Case Study: CAF-LeadMind achieves safer trains and scalable predictive maintenance with AWS IoT

CAF Increases Train Safety with AWS IoT

CAF-Leadmind, the rail‑services unit of Spain‑based train maker CAF, needed to reduce lifecycle maintenance costs and improve train safety by delivering predictive maintenance from real‑time sensor data across its fleet. To meet this challenge they built the LeadMind platform using AWS IoT technologies, including AWS IoT Core to securely connect onboard sensors.

AWS IoT provided the cloud backbone—AWS IoT Core for device connectivity, Amazon Kinesis for real‑time ingestion, and Amazon Redshift for warehousing and BI integration—so LeadMind now collects about 15 GB of performance data daily from 30 trains and can scale to hundreds. The solution freed data scientists to build better predictive models, reduced capex, and enabled faster detection of component issues, improving maintenance efficiency and overall train safety.

CAF-Leadmind

Javier de la Cruz

Rail Services Engineering Head Manager