Case Study: Talgo achieves 99% fleet availability with Atos AI-powered TSMART maintenance

Data and analytics transport Talgo to the future of train operations Streaming 30,000 signals per second at 350 km per hour

Talgo, the high-speed train manufacturer, wanted a smarter way to monitor its fleet and move beyond traditional preventive maintenance. Working with Atos, it set out to build the Talgo SMART Maintenance (TSMART) platform to ingest real-time telemetry, handle large volumes of train data, and give maintenance teams fast, usable insights for high-speed operations.

Atos implemented TSMART using Google Cloud, AI, MLOps, and real-time analytics to deliver predictive and condition-based maintenance, engineer dashboards, and advanced monitoring modules. The result was 99% fleet availability, 15% improved fleet reliability, 5% improved availability, 10% improved maintainability, and an estimated 200 hours of maintenance inspection time saved per train each year.

Talgo

José Antonio Marcos

Chief Maintenance Engineer