Qntonix Launches QCM2, a New QCM Technology with Novel Complexity Metrics

Como, April 13-th, 2021. Ontonix, launches QCM2, an evolution of its Quantitative Complexity Management technology.

“The classical complexity metric, which constitutes the core of the QCM, is scale-free. This means that the value of complexity is independent of data amplitude. While this presents numerous advantages, there are contexts in which it is useful to link the value of complexity to actual data amplitudes. This is the key characteristic of the QCM2”, said Dr. J. Marczyk, the Founder of Ontonix and head of R&D. “While the conventional QCM blends structure and Entropy, QCM2 establishes a link between physics and Information Theory” he added. “Our company invests an unusually high portion of its revenue to R&D. This not only protects our Intellectual Property and unique technology from emulation, it also allows our clients to quickly benefit from the latest advances in complexity science” he concluded.

An example is illustrated below. Conventional QCM indicates a drop in complexity, hinting a potential anomaly. QCM2, on the other hand, shows a much more pronounced signal.

qcmqcm2.jpg

OntoNet™, the company’s flagship QCM software solution, has been upgraded to include new QCM2-based complexity metrics. Development of the QCM2 has required over two years and has been inspired by work in the financial industry. All future CAHMS installations will incorporate the QCM2 technology.

For information on Ontonix visit website.

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.