Inspect and adapt across your pipeline
In Snorkel Flow you build more than a model. Use the visual builder to combine pre- and post-processing operators, models, and business logic.
Gain visibility into each step of your pipeline so you can, easily debug and experiment to optimize end-to-end application quality.
Get from development to production
We make it simple to ship AI to production for real-world impact that you can maintain in the face of real-world changes.Package applications into servable frameworks with a single click and deploy on the production infrastructure of your choice.
Respond easily to inevitable changes
Solve model degradation, update label schemas, and reflect business goal changes with simple labeling function updates.
Snorkel Flow regenerates your entire training set so you’re ready to retrain your model in minutes.
Platform adaptation capabilities
Production data analysis
Integrate with your production systems via API to spot data drift and take action in Snorkel Flow.
Flexible label schema
Adapt label schema and update applications with labeling function edits, not manual relabeling.
Data distribution adaptability
Receive guided suggestions to efficiently adapt ML applications to changing data distributions.
Drill into specific slices for model performance and get clear guidance feedback to improve.
Standard export formats
Export applications as pre-packaged artifacts that can be deployed to any of the major model platforms.
Run sample data in a test environment to spot check performance of models in your pipeline.
Robust API integrations
Import production data from deployed models using REST APIs to analyze model performance.
Closed loop development
Inspect errors, iterate on training data, and retrain models within one platform.
Are you ready to dive in?
Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
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The Future of Data-Centric AI
June 7-8, 2023
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