Censius AI Observability Platform

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

• Monitor model performance for drifts and outliers.
• Explain complex model predictions to stakeholders.
• Analyze feature distribution to improve model output.
• Compare different model versions to identify the best performing ones.
• Monitor unstructured model issues to proactively troubleshoot and optimize for peak performance.