AI case study

mCloudTechIndustrial asset monitoring

Assets relied on annual physical checks. Automated agents now scan images hourly, detecting leaks and heat anomalies instantly.

Published|5 months ago

Key results

OpEx Efficiency
>40%

Result highlights

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The story

Context

A software company serving aerospace and energy sectors, where monitoring complex industrial assets traditionally required immense capital and specialized computing power.

Challenge

Critical infrastructure often relied on annual physical inspections, leaving leaks undetected for long periods. Additionally, valuable maintenance...

Solution
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Quotes

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The company

mCloudTech logo

mCloudTech

mcloudcorp.com

AI and IoT platform for industrial asset performance and energy management.

IndustryEnergy & Utilities
LocationSan Francisco, CA, USA
Employees51-250
Founded2017

The AI provider

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

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Set up a Kubernetes environment using Terraform to assist with mCloudTech’s migration.

IndustryTechnology
LocationLos Angeles, CA, USA
Employees51-250
Founded2022

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