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Home > Case Studies > Keystone Clearwater Solutions

Keystone Clearwater Solutions

Case Study

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The Partnership between Keystone Clearwater Solutions and KCF Technologies

Keystone Clearwater Solutions and KCF Technologies, a leading provider of machine health optimization platforms, today announced KCF will be the machine health platform provider for the systemwide optimization of Keystone Clearwater’s critical machine assets.

In Q4 2022, Keystone Clearwater was among the first water management and water transfer companies to deploy KCF’s new MachineIQ solution for pumps. MachineIQ monitors assets and makes recommendations to solve identified faults, turning data insights into action through integrated workflows.

KCF Technologies’ machine health monitoring solutions have collectively saved partners an estimated $3.4B in documented savings. This year alone, KCF expects to save their customers nearly 24,000 hours of unplanned downtime through the use of their enterprise software, highly engineered Industrial “internet of things” (IoT) devices, and high-touch engineering. KCF has decades of experience that provide users a deep understanding of asset performance and machine health.

“We strive to be on the leading edge of automation, efficiency, and performance. Our partnership with KCF Technologies allows us to remotely monitor our critical equipment at customer locations 24/7, optimize performance, and extend our equipment’s life. The result is providing our operators the highest quality service and reliability.”

TOM STABLEY
CEO, Keystone Clearwater

“We are excited to further our relationship with Keystone Clearwater and have them be an early adopter of our latest analytics, MachineIQ. Together, we expect to drive the overall performance of their machine assets and system optimization.”

DR. JEREMY FRANK
CEO, KCF Technologies

KCF Technologies will connect all of Keystone Clearwater’s critical pumps and motors to their machine health platform using wired and wireless vibration sensors.

The machine health solution will provide:

  • peripheral system monitoring
  • bearing failure avoidance
  • cavitation reduction
  • engine monitoring
  • valve monitoring
  • system optimization.

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