Snorkel AI
Enterprise platform for AI data development and deployment.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Snorkel AI, Inc.
- Entity type
- COMPANY
- Founded
- 2019
- Headquarters
- Redwood City, California
- Company size
- 1,001–5,000
- Market role
- Data Provider / Broker
- Official website
- snorkel.ai
What Snorkel AI does
Snorkel AI operates a B2B enterprise software model built around proprietary AI data development tooling and adjacent managed services. The company creates value by reducing the time, cost, and manual effort required to prepare high-quality training and evaluation data, especially for complex enterprise AI use cases involving unstructured documents, domain expertise, LLM fine-tuning, and retrieval systems. It complements the platform with expert data services and solutions engineering, which deepen adoption and help customers move from pilot to production.
Category differentiation
Snorkel AI is not a foundational LLM provider or a general-purpose consumer AI app. It is an enterprise AI software and services company focused on data development, labelling, evaluation, and deployment workflows.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Snorkel AI is a private US enterprise software company that sells a data-centric AI development platform and related services to large organisations. Its products help enterprise data science and engineering teams build AI systems by creating and refining training data, evaluating models, fine-tuning LLMs, optimising RAG pipelines, and deploying custom AI applications. The company also offers managed dataset services and embedded engineering support for customers that need domain-specific or regulated deployments. The business is primarily monetised through high-value enterprise software contracts and associated professional services rather than self-serve usage. Its customer base centres on enterprise AI teams, ML engineers, product and engineering leaders, and regulated-industry organisations that need reliable, production-ready AI workflows with stronger governance, data quality, and accuracy than generic tooling alone.
Company news briefing
Briefing updated:
Snorkel AI has continued to advocate for open-weight models, joining other industry figures in opposing proposed U.S. government bans on Chinese open-weight systems like Moonshot's Kimi K3 to support cost reduction and innovation. Building on this ecosystem engagement, the company successfully raised a $350 million Series E round at a $3.5 billion valuation, driven by high demand from AI labs. This funding will support Snorkel's strategic shift from data-labeling software to offering complete datasets, simulation environments, and data-as-a-service solutions, backed by an annualized revenue run rate of $375 million.
Business model & monetisation
Snorkel AI uses a sales-led enterprise monetisation model centred on annual or multi-year software subscriptions for its platform products, supplemented by paid managed services. Revenue comes from custom-priced SaaS contracts for Snorkel Flow, the broader enterprise AI platform, and packaged RAG deployments, with additional commercial streams from expert-curated datasets, data labelling and refinement services, and AI solutions engineering engagements. Pricing is not public and is described as bundled, high-touch, and enterprise-oriented rather than freemium or self-serve.
- Enterprise AI platform subscriptions
- Software Subscription
- AI solutions engineering
- Service Fee
- Expert Data as a Service
- Service Fee
- Packaged RAG deployments
- Software Subscription
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- Sama
Enterprise AI data annotation and validation platform with managed services.
- Appen
Enterprise AI data annotation and model evaluation provider.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Snorkel AI raises $350M Series E, triples valuation to $3.5B
AI · Recorded impact score: 4/5
Snorkel AI, a startup providing AI training data and simulated environments, has raised a $350 million Series E round at a $3.5 billion valuation, nearly tripling its previous $1.3 billion valuation from 17 months ago. The round was led by Insight Partners and S32, with participation from existing investors Addition, Lightspeed, Greylock, GV, and Wells Fargo. Snorkel has shifted from data-labeling software to offering complete datasets and reinforcement learning environments. The company reports an annualized revenue run rate of $375 million, an eighteenfold increase over the past year, driven by high demand from AI labs. The funding will support scaling its data-as-a-service offering.
- Snorkel AI raised $350 million in a Series E round.
- The Series E was led by Insight Partners and S32.
Careers & open positions
Open positions indexed from verified career portals and applicant tracking systems.
| Position | Department | Location | Posted |
|---|---|---|---|
| Strategic Delivery Lead(Lead) | Operations - Data-as-a-Service | New York City, NY (Hybrid); San Francisco, CA (Hybrid) | |
| Research Scientist - Human-AI Systems(Mid-Level) | Research | San Francisco, CA (Hybrid) | |
| Senior / Staff AI Engineer(Senior) | Engineering | New York City, NY (Hybrid); San Francisco, CA (Hybrid) | |
| Director, Research - Evaluation & Training(Director) | Research | New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) | |
| Research Scientist - Frontier Benchmarks(Mid-Level) | Research | New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote) |
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Questions about Snorkel AI
What is Snorkel AI?
Snorkel AI is a private enterprise software company that provides a data-centric platform and services for building, evaluating, and deploying AI systems.
Who uses Snorkel AI?
Its users are mainly enterprise data scientists, ML engineers, AI platform teams, and product or engineering leaders, particularly in complex and regulated environments.
How does Snorkel AI make money?
It makes money through enterprise software subscriptions, managed data services, and professional AI solutions engineering engagements.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
20 publicly documented primary sources and citations linked across the market graph.
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