Snorkel AI

Last Reported Valuation
$1.3B
Series D, May 2025
Total Funding Raised
$235M+
As of Aug 2025
Founded
2019
Redwood City, CA
Exchange Listing
Private
Not publicly traded
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About Snorkel AI

Snorkel AI is a data-centric AI platform that enables enterprises and government agencies to build, manage, and evaluate high-quality training data for machine learning at scale. Founded in 2019 by Alexander Ratner, Braden Hancock, Chris Ré, and fellow researchers out of the Stanford AI Lab, Snorkel AI has raised approximately $235 million in total funding and was most recently valued at $1.3 billion following its Series D in May 2025.

Snorkel's flagship product — Snorkel Flow — allows data scientists and ML engineers to programmatically label, curate, augment, and fine-tune training data without relying on manual annotation at scale. This approach can reduce data labeling time by 10–100x while improving model quality. Customers include the U.S. Department of Defense, the U.S. Air Force, and Fortune 500 enterprises across financial services, healthcare, and technology. As of 2025, Snorkel AI reported approximately $148 million in ARR and approximately 776 employees.

Snorkel AI's Series D was led by Addition with participation from QBE Ventures and existing investors. The broader investor base includes BlackRock, Greylock, GV (Google Ventures), Lightspeed Venture Partners, Accenture Ventures, Aramco Ventures, and In-Q-Tel — the CIA's venture capital arm — underscoring Snorkel's deep relevance to defense and regulated industries.


Funding History

Round Date Amount Raised Post-Money Valuation Notable Investors
Series D May 2025 $100M ~$1.3B Addition, QBE Ventures, existing investors
Series C Aug 2021 $85M ~$1B Addition, BlackRock, Greylock, GV (Google Ventures), Lightspeed Venture Partners
Series B 2020 $35M Undisclosed Greylock, GV (Google Ventures), In-Q-Tel
Series A 2019 $15M Undisclosed Greylock, GV (Google Ventures), In-Q-Tel

Figures sourced from public disclosures. Approximate. For informational purposes only. Not an offer or solicitation.


Company Details

Legal Name
Snorkel AI, Inc.
Headquarters
Redwood City, CA
Founded
2019
Sector
Artificial Intelligence
Sub-Sector
AI Data / Training Data Platform
Flagship Product
Snorkel Flow
Entity Type
Private Corporation
Employees
~776
Exchange Listing
Not Public

Snorkel AI Stock FAQs

No. Snorkel AI is a private company headquartered in Redwood City, California. Its shares are not listed on any public stock exchange, and as of June 2026, Snorkel AI has not announced IPO plans. Accredited investors interested in exposure to Snorkel AI may explore the FNEX Ventures Fund, subject to eligibility and availability.
Snorkel AI's most recently reported post-money valuation was approximately $1.3 billion, established following its $100 million Series D in May 2025 led by Addition. The company was previously valued at approximately $1 billion following its $85 million Series C in August 2021. Private company valuations are based on the terms of recent financing rounds and are not indicative of current market value or future performance.
Snorkel AI's lead investor across multiple rounds is Addition. Additional key backers include BlackRock, Greylock, GV (Google Ventures), Lightspeed Venture Partners, Accenture Ventures, Aramco Ventures, Bank of New York Mellon, and In-Q-Tel — the CIA's venture capital arm. These are strategic and financial relationships and do not guarantee any particular performance outcome.
Snorkel AI builds platforms that automate the creation and management of AI training data — the most time-consuming and expensive part of deploying machine learning systems. Its flagship product, Snorkel Flow, allows teams to programmatically label, curate, and fine-tune training datasets without relying on manual annotation at scale. Customers range from the U.S. Department of Defense and Air Force to Fortune 500 companies in finance, healthcare, and technology.

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This is a private company. Its shares are not publicly traded and no market pricing is provided on this page. All valuation figures are based on publicly reported funding round data and are not indicative of current market value, intrinsic value, or future performance. Private company valuations are inherently uncertain and may change materially over time.

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