Snorkel AI is a Gartner Cool Vendor for Data-Centric AI.
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Product
PRODUCT
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Snorkel Flow
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Accelerate AI development with the data-centric platform powered by programmatic labeling.
Data labeling
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Label programmatically by distilling expertise into functions that power intelligent auto-labeling.
Model training and analysis
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Continuously update and analyze models to guide rapid iteration and improvement.
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Foundation models
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Bridge adaptation and deployment gaps to use foundation models for enterprise production use cases.
Enterprise
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Benefit from enterprise-grade interoperability, security, expertise, and more.
Solutions
Solutions
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Selected industry use cases
AI for banking
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Personalize customer interactions, manage risk, and improve resource utilization.
AI for healthcare
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Speed clinical trial success, improve patient outcomes, and enhance research.
AI for government
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Build machine learning models and AI applications across a wide variety of missions and use cases.
AI for insurance
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Detect fraud, speed claims processing, and improve underwriting workflows.
AI for telecom
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Assess network health, tailor customer support, and detect security risks.
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Selected AI applications
Document classification
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Improve performance by exploiting features unique to your data with custom classification apps.
Named entity recognition
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Solve domain-specific syntactic and semantic challenges with precise NER apps.
Information extraction
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Collect useful text and data from virtually any table or form with flexible extraction apps.
Conversational AI
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Automate responses to customer inquiries to improve efficiency and customer satisfaction.
Sentiment analysis
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Tackle complex NLP challenges with nuanced sentiment analysis apps.
Technology
TECHNOLOGY
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Data-centric AI
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Learn about the impact of moving from model-centric to data-centric AI.
Weak supervision
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Explore weak supervision approaches and how they accelerate training data creation.
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Programmatic labeling
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See how programmatic labeling breaks through the primary bottleneck facing AI.
Snorkel research project
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Read how Snorkel open source has advanced to production as the Snorkel Flow platform.
Case studies
CASE STUDIES
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Apple
Big four consulting firm
Fortune 50 bank
Fortune 500 telecom
Global custodian bank
Global financial services leader
Global insurance leader
Google
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Intel
Memorial Sloan Kettering Cancer Center
Schlumberger
Stanford Medicine
Tide
Top 5 Pharma
Top US bank
Resources
RESOURCES
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Blog
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Browse the latest posts from Snorkel AI experts, customers, and industry leaders.
Events
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Attend events to discover new ideas and make connections with AI/ML practitioners.
Frequently asked questions
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Explore frequently asked questions on scalable AI development, Snorkel AI, and Snorkel Flow
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Press
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Read the latest news about Snorkel AI and Snorkel Flow customers.
Research papers
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Explore 60+ peer-reviewed papers published as part of the Snorkel research project.
Company
COMPANY
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About us
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Snorkel AI is redefining how AI applications are built. Learn about our mission, team, and culture.
Careers
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We’re bringing together some of the best minds in AI and machine learning. Join us.
Partners
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We work with an innovative ecosystem of partners focused on delivering value through data-centric AI.
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Resources
Resources
Blog
Events
Press
Research papers
Search
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Blog
Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI
November 17, 2022
Alex Ratner
February 2, 2023
Building better datasets with Snorkel Flow error analysis
February 1, 2023
Seldon and Snorkel AI partner to advance data-centric AI
January 31, 2023
Accuracy top concern for Foundation Model adoption—Poll
January 27, 2023
Ford’s MetaPix Lead: Data for AI & AI for Data | FDCAI
January 26, 2023
How Foundation Models bolster programmatic labeling
January 25, 2023
Snorkel AI partners with Snowflake to bring data-centric AI to the Snowflake Data Cloud
January 20, 2023
Unmasking Trafficking Risk in Commercial Sex Supply Chains with Machine Learning
January 19, 2023
Prompting and weak supervision to build better, smaller models
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Events
NVIDIA GTC
March 24, 2022
EmTech Digital
February 7, 2022
FFDCAI
February 7, 2022
NVIDIA GTC
February 7, 2022
Deep Learning Summit
February 7, 2022
TMLS
November 12, 2021
Intel Innovation 2021
October 29, 2021
ODSC West
October 29, 2021
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Press
Snorkel Flow is now generally available
March 24, 2022
November 17, 2022
Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI
November 17, 2022
AI startup Snorkel preps a new kind of expert for enterprise AI
November 17, 2022
Snorkel dives into data labeling and foundation AI models
July 28, 2022
Here’s why a gold rush of NLP startups is about to arrive
June 16, 2022
Snorkel AI Named a 2022 Gartner® Cool Vendor
September 20, 2021
Snorkel AI Powers AI Data-Centric Solution for Chubb
August 11, 2021
Snorkel AI Scores $85 Million for AI Data-Prep Platform
August 11, 2021
Snorkel AI Raises $85 Million in Latest Funding Round
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Research papers
Snorkel: Rapid Training Data Creation With Weak Supervision
VLDB
April 28, 2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
April 28, 2022
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
April 5, 2022
Ontology-driven weak supervision for clinical entity classification in electronic health records
April 4, 2022
Universalizing Weak Supervision
April 2, 2022
Multitask prompted training enables zero-shot task generalization
April 1, 2022
Creating Training Sets via Weak Indirect Supervision
March 29, 2022
Efficiently Modeling Long Sequences with Structured State Spaces
March 28, 2022
Learning from Multiple Noisy Partial Labelers
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Are you ready to dive in?
Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
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