Gantry is a continuous ML improvement platform. We help you figure out how your ML-powered product is really performing by enabling you to easily capture data going through your ML models in production. We then provide analysis and visualization tools to find ways to improve it, and help you operationalize those improvements.
Log inputs, outputs, predictions and feedback from your ML-powered product by adding a few lines of code.
Configure performance indicators for your models and establish baselines with analytics powered by our SDK and dashboard. Use our SDK and dashboard to discover user cohorts, data slices, and edge cases where your model is biased or underperforms in production.
In Gantry, every dashboard query is also available in our Pandas-like Python SDK , so you can continue to explore all of your production data in a Jupyter notebook.
Uncover a wide range of patterns in your text, images, or other messy data without writing code using our off-the-shelf Projections.
You can also extend Gantry with your own custom projections to build a monitoring and data analysis suite for your unique model.
Gantry allows you to compute performance indicators about data quality, data drift,model performance,
and user satisfaction.
You can set thresholds on those performance indicators to receive notifications, in Slack or via a generic webhook, about degradations. You get daily updates without configuring anything.
- Scalability. Gantry is built on cloud-native technologies and designed to scale to terabytes of data.
- Flexibility. Uncover a wide range of patterns in your text, images, or other messy data without writing code using our off-the-shelf projections.
- Extensibility. Extend Gantry with your own custom projections to build a monitoring and data analysis suite for your unique model.
- Security. Gantry is built with enterprise-grade authentication. We’re SOC 2 compliant.
Updated 26 days ago