Is Snorkel AI profitable in 2026?

Snorkel AI has not disclosed profitability figures. It raised a $100M Series D at a $1.3B valuation on May 29, 2025, then cut about 13% of its workforce in September 2025 during a strategic pivot toward frontier-lab data services, a pattern more consistent with cash burn than confirmed profitability.

Did Snorkel AI have layoffs?

Yes. Around September 2025, Snorkel AI cut roughly 13% of its workforce, about 31 of some 240 employees, concentrated in software engineering, as it pivoted toward a Data-as-a-Service model serving frontier AI labs, per a report dated 2026-07-14.

Who are Snorkel AI's biggest competitors?

Snorkel AI competes with Scale AI, Surge AI, and Labelbox in AI training data. In June 2025 Meta took a 49% stake in Scale AI, reportedly causing Scale to lose Google, OpenAI, Microsoft and xAI as customers and reshuffling the entire training-data sector.

Could AI replace Snorkel AI's core product?

Partly. Snorkel AI's original programmatic labeling and weak-supervision tooling is increasingly commoditized as foundation models handle zero-shot labeling themselves, pushing the company in May 2025 to launch Snorkel Evaluate and Expert Data-as-a-Service to serve frontier AI labs instead.

What is Snorkel AI's valuation?

Snorkel AI raised a $100M Series D on May 29, 2025 at a $1.3B valuation, led by Addition with Prosperity 7 Ventures, Greylock, Lightspeed, BNY and QBE Ventures, bringing its total funding raised since 2019 to $237M.

Snorkel AI is a private, venture-backed company with no parent. It was founded by Alexander Ratner, Christopher Ré, Braden Hancock, Henry Ehrenberg and Paroma Varma, spun out of the Stanford AI Lab, and incorporated in 2019.

AI companies and labs · United States

Snorkel AI

snorkel.ai ↗

Snorkel AI builds data labeling and training tools for enterprise and frontier AI models.

Losing its protection

Assessed 21 July 2026 · Evidence as of 21 July 2026

The structural protection is eroding.

On the recordSince 21 July 2026 · Checkable from 2026 · Every call on the record Checkpoint: Next funding round or update on secondary-market valuation versus the $1.3B primary mark

The call

Snorkel AI has real enterprise footholds but is betting its future on frontier-lab data work just as Meta's Scale AI move shows how fast that market can shift.

Snorkel AI builds software that helps companies label and prepare data for AI training, especially for regulated industries like finance and healthcare where careful record-keeping matters. The company is hard to replace in those industries because it understands compliance rules and leaves audit trails, but AI models are getting better at labeling data automatically, and big labs like Meta are now buying companies like Scale AI to handle data work themselves instead of paying outside vendors. The one thing that could turn this around is if frontier labs decide they would rather buy Snorkel's data services long-term than build everything in-house, but the August 2025 stock crash and September layoffs suggest investors are skeptical that deal will happen.

Why

AI pressure: Foundation models and frontier labs internalizing data labeling and evaluation work. Frontier labs building in-house eval and expert-data teams shrinks the need to pay Snorkel for the same work. Could AI do the core job? Only partly.

Bigger players: Meta (via its Scale AI stake). Meta took a 49% stake in Scale AI in June 2025, and Scale then lost Google, OpenAI, Microsoft and xAI as customers, a warning sign for any labeling vendor. Could a giant copy it? Probably.

What protects it. Deep enterprise footprint in regulated industries (7 of top 10 US banks) that need audit trails and compliance-grade labeling, not just raw annotation.

What would change this call

Snorkel raises a new funding round at up, flat, or down valuation versus the $1.3B Series D. Shows whether investors believe the frontier-lab data pivot is working.
Snorkel announces further layoffs beyond the September 2025 13% cut. Would indicate the data-as-a-service pivot is underperforming financially.
A hyperscaler or frontier lab acquires or exclusively locks in Surge AI, Labelbox, or SuperAnnotate. Would show consolidation pressure spreading beyond Scale AI to Snorkel's remaining peer set.

Key numbers

Series D: $100M at $1.3B valuation (2025-05-29)
Secondary markdown to ~$0.7B, down 46% (2025-08)
Laid off ~13% of staff (~31 people) (2025-09)

Named risks

September 2025 workforce cut of 13% during unproven pivot to frontier-lab data services. Severity: high
Core weak-supervision labeling product commoditized by foundation models' zero-shot labeling. Severity: high
New frontier-lab strategy depends on labs not building in-house data and eval infrastructure. Severity: medium
Hyperscaler consolidation, as with Meta's 2025-06 Scale AI stake, could similarly disrupt Snorkel's client base. Severity: medium

Rivals, as read in July 2026

Rival	Direction	Evidence
Scale AI	contesting	Meta took 49% stake in Scale AI in 2025-06, reshuffling the whole training-data vendor landscape
Surge AI	losing to	Surge AI reportedly undercutting on pricing and benefiting from Scale AI customer exodus after 2025-06 Meta deal
Labelbox	contesting	Labelbox positioned as UI-centric platform rival in same enterprise labeling and evaluation market
Frontier AI labs building in-house eval teams	losing to	Structural threat that labs internalize data and evaluation work Snorkel currently sells as a service

Questions people ask

Is Snorkel AI profitable in 2026?: Snorkel AI has not disclosed profitability figures. It raised a $100M Series D at a $1.3B valuation on May 29, 2025, then cut about 13% of its workforce in September 2025 during a strategic pivot toward frontier-lab data services, a pattern more consistent with cash burn than confirmed profitability.
Did Snorkel AI have layoffs?: Yes. Around September 2025, Snorkel AI cut roughly 13% of its workforce, about 31 of some 240 employees, concentrated in software engineering, as it pivoted toward a Data-as-a-Service model serving frontier AI labs, per a report dated 2026-07-14.
Who are Snorkel AI's biggest competitors?: Snorkel AI competes with Scale AI, Surge AI, and Labelbox in AI training data. In June 2025 Meta took a 49% stake in Scale AI, reportedly causing Scale to lose Google, OpenAI, Microsoft and xAI as customers and reshuffling the entire training-data sector.
Could AI replace Snorkel AI's core product?: Partly. Snorkel AI's original programmatic labeling and weak-supervision tooling is increasingly commoditized as foundation models handle zero-shot labeling themselves, pushing the company in May 2025 to launch Snorkel Evaluate and Expert Data-as-a-Service to serve frontier AI labs instead.
What is Snorkel AI's valuation?: Snorkel AI raised a $100M Series D on May 29, 2025 at a $1.3B valuation, led by Addition with Prosperity 7 Ventures, Greylock, Lightspeed, BNY and QBE Ventures, bringing its total funding raised since 2019 to $237M.
Who owns Snorkel AI?: Snorkel AI is a private, venture-backed company with no parent. It was founded by Alexander Ratner, Christopher Ré, Braden Hancock, Henry Ehrenberg and Paroma Varma, spun out of the Stanford AI Lab, and incorporated in 2019.

Timeline

2026-07-08Published GDPval+ benchmark comparing Grok 4.5, GPT-5.5, Claude Opus 4.8 on professional tasks
2025-09Cut about 13% of workforce, engineering-heavy, amid pivot to Data-as-a-Service
2025-06Meta took 49% stake in Scale AI, reshuffling training-data industry
2025-05-29Raised $100M Series D at $1.3B valuation, launched Evaluate and Expert Data-as-a-Service
2021-08Raised $85M Series C at $1B valuation led by BlackRock and Addition
2021-04Raised $35M Series B led by Lightspeed
2019Snorkel AI incorporated, spun out of Stanford AI Lab

Revision history

21 July 2026

First assessed. Losing its protection. The text above is fixed as of this date and is not edited afterwards.

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