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Description
Censius is an AI observability and model monitoring platform that helps teams understand, analyze, and optimize the performance of AI models. It offers a single platform for enterprise-level observability, allowing users to compare different model versions, validate model performance, automate post-production workflows, monitor models for drifts, explain complex decisions to customers, and perform root cause analysis. Unique features include generative AI monitoring, model monitoring, explainability, and Censius Analytics for gauging model performance and its impact on business metrics. The platform is aimed at machine learning engineers, product and business stakeholders, and data scientists, enabling them to detect model drifts, gain visibility into model performance, build trust with explainability, study business ROI, monitor data quality, understand feature distribution, and compare model versions. Testimonials from users highlight the platform"s thoroughness, ease of use, and time-saving benefits. Censius can be seamlessly integrated into Java and Python SDKs or REST API and deployed on the cloud or on-premise.
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