Ontonix Releases Multi-Processor Version of QCM/Artificial Intuition

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Como, May 27th 2025. Ontonix, a technology company delivering Quantitative Complexity Management (QCM) and Artificial Intuition technology for early warnings and anomaly detection, has released a Multi-Processor version of its QCM/Artificial Intuition technology.

“The Multi-Processor version of our QCM/Artificial Intuition technology is major step when it comes to solving very large-scale problems, such as infrastructure protection, monitoring of industrial plants, processes and critical equipment, or traffic systems, as well as on-board processing on mobile platforms. In similar contexts, massive amounts of data are produced at high frequency, preventing real time analysis. With the availability of a multi-core QCM architecture, this no longer constitutes a problem”, said Dr. J. Marczyk, the founder and CEO of Ontonix. “The multi-core version is also ideally suited for fast processing of molecular dynamics simulations of not just small molecules but also of proteins”, he added.

“Moreover, a specific version for parallel processing of images is also available. This may be particularly interesting in the case of satellite images and wildfire prevention. The very attractive feature of these new implementations of QCM/Artificial Intuition is that they scale almost linearly with the number of processors (cores)”, he concluded.

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Dr. Jacek Marczyk

Visionary, ex rocket scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of ten books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

www.ontonix.com

In 2009 developed real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

http://www.ontomed.net

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.