NannyML is a company that provides tools for monitoring machine learning models after deployment. Its core product offerings, such as NannyML Cloud and NannyML OSS, allow data scientists to monitor and estimate the performance of ML models even without labeled data. NannyML is designed to detect data drift and link such alerts to changes in model performance, ensuring that models remain effective over time. It offers solutions that focus on meaningful alerts and advanced performance tracking methods without overwhelming users with false alarms, which is particularly crucial for effective model management and reducing alert fatigue. The solutions emphasize effortless observability and secure cloud deployment. It is an open-source tool that helps trigger retraining actions based on concept drift and supports business value estimation from model performance linked to monetary outcomes. NannyML is an innovative alternative to traditional ML monitoring approaches, which often rely solely on data drift.