Rapid data annotation

Accelerate AI application development and data labeling from months to minutes with Snorkel Flow. Try it for free for 7 days.

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”

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.

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

Label faster

Adapt to changes without wholesale relabeling

Scale dramatically with a programmatic approach. Write labeling functions to capture diverse insights and inputs for labeling decisions.

Snorkel Flow then applies weak supervision to denoise and weight your LFs in order to auto-label massive training sets.

Label faster

Adapt to changes without  wholesale relabeling

Scale dramatically with a programmatic approach. Write labeling functions to capture diverse insights and inputs for labeling decisions.

Snorkel Flow then applies weak supervision to denoise and weight your LFs in order to auto-label massive training sets.

Label faster

Adapt to changes without  wholesale relabeling

Scale dramatically with a programmatic approach. Write labeling functions to capture diverse insights and inputs for labeling decisions.

Snorkel Flow then applies weak supervision to denoise and weight your LFs in order to auto-label massive training sets.

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.

FAQ

See Snorkel in action

Learn how Snorkel Flow can help you accelerate your data labeling and AI application development.

Request a demo