Train and analyze models to improve data quality and model performance
Use actionable, prescriptive analysis to iterate strategically and rapidly improve training data and models.
Request a demo
Get immediate data
quality feedback
As you label your data, Snorkel Flow automatically retrains models to provide real-time analysis of both your model and (crucially) your training data quality.
Improve with targeted iteration
Reach performance goals faster by focusing on the slices of your data that are most important to act on. Use auto-generated suggestions and active learning to iterate intelligently.
Flexible model training
Train leading model architectures without code or use the Python SDK to train custom models on your own infrastructure and bring predictions back to Snorkel Flow for analysis.
Modular, adaptable pipelines
In Snorkel Flow you have the flexibility to build more than a model. 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.
Platform labeling capabilities
Integrated model zoo
Train preconfigured, state-of-the-art ML models for a range of modeling tasks with a single click.
AutoML
Automate selecting the best algorithm and hyperparameters for your problem.
Guided iteration
Use suggested actions from error analysis to focus your efforts where you can make the greatest impact.
Custom model flexibility
Easily integrate with your existing models and inference infrastructure using our Python SDK.
Active learning
Use model guidance to prioritize programmatic labeling effort against the highest-impact slices of data.
Auto-generated visualizations
Understand model performance with auto-generated, interactive plots and analyses (no code needed).
Slice-based analyses
Identify, analyze, and improve data slices through collaboration workflows with domain experts.
Automated model updates
Get rapid feedback on training AI development from automatically retrained models and updated analyses.
Learn more
Are you ready to dive in?
Label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly—all in one platform.
Request a demo
