Focus on one single metric to know how your model is performing. And get alerted when the performance drops.
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.
Tie the performance of your model to monetary or business oriented outcomes. So that you always know what your ML brings to the table.
Traditional ML monitoring tend to overwhelm teams with many false alarms. By focusing on what matters NannyML alerts are always meaningful.
Understand the root cause of the performance drop in a matter of minutes. Use advanced tools at your disposal.
Our univariate drift detection methods allow to perform a granular investigation across the model's features.
Our multivariate drift detection method uncover changes
that univariate approaches cannot detect. Such as changes in the linear relationships between features. So with one single method you can know if the general distribution of the feature space has changed.
NannyML links data drift alerts with the performance changes. So you can easily detect which features are causing the performances issues.
No more sleepless nights without knowing how your models
are doing.
