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iHydrant Case Study: IIoT Data Science & GIS Mapping

iHydrant technology revolutionizes water systems, leveraging powerful real-time analytics and actionable insights to detect and prevent water loss, and extend the life of infrastructure evolving the way your utility looks at water.


Wanted to add machine learning and AI to their existing intelligent water management devices but lacked the internal expertise and resources to execute.


The DevIQ Data Science team developed a first of its kind, advanced event localization algorithm to pinpoint transient events in a closed water network. Then we leveraged Azure serverless technologies to deploy the solution to the cloud for real-time event analysis and heat map visualization.


Some of the technology expertise used in this project include:

  • AWS S3 Data Lake
  • Databricks Lakehouse
  • Amazon Athena
  • GraphQL
  • 3rd Party Integrations



iHydrant clients now have the ability to more accurately manage and monitor their water networks. They can respond to events faster and more efficiently to reduce customer downtime and limit water loss due to hydraulic events and failures in the network.



Visit iHydrant's website to learn more.