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.
Description
how to use:
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.
Core freatures:
Automated monitoring and troubleshootingGenerative AI monitoringModel monitoring for resolving staleness and improving performanceModel explainability for complex predictionsCensius Analytics for gauging model performance and impact on business metrics
Use case:
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
FAQ list:
Reviews
There are no reviews yet.