History

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AI-MSET is not a beta concept. Its predecessor, MSET, has been in production use for more than 20 years in highly regulated environments and has been approved for use by the U.S. Nuclear Regulatory Commission, the U.S. Department of Energy, Federal Energy Regulatory Commission, Electric Power Research Institute, the Federal Aviation Administration, and the Food and Drug Administration.

Now in its third generation, AI-MSET represents a significant advancement over the original MSET platform. It delivers enhanced robustness to data-quality handling, with even lower false-alarm and missed-alarm probabilities, while preserving the core strength of the technology: early, accurate subthreshold anomaly detection.

MSET has already been used extensively across the commercial nuclear sector by all US nuclear plants and approximately 450 commercial plants worldwide. It has also been adopted by leading industrial and enterprise organizations, including Delta Air Lines, Lufthansa, NASA, INL, Eveready Battery Manufacturing, General Dynamics, Cummins, John Deere, Disney International Theme Parks, EMD, GE Locomotives, and multiple GE business units over the past 15 years.

A fair question is: If this technology is so effective, why isn’t it more widely known?

The answer is primarily commercial, not technical. Oracle Corp used the technology internally for years across manufacturing, quality assurance, cloud data centers, and distributed enterprise databases with a global customer base of more than 330,000 organizations. However, Oracle maintained a long-standing policy of not outbound licensing this technology, keeping it for internal use.

In a separate but related transaction, GE acquired the MSET1 patent portfolio from SmartSignal in 2011 for approximately $220 million. The technology later became part of GE’s industrial analytics ecosystem, where it was delivered as part of broader service contracts for GE assets, and never as a stand-alone product. It was used under brands and platforms associated with APM (Asset Performance Management), SmartSignal, and PREDIX, and later became part of the Baker Hughes, Bentley Nevada, and GE Vernova ecosystems.

As a result, broader commercial adoption was effectively paused after the GE acquisition, and the original patent portfolio and an additional 40+ algorithms created by Sun Microsystems and Oracle as part of their MSET2 portfolio have since expired.

Today, True North Prognostics is bringing this proven technology back to market in a substantially enhanced form. TNP's leadership team includes the original inventor of the foundational MSET technology and several of its subsequent advancements. The third-generation AI-MSET platform combines the validated foundation of MSET with modern AI-driven performance, scalability, and data quality robustness improvements, making MSET3 commercially available (as AI-MSET™) for organizations that need early anomaly detection, ultra-low false and missed alarms, and greater operational confidence.