Insights

Cordel Connect V3 introduces expanded multi-modal AI detection across eleven trackside asset types, Starlink satellite backhaul for remote data transfer, and a fully integrated workflow from capture through to reporting and GIS publication.

Cordel is transforming global rail with record growth in processed miles. Discover how our SaaS platform turns massive inspection datasets into trusted insights, with 2026 set to be our biggest year yet.

In a bold move that underscores its innovative approach and growth strategy, Cordel has expanded its operations into the U.S. and Latin American markets, bringing its advanced rail inspection technology to the largest rail network in the world. With a clear objective to improve the economics of railways, inspect and maintain assets and a deep commitment to environmental sustainability, Cordel aims to revolutionize the rail industry by becoming the single source of truth for rail LiDAR and video inspection data.

This paper focuses on the application of AI for railway infrastructure asset management and the potential for AI to facilitate optimisation of the rail system. It is based on Cordel’s own automated sensor data acquisition (covering 35,000 track miles of data service per month) and our processing and analytics outputs, with our growing range of railway-specific AI/ML training sets.

Track Geometry measurement regimes used today are typically delivered by dedicated measurement trains and ‘attended’ systems. Its purpose is to measure track irregularities and drive remedial works to maintain acceptable ride quality and to prevent vehicle derailment risk. It could be argued that the approach is no different to the adopted methods of last century.