A SaaS ML monitoring and observability platform, built on top of Evidently open-source. Track and oversee all your ML models and datasets, hassle-free.
We are working on releasing a cloud ML observability platform. It will have all the capabilities of Evidently open-source and additional reliability, security, and collaboration features. And you will not have to worry about running it yourself – we’ll host it instead!
With open-source, you host Evidently on your infrastructure. With the cloud version, there are no complex deployment and maintenance needs. Sign up, connect your data, and observe your models in the web app.
We’ll meet your data where it is. With enterprise data source plugins, you can connect directly to data warehouses or object storage, where you keep your datasets and model prediction logs.
Make sure that actions are performed by authorized users. You can control who can access which model and customize permissions across teams.
Evidently Cloud will offer team workspaces, simplified report sharing, and alert management. Use it as a centralized hub to keep track of the model performance and collaborate to resolve issues.
Define metrics, checks, and dashboards programmatically – or drag-and-drop. Easily switch from the user interface to continue debugging in the Jupyter notebook.
Take advantage of all the evaluations and model types Evidently open-source supports. From data to model quality, from simple classification models to text data and LLMs.
Evidently covers the entire workflow from data testing to model performance troubleshooting. Gain end-to-end visibility and keep your metrics consistent across the ML lifecycle.
We'll notify you once Evidently Cloud is open to early testers.
Join the waitlist
