What is Censius?
Censius is an AI Observability and Model Monitoring Platform that helps teams understand, analyze, and improve the real-world performance of AI models. It offers end-to-end visibility of structured and unstructured production models and enables a proactive approach towards model management.
Censius's Tags
How to use Censius?
To use Censius, follow these steps:
1. Integrate SDK: Register models, log features, and capture predictions using a Java & Python SDK or REST API.
2. Set up monitors: Choose from dozens of monitor configurations to track the entire ML pipeline.
3. Observe: Analyze model drifts, identify root causes of decisions, slice data into cohorts, gain visibility of model performance, build trust with explainability, and understand business ROI.
Censius's Core Features
Automated monitoring and troubleshooting
Generative AI monitoring
Model monitoring for resolving staleness and improving performance
Model explainability for complex predictions
Censius Analytics for gauging model performance and impact on business metrics
Censius's Use Cases
Detect and analyze model drifts
Perform root cause analysis of model decisions
Analyze performance of cohorts and ensure decision consistency
Gain end-to-end visibility of model performance
Build trust with model explainability
Understand business ROI of ML models
Monitor data quality and feature distribution
Compare and evaluate multiple model versions
