Experience the new standard for post-deployment data science.
Without labels. Research Driven.
Crystal clear monitoring like never before.
Built around a Performance-Centric workflow, NannyML Cloud lets you monitor what truly matters, find what is broken and fix any issue.
Focus on one single metric to measure how your model is doing.
Get alerted when it drops.
Know the performance of your ML models 24/7. NannyML estimates the performance of your ML models taking into account historical model predictions and the current distribution of your data. All of this is possible even when 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 look for data drift which tends to overwhelm teams with many false alarms, because not all data drifts impact model performance.
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.
Measure the impact of concept drift on your model's performance. The presence of concept drift is the best trigger for model retraining, even better than realized performance alerts.
• Find both global and local changes in data structure using multivariate drift detection.
• Go on a granular investigation with univariate drift detection methods to determine which feature alerts are correlated with performance issues.
• Perform continuous data quality checks to ensure that the model inputs and outputs maintain high quality standards.
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.
Trigger a model retraining process when concept drift is detected, your estimated performance is degrading or when a heuristic rule between performance and covariate drift is met.
Leverage NannyML Cloud SDK to automate monitoring data ingestion.
Use all the insights learned from performance estimation, concept drift, and covariate shift results to implement the best resolution technique to your model performance issue.
Built on top Open Source nannyML.
NannyML Cloud solves all the infrastructure nuances. And brings extra capabilities to the table.
Start monitoring in minutes. Provide your model information, a reference and analysis set to understand how you model is doing.
Get access to nannyML's most powerful algorithm yet. Measure the impact of concept drift on your model's performance.
Safe and Secure. Your data will never leave your cloud.
Automated infrastructure for alerting, scheduling and data collection. Leverage the SDK to do the repetitive tasks so you can focus on what matters.