AI case study

CrossTechPredictive maintenance

Engineers lost time to complex infrastructure. Automated scaling now cuts deployment cycles by 70% and halves build times.

Published|4 months ago

Key results

Annual Efficiency
~£20M
Faults Remediated
6,000
High-Risk Fault Reduction
96%

Result highlights

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The story

Context

A computer vision company serving UK transport networks provides automated inspection platforms to operators responsible for maintaining critical rail and road infrastructure.

Challenge

Strict service level agreements required processing vast amounts of video data in short windows, but the previous cloud platform was complex and...

Solution
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Scope & timeline

  • Model build time cut to 6 weeks

Quotes

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The company

AI-powered infrastructure inspection platform for railways and highways.

IndustryTransportation & Logistics
LocationLondon, ENG, GB
Employees11-50
Founded2018

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

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