Ontonix and SAIC Launch MPP version of OntoNet™

Como, 18-th September, 2019. Ontonix and SAIC, a company serving defense, space, federal civilian, and intelligence markets, have developed a Massively Parallel Processing version of OntoNet™, the Quantitative Complexity Management tool by Ontonix.

“The MPP version of OntoNet™ will allow us to go way beyond the 1 million dimensions (variables) limit which the current scalar version has” said Dr. J. Marczyk, the founder and President of Ontonix. “We are now able not only to speed-up our analyses in a near-linear fashion as a function of number of computational cores - we are also able to process huge cases and solve the so-called Extreme Problems in contexts such as systemic supply chain analysis or large network and infrastructure monitoring and protection” he concluded.

The MPP version of OntoNet™ will be available for commercial applications at selected supercomputer centers.

About SAIC

Science Applications International Corporation (SAIC) is a premier technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 15,000 employees worldwide. For more information visit website.

Jacek Marczyk

Visionary, 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 nine 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.

In 2007 launched first on-line Resilience Rating for businesses, an objective and transparent rating system:


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


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.

In 2013 he founded London-based Assetdyne, focusing on design of complexity-based high-performance portfolios and complexity-based asset allocation and asset management.


He is currently focusing on creating a new Rating Agency and a fund which will be managed via complexity technology (QCT).