Who it is built for
- Data scientists analyzing production model behavior
- Machine learning engineers troubleshooting ML pipelines
- Teams monitoring deployed models for drift and performance issues
Monitor, analyze, explain, and debug production ML models
Censius is an AI observability platform for machine learning teams monitoring production models. It brings together model details, input data, logs, and monitoring insights to identify performance, drift, data quality, and bias issues, then guide root cause analysis and remediation.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Censius supports performance, data quality, and drift monitors across models and model versions, with alerts for violations.
The platform provides a guided roadmap for locating root causes of model issues and troubleshooting them.
Teams can analyze monitoring and root cause findings through customizable dashboards for improving model versions.
Create a project for a model use case, upload the associated dataset, and register the model through the UI or API. Censius auto-initializes monitors using the training data, then surfaces violations and analysis for investigation.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.