Product Information
What is Censius?
Censius is an AI visualization and model monitoring platform that assists teams in understanding, analyzing, and enhancing the real-world performance of AI models. It offers end-to-end visualization for both structured and unstructured production models and enables a proactive approach to model management.
How to use Censius?
To use Censius, follow these steps:
1. Integrate the SDK: Register models, log features, and capture predictions using Java and Python SDKs or the REST API.
2. Set up monitors: Choose from multiple monitoring configurations to track the entire machine learning pipeline.
3. Observe: Analyze model drift, determine the root cause of decisions, slice data into cohorts, gain visibility into model performance, build trust through explainability, and understand business ROI.
Core Functions of Censius
Automated Monitoring and Troubleshooting
Generative AI Monitoring
Model Monitoring for Outdated and Performance Improvements
Model Explainability for Complex Predictions
Censius Analysis for Evaluating Model Performance and Impact on Business Metrics
Usage Scenarios of Censius
- Detect and analyze model drift
- Conduct root cause analysis of model decisions
- Analyze cohort performance and ensure decision consistency
- Gain end-to-end visibility of model performance
- Build trust through model interpretability
- Understand the business ROI of machine learning models
- Monitor data quality and feature distribution
- Compare and evaluate multiple model versions
Common Questions about Censius
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