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Cordant Machine Health

Baker Hughes Bently Nevada Augury US

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Cordant Machine Health

Baker Hughes Bently Nevada Augury US

Prescriptive Outcomes that Provide Peace of Mind

Cordant Machine Health powered by Augury

Preventing Machine Failure

When a machine fails, an entire production line grinds to a halt. Machine Health helps manufacturers to reduce unnecessary downtime, maximize production capacity, optimize the cost of asset care and accelerate their digital transformation. Our solution delivers an average of 3x-10x ROI for our customers, often in a matter of months. Machine Health uses the Internet of Things (IOT) and Artificial Intelligence (AI) technology to predict and prevent industrial machine failures, and improve machine performance.


How It Works

Machine Health is a full-stack solution that use sensors to capture vibration, temperature, and magnetic data from machines, advanced AI diagnostics and human reliability experts to improve the health and performance of industrial machines. Implement Machine Health in four easy steps (See our Machine Health Video)

  • Monitor: Sensors capture and transmit data to the Machine Health platform 24/7.
  • Diagnose: AI detects issues, explains what caused them and prescribes courses of action.
  • Guide: Augury’s platform, AI Insights and Bently Nevada's expert support enable users to prioritize and plan machine health activity.
  • Act: Users collaborate and act on guidance to improve the health and performance of machines and operations.

The Machine Health Advantage
  • AI-enabled diagnostics are trained on over 10 years of proprietary machine data.
  • Provides only mission-critical, timely alerts and advises how to resolve them.
  • Customers experience a 90% user engagement rate.
  • On average customers achieve ROI in less than 30 Days.

By helping manufacturing become more insight-driven, Bently Nevada and Microsoft can elevate your Machine Health, level-up your optimization and enhance your overall sustainability.

Learn more
Machine Health Fact Sheet
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