NannyML is an early stage venture funded start-up. Our product bridges the gap between business and AI in production, monitoring decisions made by ML systems, and ensuring they are stable and reliable, while extracting and communicating insights to business stakeholders. We work to become the product for monitoring AI in production. At NannyML we build enterprise software for detecting and correcting ML systems in production. That includes detecting data and concept drift, estimating performance loss and suggesting corrective actions as well as a dashboard that presents all these insights for business and technical users. Our goal is to ensure that ML systems keep adding value and that insights that can be extracted from ML systems are clearly communicated to business stakeholders. We want to make ML in production effortless to interact with and extract value from.Something looks off?