RCS - Cordel Group PLC - Automated Gauging and Clearance SaaS Solution

CordelAnnouncement

22/11/2022 07:00

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RNS Number : 1250H  Cordel Group PLC  22 November 2022

REACH

22 November 2022

 

Cordel Group PLC

("Cordel" or the "Company")

 

Cordel launches Automated Gauging and Clearance SaaS Solution for Global Rail
Operators
Optimising the use of rail networks for revenue-earning trains

Cordel Group PLC (AIM: CRDL), the Artificial Intelligence platform for
transport corridor analytics, is pleased to announce the launch of Automated
Intelligent Clearance (AIC), a SaaS-delivered automated gauging and clearance
solution. AIC enables global rail operators to optimise the use of their
networks for revenue-earning trains.

Building upon its multi-year engagement with Network Rail in the UK, and
driven by demand from the world's biggest railways, Cordel launches AIC as an
enterprise framework solution that solves clearance and gauging challenges for
all types of railway networks. Efficient delivery of intelligent clearance and
gauging is key to maximising the effective capacity of the infrastructure to
run trains of different shapes and sizes at different speeds. AIC helps ensure
that gauging and clearance data are current, accurate and complete to optimise
infrastructure utilisation while maintaining sufficient space around moving
trains.

Cordel is partnering with D/Gauge Ltd, a recognised leader in gauging
services. AIC combines D/Gauge's specialised expertise with Cordel's rail
corridor asset detection AI (artificial intelligence) technology and extensive
automated clearance datasets. Together this provides a differentiated,
effective solution enabling railway operators to rapidly and efficiently
obtain comprehensive gauging and clearance information for all projects,
plans, and routes in their network.

The benefits of AIC include:

·      More accurate intelligent assessments that grow the effective
capacity of rail infrastructure, enabling larger and more frequent freight and
passenger trains to run, increasing rail operational revenue

·      More agile and complete assessment of new, non-standard load
types facilitating the shift to rail from road freight, with associated carbon
emissions reduction

·      Extra current and up-to-date assessments, helping railways take
full advantage of rolling stock innovations and introduce new trains smoothly

·      Improved targeting of infrastructure investment resources to the
tightest clearances that will show the greatest returns, helping to optimise
capex expenditure

Nick Smith, CEO of Cordel, commented: "Railways are demanding ever more
accurate clearance assessment that delivers intelligent insight from
up-to-date datasets. Cordel, and our partner D/Gauge, are meeting that demand
by combining the latest technologies with our deep subject matter expertise to
automate the continuous assessment of clearance compatibility between the
train and the infrastructure around it to offer a best-in-class solution for
our customers.

"This enables rail network operators to make the most of their networks in
terms of speed and capacity, growing their operational revenue. The
addressable market for a solution of this kind is large, and we are confident
that AIC will prove to be successful in the future."

 

See also www.cordel.ai/solutions for further details.

Notes to editors:

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: https://cordel.ai/

Enquiries:

 Cordel Group PLC                           c/o SEC Newgate

 Ian Buddery, Chairman

 Nick Smith, CEO

 Arden Partners plc (Broker)                `+44 (0)20 7614 5900

 Ruari McGirr

 Strand Hanson Limited (Nominated Advisor)  +44 (0)20 7409 3494

 Richard Johnson / James Bellman

 SEC Newgate (Financial Communications)     +44 (0)7540 106366

 Robin Tozer / George Esmond                cordel@secnegwate.co.uk

 

 

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