From Inspection to Prediction with Digital Twins

A Dutch company is developing a digital twin platform for manufacturing companies to predict equipment failures and optimize production.

The platform uses machine learning algorithms to analyze data from sensors and equipment, and predict potential failures before they occur.

This allows manufacturers to schedule maintenance and optimize production processes, reducing downtime and increasing efficiency.

The company is currently testing the platform with several large manufacturing companies in the Netherlands.