Automated MLOps Platform

Predict and Manage models at scale

One-click model deployment

Deploy models from a Jupyter notebook or IDE to production in just a few clicks and continuously monitor model performance and mitigate model drift. Automatic best ML model selection for the experiment to derive the best business result.

CI/CD CT/CM for ML

Continuously develop and deploy models to production iteratively quickly and easily. Run experiments with automated tracking, data versioning, and continuous integration/continuous deployment (CI/CD), continuous training/continuous monitoring (CT/CM) support.

Single pane to monitor data and models

Manage, govern and monitor your data and models in production with a simple dashboard. Easily monitor your models in production, automate drift detection to keep your models optimized and accurate in changing environments.