Perpetual ML
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Introduction
Perpetual ML is a unified ML studio for solo devs and data science teams, offering auto-train, continual learning, monitoring, and deployment.
Listed on
July 23, 2026
What is Perpetual ML?
Perpetual ML is a unified, batteries-included ML studio that integrates directly with your data warehouse (e.g., Snowflake). It provides a single web interface for training, tracking, deploying, and monitoring machine learning models, with features like auto-train using PerpetualBooster, continual learning, and optimal business decisioning.
How to use Perpetual ML?
- To use Perpetual ML, sign up for an account, connect your data warehouse (e.g., Snowflake), and use the web interface to auto-train models, track experiments, deploy for batch or real-time inference, and monitor metrics and drift. You can also use Marimo notebooks for data exploration and model development.
Core features of Perpetual ML
- Auto Train with PerpetualBooster (top AutoML algorithm)
- Continual Learning (O(n) training time)
- Optimal Business Decisioning (optimize user-defined objectives)
- Experiment Tracking
- Model Registry (version-controlled repository)
- Monitoring (metrics, data drift, model drift)
- Deployment (batch and real-time inference)
- Marimo Notebooks (reactive and collaborative)
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