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- Snorkel AI
Snorkel AI Revenue, Valuation, Funding & Investors
Snorkel AI is valued at $3.5B as of September 2026, a 9.3x revenue multiple. Snorkel AI revenue was $375M, as disclosed with its latest round.
Last Snorkel AI valuation
$3.5B
Undisclosed stage · Sep 2026
Last Snorkel AI funding round
$350M
Undisclosed stage · Sep 2026
Snorkel AI revenue
$375M
Undisclosed stage · Sep 2026
Key investors in Snorkel AI
Greylock
GV
Lightspeed Venture Partners
IQT
Addition
BlackRock
About Snorkel AI
Snorkel AI is a Redwood City-headquartered platform originating from Stanford AI Lab for programmatic data labeling in enterprise AI. Founded in 2019, it uses weak supervision to label datasets 100 times faster than manual methods. Adopted by Pfizer and Intel, Snorkel builds domain-specific models from proprietary enterprise data.
Founded
2019
HQ
Website
Status
Privately held
Customer focus
B2B
Revenue model
Subscription
Revenue
$375M (Sep 2026)
Valuation
$3.5B (Sep 2026)
Snorkel AI Valuation
Snorkel AI is currently valued at $3.5B, based on its undisclosed-stage round in September 2026. Read the announcement ↗
The $350M round was led by Insight Partners and S32, with participation from Addition, Greylock and Wells Fargo.
Snorkel AI's valuation has grown 26x from $135M at its Series A in July 2020 to $3.5B in September 2026, across 4 priced rounds.
Snorkel AI valuation by funding round
Revenue multiple| Date | Stage | Valuation | Revenue Multiple |
|---|---|---|---|
| Sep 2026 | Undisclosed stage | $3.5B | 9.3x |
| May 2025 | Series D | $1.3B | 65.0x |
| Aug 2021 | Series C | $1B | 50.0x |
| Jul 2020 | Series A | $135M | 6.8x |
Snorkel AI Revenue
Snorkel AI's latest recorded revenue is $375M, as of its undisclosed-stage round in September 2026. At a $3.5B valuation, that implies a 9.3x revenue multiple.
Revenue grew from $20M in July 2020 to $375M in September 2026, while the revenue multiple moved from 6.8x to 9.3x.
Snorkel AI revenue by funding round
| Date | Revenue * | Valuation | Revenue Multiple | Stage |
|---|---|---|---|---|
| Sep 2026 | $375M | $3.5B | 9.3x | Undisclosed stage |
| May 2025 | $20M | $1.3B | 65.0x | Series D |
| Aug 2021 | $20M | $1B | 50.0x | Series C |
| Jul 2020 | $20M | $135M | 6.8x | Series A |
* Revenue (or ARR) figures are the values recorded alongside each funding round. Typically run-rate revenue at the time of the deal, or a reported LTM (last 12 months) revenue.
Snorkel AI Funding History
Snorkel AI has raised a total of $585M across 6 funding rounds.
Snorkel AI's first fundraising round was a $3M seed round in July 2020. The most recent completed round was a $350M undisclosed-stage round in September 2026.
Snorkel AI funding rounds
| Date | Stage | Investors | Raised | Valuation | Deal Summary |
|---|---|---|---|---|---|
| Sep 2026 | Undisclosed stage | Insight Partners (lead); S32 (lead); Addition; Greylock; Wells Fargo | $350M | $3.5B | Snorkel AI raised $350 million in a Series E financing led by Insight Partners and S32, with participation from existing investors Addition, Greylock, and Wells Fargo, valuing the company at $3.5 billion in September 2026. The round came amid accelerating demand for complex AI training data and simulated environments, and the company said the capital will support continued growth as frontier AI labs and enterprise customers expand use of its data development platform. Snorkel AI is an AI data company founded by researchers from Stanford, focused on software and services for creating, refining, and evaluating training data for model development and agentic workflows; the company reported 18x+ growth over the prior 12 months and operates as a platform for enterprise AI data operations. |
| May 2025 | Series D | Addition (lead); BNY Mellon; QBE Ventures; Lightspeed Venture Partners; Greylock; Aramco Ventures | $100M | $1.3B | Snorkel AI, a Redwood City-based provider of an AI Data Development Platform originating from the Stanford AI Lab, raised $100 million in its Series D funding round on May 29, 2025, at a $1.3 billion valuation. The round was led by Addition, with participation from Prosperity7 Ventures, Greylock, Lightspeed Venture Partners, BNY Mellon, and QBE Ventures, bringing total funding to $237 million since 2019. The platform enables programmatic data development for evaluating and tuning specialized AI systems, helping enterprises move from prototypes to production-scale deployments using expert data. The funding supports expansion of engineering, research, and go-to-market efforts, alongside new offerings like Snorkel Evaluate for fine-grained AI model assessment and Snorkel Expert Data-as-a-Service. Snorkel AI serves Fortune 500 clients including BNY, Wayfair, and Chubb, as well as U.S. federal government entities like the U.S. Air Force. It addresses challenges in deploying large language models for specialized business cases, where scalable AI data practices are critical to avoid project abandonment, per Gartner projections through 2026. The company has demonstrated strong commercial momentum and industry recognition, including Fast Company’s Most Innovative Companies and Forbes' AI 50 lists. Prior rounds included a $85M Series C in August 2021 led by Addition and BlackRock. This Series D underscores investor confidence in Snorkel AI's data-centric approach amid growing enterprise demand for reliable, production-ready AI solutions in sectors like banking, telecom, biotech, and government. |
| Aug 2021 | Series C | Addition (lead); BlackRock (lead); Stonebridge Ventures; GV; Walden International; Nepenthe Capital; Lightspeed Venture Partners; Greylock | $85M | $1B | Snorkel AI, a Stanford University spinoff founded in 2019, develops a data-centric AI platform powered by programmatic data labeling through its Snorkel Flow product, enabling enterprises to build AI applications by automating data tagging via scripts and functions, reducing development time from months to days or weeks. The platform supports use cases across text, images, video, and time-series data, helping companies like Apple, Google, Intel, and others achieve higher-accuracy models that are privacy-compliant and auditable, with reported ROIs in the seven- to eight-figure range for customers in banking, government, insurance, telecom, and biotech. On August 9, 2021, Snorkel AI raised $85 million in a Series C funding round at a $1 billion post-money valuation, bringing total funding to $135 million. The round was co-led by Addition and BlackRock (specifically BlackRock Enhanced funds and accounts), with participation from existing investors Greylock, GV (Google Ventures), Lightspeed Venture Partners, Nepenthe Capital, Walden International, and Stonebridge Ventures (also listed as Stone Bridge Ventures). The funding aimed to accelerate product development by integrating years of AI research from Stanford, University of Washington, and other institutions into Snorkel Flow, expand engineering and go-to-market teams with talent from Apple, Google, Meta, Microsoft, and NVIDIA, and drive broader enterprise adoption of data-centric AI to address bottlenecks in labeled dataset creation. Traction was highlighted through customer case studies, such as Google creating a dataset in 30 minutes versus six months and Apple reducing AI errors by nearly three times. |
| Apr 2021 | Series B | Lightspeed Venture Partners (lead); GV; BlackRock; Nepenthe Capital; Greylock; Boston Trust Walden Company; IQT | $35M | - | Snorkel AI, a Stanford AI Lab spinout founded in 2019, develops Snorkel Flow, a data-centric AI platform that automates data labeling for machine learning applications, addressing the costly and labor-intensive process of hand-labeling training data. The company targets enterprises in sectors like banking, government, insurance, telecom, and biotech, enabling faster AI development from weeks or months to hours or days. Customers include Apple, Intel, Stanford Medicine, top U.S. banks, and global enterprises, with reported seven- to eight-figure ROIs. In April 2021, Snorkel AI raised $35 million in a Series B round led by Lightspeed Venture Partners, with participation from existing investors Greylock, GV (Google Ventures), In-Q-Tel, Nepenthe Capital, and new investors including Boston Trust Walden and BlackRock. This brought total funding to $50 million at the time. The Series B funded scaling operations, enhancing platform capabilities, and expanding the go-to-market team. Prior to Series B, Snorkel AI completed a seed round in 2019 and a Series A in July 2020 ($12M led by Greylock). |
| Jul 2020 | Series A | Greylock (lead); GV; IQT | $12M | $135M | Snorkel AI raised $12 million in a Series A round led by Greylock in July 2020, with Google Ventures also participating, at a post-money valuation of $135 million. The company, founded in 2019, develops machine learning tools and the Snorkel Flow platform that enable data scientists and developers to programmatically label and manage datasets for AI applications. The funding was intended to scale the engineering team and accelerate product development for the Snorkel Flow platform. By end of 2022, the company had achieved $20 million in annual recurring revenue and 3x year-over-year revenue growth, with 200+ customers and strong retention metrics. Snorkel AI went on to raise $35 million in Series B funding in April 2021 and $85 million in Series C in August 2021 at a $1 billion valuation, establishing itself as a key player in the data labeling and machine learning infrastructure space. |
| Jul 2020 | Seed | Greylock (lead); GV (lead); Accel; IQT | $3M | - | Snorkel AI raised $3.3 million in its Seed round in July 2020, led by venture capital firms GV (Google Ventures) and Greylock. The funding was used to develop the initial version of Snorkel Flow and validate market demand for programmatic data labeling solutions. The company, founded in 2019 and based in Palo Alto, California, builds a data-centric AI platform for machine learning training and evaluation. Snorkel AI has since grown to serve Fortune 500 companies and U.S. federal government agencies, including the U.S. Air Force, across industries including banking, insurance, and telecommunications. The company later achieved a $1.3 billion valuation by May 2025 following a $100 million Series D round led by Addition. |
Who has invested in Snorkel AI?
17 investors have backed Snorkel AI across its funding rounds, including Greylock, GV, Lightspeed Venture Partners, IQT, Addition and BlackRock.
Lead investors include Insight Partners, S32, Addition, BlackRock, Lightspeed Venture Partners and 2 other investors.
Snorkel AI Investors
| Investor | HQ | Rounds | Role | First check |
|---|---|---|---|---|
| 6 | Lead | Jul 2020 | ||
| 4 | Lead | Jul 2020 | ||
| 3 | Lead | Aug 2021 | ||
| 3 | Lead | Apr 2021 | ||
| 3 | Participant | Jul 2020 | ||
| 2 | Lead | Apr 2021 | ||
| 2 | Participant | Apr 2021 | ||
| 1 | Participant | Aug 2021 | ||
| 1 | Participant | May 2025 | ||
| 1 | Participant | May 2025 | ||
| 1 | Lead | Sep 2026 | ||
| 1 | Participant | Aug 2021 | ||
| 1 | Lead | Sep 2026 | ||
This data is available for Pro users. Sign up to see all 17 Snorkel AI investors. Start Free Trial | ||||
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Start Free TrialSnorkel AI Competitors
Snorkel AI competitors include listed companies like MongoDB and Datadog, and private ones like Factory, Scale AI, Origin Quantum and Certus Core.
| Company | HQ | Status | Revenue | EBITDA | Valuation | Revenue Multiple |
|---|---|---|---|---|---|---|
| Publicly listed | $2.5B | ($104M) | $28B | 9.0x | ||
| Publicly listed | $3.4B | ($588K) | $84B | 18.8x | ||
| Private | - | - | $5B | - | ||
| Private | $2B | - | $29B | 14.5x | ||
| Private | - | - | $3.5B | - | ||
| Private | - | - | $3.4B | - |
Snorkel AI Public Comps
Snorkel AI is still privately-owned, but its public comps include XtalPi, Teradata, CorVel, Dameng Database, Intsig Information, InSilico Medicine Cayman, Liftoff Mobile, Xunce Technology, Shenzhen Intellifusion and Tenable.
| Last FY | EV/Revenue | EV/EBITDA | ||||||
|---|---|---|---|---|---|---|---|---|
| Revenue | EBITDA | Last FY | LTM | 2027E | Last FY | LTM | 2027E | |
| $121M | $22M | 21.1x | 17.9x | 113.9x | (151.6x) | |||
| $1.7B | $285M | 1.7x | 1.7x | 10.1x | 6.3x | |||
| $959M | $175M | 4.1x | - | 22.4x | - | |||
| $196M | $84M | 12.1x | 9.6x | 28.2x | 21.1x | |||
| $272M | $84M | 8.0x | 6.6x | 26.0x | 23.9x | |||
| $56M | ($353M) | 37.2x | - | (5.9x) | - | |||
| $686M | $203M | 5.3x | - | 17.8x | - | |||
| $193M | ($16M) | 12.1x | 6.9x | (149.3x) | 145.0x | |||
This data is available for Pro users. Sign up to see all Snorkel AI competitors and their valuation data. Start Free Trial | ||||||||
Common questions about Snorkel AI
| When was Snorkel AI founded? | Snorkel AI was founded in 2019. |
| Where is Snorkel AI headquartered? | Snorkel AI is headquartered in San Francisco, CA, United States. |
| Is Snorkel AI publicly listed? | No, Snorkel AI is a private, VC-backed company. |
| What is Snorkel AI's valuation? | Snorkel AI was last valued at $3.5B in its undisclosed-stage round in September 2026. |
| How much funding has Snorkel AI raised? | Snorkel AI has raised $585M across 6 funding rounds. |
| What was Snorkel AI's last funding round? | Snorkel AI's last funding round was a $350M undisclosed-stage round in September 2026, led by Insight Partners and S32. |
| Who are Snorkel AI's investors? | Snorkel AI's investors include Greylock, GV, Addition, Lightspeed Venture Partners, IQT, BlackRock, Nepenthe Capital, Stonebridge Ventures, BNY Mellon, QBE Ventures and 7 others. |
| What is Snorkel AI's revenue? | Snorkel AI's latest recorded revenue is $375M (September 2026). |
| What is Snorkel AI's revenue multiple? | Snorkel AI's latest valuation implies a 9.3x revenue multiple ($3.5B valuation on $375M of revenue). |
| Which companies are comparable to Snorkel AI? | Companies comparable to Snorkel AI include MongoDB, Datadog, Factory, Scale AI, Origin Quantum and Certus Core. |
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