Eizen Observability

ML Observability platform for observing and optimizing machine learning models in production

Eizen Observability is an ML Observability platform for business managers and ML practitioners to observe and optimize their machine Learning models in production.

Machine learning observability is the process of understanding the model’s behavior and performance throughout its lifecycle.

The Eizen Observability platform records the model's data in real time for monitoring and detecting any anomalies in the data in production, explainable AI for model explainability, and optimizes model performance by automating the retraining process.

Eizen Observability platform can help you in -

  • Analyzing model’s performance in real time

  • Compare the performance of the model with different metrics and time periods

  • Checking data drift in real time and notify the user when a drift is detected

  • Retraining modes to automate the retraining process and optimize the model’s performance

  • Explainable AI for explaining predictions to build trust

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