Build specialized AI with your data and expertise—100x faster

Unlock the power of programmatic AI data development to build production AI applications with Snorkel Flow—the AI data development platform.

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Developed at the Stanford AI Lab and trusted by world-leading organizations

Accelerate the development of your AI application

Create domain-specific LLM evaluations

Move beyond “vibe checks” with domain- and task-specific LLM evaluations which provide more granular and insightful metrics than off-the-shelf benchmarks and take into account your unique business policies and standards.

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The Snorkel Flow AI data development platform

Snorkel Flow provides data scientists and subject matter experts with a collaborative platform for capturing domain knowledge, using it to label entire datasets or generate synthetic ones, and to quickly iterate on training data and model development via built-in guided error analysis and model evaluation.

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Trusted by world-leading data science teams

93%

Model accuracy 
with just a few labeling functions

“We accurately labeled a few thousand pathology reports with one domain expert in days versus weeks using Snorkel Flow.”

Janet Mak
Deputy CIO and VP of Digital Solutions

85%

accuracy
on a classification model within days

“With Snorkel Flow, we cut labeling time and significantly accelerated model development when delivering NLP solutions.”

Catherine Aiken
CSET Director of Data Science and Research

Research with real-world impact

Snorkel began in 2015 as the Snorkel Research project at the Stanford AI lab in collaboration with Google, Intel, DARPA, and other leading organizations. The Snorkel AI team and affiliated researchers have been at the cutting ege of AI with over 170 published peer-reviewed research papers with special recognition at events such as NeurIPS, ICML, and ICLR.

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Seamless interoperability with your tech stack.

Snorkel Flow is an integration-first platform that works with your existing AI/ML stack so you can continue to use the technologies you know and trust.

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