12 June 2023

Cordel Group PLC

("Cordel" or the "Company" or the "Group")

Cordel Technology Certified by Network Rail

Cordel Group PLC (AIM: CRDL), the Artificial Intelligence platform for transport corridor analytics, is pleased to announce that Network Rail has granted official approval to the Cordel Wave 32 Mobile Laser Scanning system.

Cordel has achieved certification under the Network Rail "Topographic, engineering, land and measured building surveying" standard (ref NR/L2/TRK/3100 Issue No.5). The Cordel Wave 32 Mobile Laser Scanner has been assessed as compliant to Band 3A, delivering accurate Survey and LiDAR Techniques from vehicle mounted installations. Cordel has achieved absolute geospatial accuracy of points to +-50mm Horizontal, +- 30mm Vertical; with even tighter relative accuracy between points. Railways can use the raw outputs of survey grade data, in addition to Cordel's key value add of an AI-driven solution set of insights.

CEO John Davis said, "We are delighted that Network Rail has added the Cordel Wave 32 to the approved methods of data capture for the UK railway network. Cordel is the first company to achieve this approval for capturing data on passenger carrying trains. Now that Cordel hardware and software are certified by Network Rail, the international railway with the most stringent infrastructure monitoring standards in the world, Cordel's position is cemented as the leading supplier of point cloud rail survey data.

Crucially, the newly certified data that we collect feeds directly into our automated pipeline, to deliver Cordel AI insights promptly and efficiently to our railway customers. Now railways have confirmation that they can rely on our automated capture and analysis to ramp up inspections at scale." 

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About Cordel

Cordel produces specialist hardware and software for capturing, analysing and reporting on large datasets within the transport sector, employing sophisticated artificial intelligence algorithms.

Further information on the Company is available at: www.cordel.ai