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Cordel

Cordel.ai

+44 (0) 7719 685788

Company overview

Cordel.ai is delivering a new generation of AI-powered infrastructure inspections to railways around the world:

  • We automate network wide LiDAR capture & processing – with unattended monitoring systems installed on any train for cost-effective measurement and monitoring at scale.
  • We provide cloud-based inspection data assurance software – delivering rapid turnarounds that allow you to confidently manage, control and visualise up-to-date data.
  • We deploy our advanced AI-powered data processing engine – reducing manual effort and joining up disparate datasets (including 3rd parties) to unlock new insights for asset management.
  • 89,000 miles managed

  • 2 million total miles scanned

  • 1.5 million records monitored monthly.

  • 12,200 Structures identified and monitored.

Memberships

Solutions

Using state-of-the-art miniaturised sensors, Cordel.ai collects LiDAR data and imagery from in-service rail vehicles and delivers actional, intelligent inspection results. This enables operators to automate the inspection and asset surveying process in near real-time.

Solutions include:

These solutions enable operators to carry out remote condition monitoring and track deterioration and changes, all while benefiting from automated data analysis and data-driven decision making.

Platforms to automate infrastructure monitoring

Cordel.ai’s platform brings together advanced data-capture hardware and cloud-based software for reporting, processing analytics, and fusion.

  • Designed to process and manage high volumes of data.
  • Modern, extensible architecture.
  • Using findings from work with rail clients to expand and enhance technologies.

Platforms include:

 

Cordel.ai’s customers can choose from the following deployment models: ad hoc/project, end-to-end, and enterprise.

Case study

Cordel.ai helped ARTC, the largest rail network in Australia, to automate the infringement and clearance surveying process.

Location

10 John St, London WC1N 2EB

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