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Should I use Snorkel?

Expert data development for frontier AI - snorkel.ai

Depends. Buy only if you run a serious ML organization that needs expert-in-the-loop training data at scale and can stomach sales-led pricing. Small teams, startups, or anyone using off-the-shelf model APIs should skip it.

Confidence

Medium. Based on ~16 public sources specific to Snorkel AI; many search results were unrelated snorkeling gear and tour pages and were excluded.

Ratings

  • Value for moneyNo public pricing evidence
  • Ease of use
  • Feature depth
  • Support qualityNo support evidence found
  • Security posture

Pricing

Not disclosed

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • Enterprise ML teams building custom models
  • Frontier labs needing expert-labeled training data
  • Government and defense AI programs
  • Teams drowning in manual labeling

Not for

  • Small teams that just need a few thousand labeled rows
  • Anyone fine with off-the-shelf model APIs
  • Buyers wanting self-serve pricing without a sales call
  • Teams without dedicated ML engineers

Gotchas - check before you buy

high

CVE-2026-31222: remote code execution via unsafe in open-source snorkel; patch before deploying

medium

No pricing found in any reviewed source; expect quote-based contracts and a sales cycle

medium

Layoffs after a $100M raise signal a pivot toward data-as-a-service

Pros and cons

Pros

  • Purpose-built expert data development platform for frontier AI
  • Valued at $3.5B amid surging demand for AI training data
  • $100M Series D funded an expanded expert-data platform
  • Named customer Experian improved agent workflows with Snorkel
  • Client case study: 96% content-filtering recall in 3 days

Cons

  • No public pricing; sales-led enterprise motion
  • Laid off 13% of workforce after its $100M raise
  • Open-source snorkel library carries deserialization CVEs, including RCE
  • Positioned for enterprises; heavy lift for smaller ML teams

Sources & method

Analyzed 9/26/2026 - 16 sources - Hosted platform runs a SafeBase trust center and fields a security team; the open-source snorkel Python library has three 2026 deserialization CVEs, including an RCE.

official x7review x3security x3news x3
  • CVE-2026-31222: Snorkel Trainer.load unsafe torch.load (RCE), Insecure deserialization in the open-source snorkel library; crafted files can trigger remote code execution.
  • CVE-2026-31223: Snorkel insecure deserialization, Deserialization flaw in the snorkel package, documented by NVD and SentinelOne.
  • CVE-2026-31224: Snorkel Torch insecure deserialization, Related torch deserialization issue in the snorkel package.

Key stats

  • Ease of use: 4/5

    Rating

  • Not disclosed

    Starting price

  • 16

    Sources

  • Analyzed

  • Value for money. No public pricing evidence
  • Ease of use: 4/5. G2 users praise Snorkel Flow
  • Feature depth: 4/5. Broad expert-data platform; frontier-AI focused
  • Support quality. No support evidence found
  • Security posture: 3/5. Trust center exists; open-source lib has CVEs
  • $3.5B Valuation Reuters, Sept 2026
  • $100M Series D Funding May 2025
  • 3 Open-source CVEs snorkel library, 2026
  • 13% of staff Layoffs after the $100M raise

Pricing

Not disclosed

Security

Hosted platform runs a SafeBase trust center and fields a security team; the open-source snorkel Python library has three 2026 deserialization CVEs, including an RCE.

  • CVE-2026-31222: Snorkel Trainer.load unsafe torch.load (RCE)Insecure deserialization in the open-source snorkel library; crafted files can trigger remote code execution.14
  • CVE-2026-31223: Snorkel insecure deserializationDeserialization flaw in the snorkel package, documented by NVD and SentinelOne.15
  • CVE-2026-31224: Snorkel Torch insecure deserializationRelated torch deserialization issue in the snorkel package.

What users say

G2 reviews of Snorkel Flow are positive but thin, and the 2026 eesel review frames it squarely as an enterprise tool.

“I like how Snorkel Flow”
G2 review

Companies that use it

  • Experian³
  • Turntide11
  • Defense Innovation Unit (DIU)12
  • Google (Snorkel DryBell deployment)13
Full analysis

Based on ~16 public sources specific to Snorkel AI; many search results were unrelated snorkeling gear and tour pages and were excluded.

Enterprise AI training-data platform. Built for frontier-scale ML teams; overkill for small labeling jobs.

Methodology

Based on ~16 public sources specific to Snorkel AI; many search results were unrelated snorkeling gear and tour pages and were excluded.

Sources

  1. Snorkel AI homepagesnorkel.ai
    official
  2. Snork AI company pagesnorkel.ai
    official
  3. Enterprise storiessnorkel.ai
    official
  4. Reuters: Snorkel AI valued at $3.5Breuters.com
    news
  5. BusinessWire: $100M Series Dbusinesswire.com
    news
  6. LinkedIn: 13% layoffs after raiselinkedin.com
    news
  7. G2: Snorkel Flow reviewsg2.com
    review
  8. eesel: Snorkel AI review 2026eesel.ai
    review
  9. eesel: Snorkel AI alternativeseesel.ai
    review
  10. Snorkel blog: 96% recall case studysnorkel.ai
    official
  11. Turntide case studyturntide.com
    official
  12. Carahsoft: DIU case studycarahsoft.com
    official
  13. Snorkel DryBell paper (Google deployment)pmc.ncbi.nlm.nih.gov
    official
  14. GHSA: Snorkel unsafe torch.loadgithub.com
    security
  15. NVD: CVE-2026-31223nvd.nist.gov
    security
  16. Snorkel AI Security Portal (SafeBase)security.snorkel.ai
    security

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