21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T6df,

What is Censius AI Observability Platform?

Censius is an AI Observability Platform that helps organizations confidently make their machine learning models work in production. It provides a comprehensive ML monitoring solution to proactively monitor entire ML pipelines, detecting and fixing issues like drift, skew, data integrity, and data quality problems. The platform helps teams understand, analyze, and improve the real-world performance of AI models, offering end-to-end visibility of structured and unstructured production models.

How to use Censius AI Observability Platform?

Integrate Censius through Java & Python SDKs or REST API, deploy on cloud or on-premise, register models, log features, set up monitors, and observe model performance in dashboards.

Censius AI Observability Platform's Core Features

AI Observability

Model Monitoring

Explainability

Generative AI Monitoring

Data Quality Checks

Root Cause Analysis

Real-time Alerts

Customizable Dashboards

Censius AI Observability Platform's Use Cases

#1 Monitor model performance for drifts and outliers.

#2 Explain complex model predictions to stakeholders.

#3 Analyze feature distribution to improve model output.

#4 Compare different model versions to identify the best performing ones.

#5 Monitor unstructured mode

Censius AI Observability Platform

📋Introduction

User Rating