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.
Fortune 500 organizations have accelerated their AI development by 10-100x using Snorkel Flow while reducing costs and keeping their data private.
“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”
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.
Label programmatically using no-code UI or Python SDK
Label at scale by leveraging domain experts’ knowledge
Explore and audit training datasets with ease
Label any type of data - text, documents, pdfs, html, and more
Label confidently with guided data iteration
Export data or deploy applications with fully-trained models
Label privately by keeping sensitive data in-house
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.