Case Study: Monom achieves automated predictive maintenance with WhiteBox

Monom automates machine anomaly detection with WhiteBox, replacing semi-manual analysis with AI

Monom, a company specializing in IoT, faced the challenge of interpreting data from industrial machinery sensors to enable predictive maintenance. They needed a complete platform capable of advanced analysis, including anomaly detection. To meet this challenge, they partnered with vendor WhiteBox to develop the core predictive algorithms for the platform.

WhiteBox implemented the solution using unsupervised models built with tools like scikit-learn, which could automatically identify machine operating modes and detect anomalies. This innovation from WhiteBox transformed Monom's methods from a semi-manual system to a fully automated AI solution. The results included a raised quality of services and optimized operating and maintenance costs for the customer.

Monom