪Snorkel AI, a startup that helps AI labs and corporations build training data sets and simulated environments, has raised a $350 million Series E at a $3.5 billion valuation.
- ▪The new round, which was led by Insight Partners and S32, valued the seven-year-old startup at nearly triple the $1.3 billion valuation it garnered when it raised $100 million in a Series D 17 months ago.
- ▪Existing investors, including Addition, Lightspeed, Greylock, GV, and Wells Fargo, also participated in the round.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/22/snorkel-ai-triples-valuation-to-3-5b-as-demand-for-ai-training-data-booms/ |
| Publication time | Tue, 22 Sep 2026 21:56:43 +0000 |
| Retrieval time | 2026-09-22T21:59:00.264Z |
| Last seen | 2026-09-22T21:59:00.264Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Iyf5G7gdfdPs · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Snorkel AI, a startup that helps AI labs and corporations build training data sets and simulated environments, has raised a $350 million Series E at a $3.5 billion valuation. The new round, which was led by Insight Partners and S32, valued the seven-year-old startup at nearly triple the $1.3 billion valuation it garnered when it raised $100 million in a Series D 17 months ago. Existing investors, including Addition, Lightspeed, Greylock, GV, and Wells Fargo, also participated in the round. While Snorkel originally provided software for data labeling automation, it shifted last year to providing customers with completed data sets, an offering it calls data-as-a-service.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.