Case Study: Alstom achieves faster, more reliable train maintenance with Sensfix AI

How Sensfix Helped Global Train Manufacturer Streamline Train Maintenance Processes

alstom faced challenges with inconsistent and subjective manual visual inspections of their trains, which led to missed defects and costly failures. Their technicians also struggled with a slow, manual process for measuring brake pad thickness and had no way to monitor compressor health between service intervals. To address these issues, they partnered with Sensfix.

Sensfix implemented a suite of AI-driven solutions, including nine proprietary computer vision models to automate defect detection and a camera-based system for non-contact brake pad measurement. They also deployed Audio AI for continuous compressor health monitoring. This resulted in a 75% reduction in inspection time, early fault detection weeks before failures, and a complete digital audit trail, significantly improving maintenance reliability for alstom.