NannyML Cloud is a web-based solution for monitoring machine learning models. It is based on the open-source NannyML python library. With NannyML you can: monitor what matters, find what is broken and fix it. Everything, without ground truth.

Monitor what matters Focus on one single metric to know how your model is performing and get alerted when the performance drops.

• Estimate model performance - Know the performance of your ML models 24/7. NannyML estimates the performance of your ML models. Even if the ground truth is delayed or absent.
• Measure the business impact of your models - Tie the performance of your model to monetary or business oriented outcomes. So that you always know what your ML brings to the table.
• Avoid alert fatigue - Traditional ML monitoring tend to overwhelm teams with many false alarms. By focusing on what matters NannyML alerts are always meaningful.

Find what is broken

• Root Cause Analysis - Our univariate drift detection methods allow to perform a granular investigation across the model's features.
• Uncover the most subtle changes in the data structure - Leverage multivariate drift detection method uncover changes that univariate approaches cannot detect.
• Intelligent alert ranking - NannyML links back data drift alerts to changes in the model performance. So you can easily detect which features are causing the performances issues.