LIDAR software on the front of a train

AI for rail analytics

We provide integrated hardware & software systems that capture, process & analyse multi-channel sensor data to deliver structured insights.

Our Solutions

Cordel has been built to capture imagery and LiDAR data from in-service trains using modern, cost-effective and miniaturised sensors, to automate large volumes of data processing using world class machine learning and to deliver intelligent and actionable inspection results. Cordel enables railway operators to automate inspections and surveys of assets across entire networks in near real-time.


Total kilometres managed


Total kilometres scanned


Days in the rail corridor saved


Defects and anomalies detected

Why Cordel

We understand the ongoing challenges of the world's railroads. In the face of increasing freight haulage and passenger numbers, effective and cost-efficient asset inspections are now more critical than ever. Cordel offers railroads a new and improved method for inspecting and managing assets.

Increase revenue traffic

Utilises existing rail vehicles

Better compliance

Enables more frequent inspections

Improved safety

Reduces workers on track

Cuts costs and carbon

Helps with cost-effective and environmentally sustainable growth of railroads

ARTC white logo

"Results from trials have been encouraging and we are continuing to embed this new capability as the preferred method of inspections for transit space monitoring across the entire ARTC Interstate Network."

Damon Goulding

Asset Planning Engineer

Cordel provides world-leading automated infrastructure inspection solutions

Cordel automates inspections and surveys across entire railroad networks. This enables operators to complete inspections faster and safer, and drastically reduces the cost of asset inspections.

trains at a docking station

Transform your infrastructure inspections

Visit our contact page to get started today or book a demo to give us the opportunity to show you first hand how we enable deeper insights into critical infrastructure.