Boost reliability and performance with IET’s physics-based anomaly detection systems.
Our predictive maintenance experts work closely with site reliability engineers and operations teams to identify equipment issues before they become failures.
Boost reliability and performance with IET’s physics-based anomaly detection systems.
Our predictive maintenance experts work closely with site reliability engineers and operations teams to identify equipment issues before they become failures.
To turn physics into clarity—transforming first-principle models through engineering rigor and validation into real-time diagnostic tools that help operators improve performance, manage risk, and operate sustainably.
To push the boundaries of applied science uniting theory, engineering, and innovation to create diagnostic technologies that turn complex signals into clarity.
To develop technologies to help people and the planet by extending equipment life, protecting resources, and ensuring safer, more efficient operations through continuous physics-based monitoring.
IET was founded on a mission that started decades ago. Combining world-class engineering with a vision to solve real-world industrial challenges.
Dr. Terry E. Reimer, PhD EE, a veteran engineer who worked with NASA on the Saturn V rocket for the Apollo Missions, joined with his graduate student, Jim Tedesco, MS EE.
Together they shared a vision for applying digital signal processing techniques to solve real-world industrial challenges.
With Tedesco's focus on solving practical problems, the two engineers co-founded Sygnology, LLC, an affiliate of IET.
Together they secured an $18-million contract with Shell to develop proprietary technology that extended valve life, detected and diagnosed leaks, and identified early indicators of wear and damage in rotating equipment.
From that experience arose the idea of developing a real-time anomaly detection system based on physics and designed for continuous equipment monitoring with alert notifications.
Our system automates instantaneous and cumulative damage detection and delivers diagnostic insights directly to the monitoring dashboard and by email/SMS.
Unlike many competitors who use statistical models, our proprietary technology is based on physics and requires no long training periods after deployment.
Our technology works with existing data streams, does not require additional hardware installation, and works with slow sampled data.
The company began when Dr. Terry E. Riemer, PhD EE, a veteran engineer whose early career included working with NASA on the Saturn V rocket for the Apollo Missions, joined with Jim Tedesco, MS EE, a graduate student of Dr. Riemer’s who harnessed the vision for applying digital signal processing techniques to solve real world industrial challenges.
With Tedesco’s focus on solving practical problems, together the two engineers co-founded Sygnology, LLC, an affiliate of IET, securing an $18-million contract with Shell to develop proprietary technology that extended valve life, detected and diagnosed pipe leaks, and identified early indicators of wear and damage in rotating equipment for one of the world’s largest oil corporations.
From that experience arose the idea of developing a real-time anomaly detection system based on physics and designed for continuous equipment monitoring with alert notifications. Our anomaly detection system automates instantaneous and cumulative damage detection providing diagnostic insights directly to the monitoring dashboard and summary diagnostic reporting delivered by email/SMS which contains actionable condition indicators that equipment operators can use to make decisions.
Unlike some of our competitors who use statistical models, our proprietary technology is based on physics and requires no long training periods to provide anomaly detection capabilities after deployment. Our technology works with existing data streams and does not require additional hardware installation. Our system is designed to work with aliased data which was sampled at a slow rate.
At IET, our team is driven to turn deep engineering expertise into real solutions that improve reliability and performance across industries.
Guided by precision, creativity, and integrity, we turn knowledge into technology that improves reliability and performance across industries. Because at IET, innovation isn’t just what we do; it’s who we are.
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See IET's Adaptive Anomaly Detection technology in action and discuss how it could apply to your operations.
Evaluate IET's technology using your operational data in a focused pilot designed around your use case.
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