We combine machine learning, data fusion and data processing and a set of solutions engines to create a wide-ranging and powerful automatic analytics capability.
Machine Learning Platform
Best in class Machine Learning technology. Entirely developed in-house, the system enables the rapid adoption of the latest developments in the field of AI and the ability to apply to your railway network.
Data Fusion and Processing
Imagery and Lidar fusion enables a fully automated processing pipeline, from capture and fusion to the generation of quality control reports and survey-grade point clouds.
Railway Solution Engines
Our solutions engines have been built specifically for railways around the world and provide a new level of automation to railroad surveys and inspections.
Cross section Engine
The Cordel Cross-section engine allows for complex and accurate survey point clouds and break them into 1m sections, then deploying our Machine Learning to auto-detect assets, defects, measurements, encroachments, exceedances and more.
Linear Reference System
Ensuring that data from the Cordel platform can be utilised throughout the organisation and across different systems Cordel operates its own LRS software to automatically convert data from geospatial coordinates into network-specific LRS and then back again.
Lidar data fusion for Survey
To truly achieve the scale required to provide these solutions across entire networks, we offer the Smartscan hardware systems to capture lidar data. The Cordel fusion ensures that all captured Lidar, INS and imagery data is fused, optimised and processed for optimal accuracy and performance.
Apply condition-based, life-cycle degradation profiles to accurately model the future condition and service levels of every asset.
Determine long-term funding requirements to achieve desired service levels using up-to-date asset condition and deterioration data.
Create scenarios to demonstrate the impact of increased or decreased funding to inform capital investment decisions.
Optimally allocate available funding to extend asset lives and improve service levels.
Use outputs and reports to improve stakeholder communication, as well as satisfy internal and regulatory requirements.
Seamlessly interconnect with either other third-party asset management and GIS systems.