Snorkel AI B2B Case Studies & Customer Successes

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Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.

Case Studies

Showing 30 Snorkel AI Customer Success Stories

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Apple achieves up to 2.9× fewer errors and a 12%+ F1 improvement with Snorkel AI

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How a big four consulting firm used NLP to monitor news for audits with Snorkel Flow

How Experian improved agent response times under 3 seconds with Snorkel Evaluate

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How an F500 telecom uses Snorkel AI to measure and improve virtual assistant CX

Fortune 50 Bank achieves 25+ point performance gain in news analytics with Snorkel AI

Fortune 50 Bank achieves 25+ point performance gain and 90+ F1 in news analytics with Snorkel AI (Snorkel Flow)

Fortune 50 Bank - Customer Case Study

Fortune 500 Biotech Company achieves 99.1% extraction accuracy, $10M labeling savings and processing of 300K clinical‑trial documents in minutes with Snorkel AI

Fortune 500 Telecom Company achieves +25% accuracy and trains 200k labels in hours with Snorkel AI

How Georgetown University’s CSET uses Snorkel Flow to build NLP applications to inform policy research

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Georgetown University’s CSET achieves 85% classification accuracy and 50% faster labeling with Snorkel AI

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Consulting giant eliminates a year of labeling time with Snorkel

How a global custodial bank automated KYC verification with Snorkel Flow

Global Financial Services Leader achieves 99% PDF financial-data extraction accuracy with Snorkel AI (Snorkel Flow)

Top Global Insurance achieves 94% F1 accuracy and 10x reduction in labeling costs with Snorkel AI

Google achieves replacement of 100K+ hand labels and a 52% performance boost with Snorkel AI

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Intel achieves faster, lower-cost social media monitoring and +18.5% performance with Snorkel AI

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How Memorial Sloan Kettering Cancer Center (MSKCC) used Snorkel Flow to scale clinical trial screening

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How Pixability uses foundation models to accelerate NLP application development by months

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Pixability achieves 90% accuracy on large-scale multi-class NLP for optimized video ad targeting with Snorkel AI

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How Rox achieved 99% Accuracy with Snorkel Evaluate

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How Schlumberger uses Snorkel Flow to enhance proactive well management

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How SLB uses Snorkel Flow to enhance proactive well management

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Stanford Medicine achieves 50K+ images labeled in minutes, replacing person‑years of manual labeling with Snorkel AI

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Tide achieves 97.6% invoice-to-transaction matching accuracy and saves 1,000 hours of manual labeling with Snorkel AI

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Top 3 US Bank achieves 2,000+ hours/year savings for financial analysts with Snorkel AI

Top 5 Pharmaceutical Company processes 300K clinical trial documents in minutes, saves $10M, and achieves 99.1% accuracy with Snorkel AI

Top U.S. Bank achieves 99.1% accuracy and rapid document AI deployment (under 24 hours, 250K+ docs) with Snorkel AI

How Wayfair accelerated product tagging automation with Snorkel Flow

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Wayfair accelerates product tagging with Snorkel Flow 10x faster labeling

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