Ontonix Launches a "Complexity Chip" in Collaboration with SAIC

Como, March 5-th, 2018. Ontonix launches a "Complexity Chip" for ultra-fast and secure complexity monitoring of mission-critical equipment and infrastructures in both military and civilian contexts. The chip is based on FPGA technology and has been developed jointly by Ontonix and SAIC in the framework of a project funded by the US Department of Defense Executive Agent for Printed Circuit Board and Interconnect Technology and the NSWC (Naval Surface Warfare Center).

"After more than a decade of research and testing with numerous clients and in diverse sectors, our QCM (Quantitative Complexity Management) technology is now mature for hardware implementation" said Dr. J. Marczyk, the founder and President of Ontonix. "We are proud to have collaborated with SAIC in the development of this new technology which takes complexity monitoring and management to a totally new level. Military and civilian infrastructures, systems and products, such as cars,  aircraft, or networks, have become increasingly complex and dependant on large amounts of software. As a consequence, their complexity has grown to huge proportions and must be monitored and managed. Because excessive complexity is a fenomenal source of problems, it must be considered as a new attribute and KPI (Key Performance Indicator) of modern products and infrastructures. Monitoring complexity helps to identify where its concentrations occur and, therefore, where it is most likely to expect problems or increased fragility. If you don't want to drown in complexity, the least you can do is monitor it", he added. "When integrated with a software/electronics system of an automobile or an aircraft, the QCM Chip becomes a modern early-warning box which detects both 'local' as well as 'systemic' problems. Conventional black boxes only store data. Our QCM Chip is able to process it and extract additional value in the form of pre-alarms. On another note, it is important to mention that real-time complexity monitoring is possible also in medicine. Over the years we have tested QCM techniques in medicine in various contexts. Now we are ready to move to the next level, by developing advanced patient monitoring systems for hospitals as well as for field application in the form of hand-held devices," he concluded.

With QCM technology now available on a chip, QCM enters into a new era. It is the goal of Ontonix to implement its complexity monitoring chip in:

  • automobiles, land vehicles
  • aircraft, spacecraft, UAVs
  • ships, submarines
  • trains
  • turbines, compressors, transformers
  • networks
  • critical infrastructures

Each chip may be delivered with a specific board, which includes a microprocessor that manages all data Input/Output traffic. Different variants of the product are available, with number of data channels ragning from a few tens to 1000. Shipping of the product will commence in July 2018.

A prototype board with the QCM Chip is illustrated below.


To obtain more information on our Complexity Chip contact us.



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).