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Automate training
data annotation

Create large, high-quality training datasets in minutes using programmatic labeling. No more manual labeling and annotation.
No more waiting for training data.

Technology developed at the Stanford AI Lab and deployed at world-leading organizations.
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Fortune 500 organizations have accelerated their AI development by 10-100x using Snorkel Flow while reducing costs and keeping their data private.
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“We are leveraging modern data-centric AI approaches, using generative learning with weak supervision, for machine labeling of data…we could accurately label a few thousand pathology reports (95% accuracy, 85% precision) using one SME in days versus weeks”
Janet Mak
Deputy CIO and VP of Digital Solutions

Unblock your AI project with rapid data labeling

Snorkel Flow is a new kind of AI platform that combines advances in weak supervision with data-centric development workflow to get you not only annotated data, fast, but also build accurate and adaptable AI applications in-platform.
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Label programmatically using no-code UI or Python SDK
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Label at scale by leveraging domain experts’ knowledge
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Explore and audit training datasets with ease
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Label any type of data - text, documents, pdfs, html, and more
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Label confidently with guided data iteration
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Export data or deploy applications with fully-trained models
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Label privately by keeping sensitive data in-house
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Adapt to changes without wholesale relabeling

Flexible and enterprise-ready

Snorkel Flow is fully interoperable to work seamlessly with your existing ML stack, with Python SDK throughout. Access everything you need–never locked out, never blocked in.
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FAQ

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See Snorkel in action

Learn how Snorkel Flow can help you accelerate your data labeling and AI application development.
Request a demo
Watch an overview video