Cordel Group (CRDL, an AI platform for transport corridor analytics, has secured a Data-as-a-Service contract with Network Rail (High Speed) Ltd, the operator of the railway infrastructure for High Speed One (HS1).

HS1 connects St Pancras International in London to the Channel Tunnel, serving Kent's domestic routes and international destinations like Paris, Lille, Brussels, and Amsterdam.

Under this contract, Cordel will capture monthly data runs along the HS1 line, creating a digital twin using automated surveys to measure critical dimensions like Overhead Line Height and Stagger. Data will be autonomously collected from equipment on trains, utilising Cordel's Wave 32 LiDAR and camera hardware, recently certified by Network Rail. Cordel's AI platform will process this data through its cloud-based Inspection Management software.

John Davis, CEO of Cordel, commented: "We are delighted to continue to expand our important work with Network Rail (High Speed), whereby our world-leading technology delivers vital insights to meet their very high engineering standards.  Cordel has now captured and processed data across nearly 500,000 miles of international railway lines, resulting in an unmatched depth of AI learning and data management experience."
 

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Cordel produces specialist hardware and software for capturing, analysing and reporting on large datasets within the transport sector, using artificial intelligence algorithms. The news today is another example of Cordel's solutions attracting some of the world's most advanced rail networks as customers, with another recent partnership with Amtrak in the USA underscoring the strength of Cordel's offerings.

Cordel is actively expanding its reach globally, including in the US, which boasts the world's largest railway market with 240,000 kilometers of track. This global expansion strategy positions Cordel for significant growth and market penetration. In addition, Cordel is strategically positioned in a rapidly expanding $30 billion market, with demand for automation and data-driven decision-making in rail infrastructure technology on the rise.

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