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Introducing the Censius AI Observability Platform.

The Censius AI Observability Platform provides control over model behavior in production and transparency in its decision-making. The platform enables businesses to keep track of their whole machine learning pipeline, explain predictions, and address problems before they become a problem, resulting in a better business outcome. It automates the monitoring of live models, allowing data scientists, machine learning engineers, and business leaders to focus on growing their company through superior insight.

The platform protects models from silent degradation caused by drifts, outliers, bias, and model failure, leading to poor business outcomes. It also examines the performance of different versions of a model distributed across many environments. Its user-friendly interface enables teams to comprehend models in real-time and analyze them for specific concerns.

Feature List
Monitor and data checks

Continuously monitor model inputs & outputs
Track for prediction, data, and concept drift
Check for data integrity across the pipeline
Receive real-time alerts for monitoring violations

Model health

Track performance across model versions
Evaluate performance without ground-truth
Compare a model’s historical performance
Set up fully customized dashboards

Explainability

Understand the “why” behind model decisions
Improve performance for specific cohorts
Detect unwanted bias and fix models
Ensure that models stay compliant

Platform agnostic

Any platform | Any Model | Any infrastructure

Learn more about the platform: https://censius.ai/platform
Get access to the Censius AI Observability Platform: https://censius.ai/get-started

Be abreast with the most popular MLOps tools in the industry: https://censius.ai/mlops-tools
Get the hang of the latest MLOps and Observability lingo: https://censius.ai/wiki
Be up to date with the best content in MLOps and AI Observability: https://censius.ai/blogs