Censius

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Censius
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Proactive ML monitoring tool

Censius is an AI observability platform that offers end-to-end monitoring and troubleshooting for machine learning models throughout their lifecycle. The platform helps organizations build reliable models by proactively monitoring entire pipelines, detecting and fixing issues such as data integrity and quality issues, and explaining decisions to customers with transparency. With Censius, users can automate post-production workflows, collect traffic and metadata logs, and analyze model performance through root cause analysis and visualizations. Censius seamlessly integrates through Java and Python SDKs or REST API, and can be deployed on cloud or on-premise. Censius aims to provide observability for everyone, with features that can help machine learning engineers detect and analyze model drifts and get root cause analysis of decisions.

Features:
- End-to-end monitoring and troubleshooting for machine learning models
- Proactively monitor entire pipelines and detect and fix issues
- Explain decisions with transparency
- Automate post-production workflows and collect logs
- Analyze model performance through root cause analysis and visualizations
- Seamlessly integrate through Java and Python SDKs or REST API
- Can be deployed on cloud or on-premise
- Helps machine learning engineers detect and analyze model drifts
- Get root cause analysis of model decisions
- Aimed to provide observability for everyone
AI Machine learning Monitoring Observability Data integrity

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