The data-centric AI platform
Bring high-quality models to production faster with Snorkel Flow’s data-centric AI workflow. Accelerate AI development with programmatic labeling, rapid training data and model iteration, enhanced domain expert collaboration, and breakthrough application of all available knowledge—including the latest foundation models.
Automate data labeling
Top US bank labeled 250K loan documents programmatically in under 24 hours.
Train and analyze models
Memorial Sloan Kettering achieved 93% accuracy with rapid training data and model iteration.
Leverage foundation models
Pixability distilled knowledge from foundation models and built a smaller deployment model with 90% accuracy in days.
Get more from domain expert partnership
Global custodian bank saved 10,000 hours of investment managers' time by improving collaboration.
Enterprise proven and ready
Quickly and securely integrate to data pipelines or upload data locally.
Train custom models or choose from leading model frameworks with optional AutoML.
Deploy your models within Snorkel Flow or export to the service of your choice.
Host Snorkel Flow within the secure infrastructure of your choice.
Deep platform support for complex ML tasks and data types
Build powerful AI solutions to handle real-world tasks over complex data types. Combine ML tasks for multi-model applications across a range of complex data types and formats.
Structured data classification
Supported data types
Semi-structured/ tabular data
Accelerate AI development by 10-100x
Snorkel AI accelerates AI development for Fortune 500 enterprises, government agencies, and other AI innovators from months to minutes.
Deputy CIO and VP of Digital Solutions
CTO, Azure AI
Head of Science Technology Innovation Center
Principal Data Scientist
70+ research publications on data-centric AI
Snorkel AI started as a research project at the Stanford AI Lab in 2015. Our founding team has spent over half a decade exploring programmatic labeling, weak supervision, and other data-centric AI techniques resulting in the Snorkel Research Project and 70+ peer-reviewed publications. We continue to invest in research with our academic partners, frequently publish in prominent journals, and productionize new advances in Snorkel Flow.