The AI Observability Platform for Enterprises
Empower ML teams to manage hundreds of models in production through seamless collaboration, scalability, and security
Complete visibility of your ML Pipeline
Unify your customer’s touch points across all platforms and channels. Understand your customer journey.
Scale ML monitoring across multiple models and model versions
Democratize AI across the organization by enabling visibility to all
Have complete control over the data with access management and audit logs
Automated monitoring at scale
One or hundred - monitor multiple models and model versions across projects. Confidently scale ML with the ability to have complete visibility across all models.
Measure performance of 100+ models in real-time
Identify best performing model versions
Automatically detect and fix stale models
Flexible to fit into any ML stack
Easy integration into workflows without disturbing or modifying the ML stack. Plug Censius into any ML stack irrespective of the platform, model, and infrastructure.
Integrate with various ML platforms and models
Receive performance alerts on preferred channels
Host on the cloud, hybrid, or on-prem
Achieve model excellence faster, together
Models are built by teams, not individuals. Ensure every team involved in building a model has access to its working and absolute clarity on its performance.
Secure and organize model data with user management
Setup role-based performance views to measure what matters
Quantify model ROI with shareable reports to leaders
Powerful protection for every model
All models and the data accessed by Censius adhere to the standard security measures of cloud providers. We practice industry-standard SSL network encryption for accessing data.
Selective data access to admins using IAM
Visibility to audit logs that track the access of every resource
No data leaves the private cloud for on-prem deployments
What people are saying
I found Censius monitors to be thorough and easy to use with a good range of flexibility for both generic and specific monitoring needs. This adds velocity to AI solutions.
Censius provides transparency into the model decisions with its monitors and dashboard reports, cutting down the to-and-fro iterations. This saves a lot of time and effort.
Censius helps know if, when, and why the model has degraded and if it requires training. The continuous monitors are very convenient for clients as well as other stakeholders.
Censius has been really well built, and by using this we can definitely monitor all ML-based metrics. I see the value of leveraging it at the tail end of our ML life cycle.