Perpetual ML
Perpetual ML Suite
The all-in-one, batteries-included studio for large-scale machine learning
Get the best predictive power in the shortest amount of time. Easily track and compare all your model experiments. Instantly deploy models for batch or real-time inference. Effortlessly monitor your metrics, data drift, and model drift. Continuously learn from real-time data. All from a single, intuitive web interface that integrates directly with your existing data warehouse.
Explore the Features

Auto Train

Automatically train models with PerpetualBooster which is the #1 algorithm on AutoML benchmark.

Continual Learning

Significantly cut your total training time from O(n^2) to O(n), where n represents the number of batches.

Experiment Tracking

Easily track, compare, and reproduce all your Auto Train experiments in a single, organized place.

Model Registry

A secure, version-controlled repository to store, manage, and share production-ready models, enabling seamless collaboration across your organization.

Monitoring

Effortlessly monitor metrics, data drift and model drift without the need for retraining or ground truth to proactively detect and respond to changes in your data environment.

Deployment

Seamlessly deploy your trained models for batch and real-time inference, all from a unified platform that simplifies the transition from development to production.

Marimo Notebooks

Streamline your data exploration and model development workflows with a reactive and collaborative notebook environment.

Compute

Efficiently manage your computing resources by directly controlling compute pools and warehouses, allowing you to scale up or down based on your specific workload demands.

Data Platform Native

Seamlessly connect to your existing data infrastructure with native integrations for Snowflake and upcoming support for Databricks, allowing you to work directly with your data without complex setup.

See it in Action
Perpetual ML Action Logo

We believe that instead of creating another silo, your machine learning workflows should live with your data. Perpetual ML takes full advantage of the centralized value of your data cloud by integrating directly with it.

Because Perpetual ML is natively integrated with Snowflake, your data never leaves your data warehouse. You get the same security and governance policies, but with a new and powerful set of tools for building, deploying, and managing your ML models.

View on Snowflake Marketplace