This case study describes how CAF transformed from a traditional train manufacturer into a digital services provider by launching its LeadMind platform. Built on Spotfire and AWS, LeadMind ingests real-time sensor data from trains to deliver condition-based and predictive maintenance. CAF created more than 20 analytics applications to visualize fleet status, optimize maintenance schedules, and extend component lifecycles. The solution adapts to different train types and operating environments, enabling customers to reduce costs and improve reliability. LeadMind extended the lifecycle of key components by up to 152%, reduced downtime, and helped CAF secure more than 30 global projects, positioning the company as a leader in data-driven rail innovation.

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