Ontonix Obtains Services Engagement from Microport CRM

Como, 14-th October, 2022. Ontonix obtains services engagement from Microport CRM, with world headquarters in Clamart, near Paris, France.

MicroPort CRM is a global medical devices company specialized in finding solutions for the management of cardiac rhythm disorders and heart failure. To find out more about Microport CRM, 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.

Ontonix Launches a Black Swan Protection Tool.

Como, 7-th March. Ontonix launches a novel Black Swan protection tool. The tool generates automatically a multitude of feasible future scenarios and identifies the most unfavourable ones from a resilience and sustainability point of view. Scenarios are generated based on user-defined probability of an unlikely event occurring in any of the variables that describe the system. The tool allows to generate Black Swan-type events and helps users to define strategies to mitigate risk in circumstances that are very unlikely and potentially catastrophic. Indispensable for governments and decision-makers in a Crisis Management context, the tool exposes worst-case scenarios and identifies the factors that cause them.

Event severity is defined by the probability of occurrence in terms of multiples of standard deviations. A three-sigma event, for example, occurs with a probability of 0.27% while a six-sigma event with a probability of 0.00000002%. With this information, the system generates multiple scenarios based on the current Complexity Map and without the need to resort to lengthy Monte Carlo Simulation. In addition to the worst-case scenario, the most likely one and the most favourable ones are determined.

 “The tool offers a unique Black Swan protection capability, by allowing users to perform Stress Tests of arbitrary degrees of severity” said Dr. J. Marczyk, the founder of Ontonix. “In today’s turbulent world, punctuated by destabilizing events of increasing intensity and frequency, it is vital to know what a worst-case scenario is and which factors are critical. What were considered low-probability events in the past must be countered today on an almost daily basis. However, in context of high complexity, when turbulence and thousands of interdependent factors combine, decision making and risk management become extremely difficult. Our system automatically identifies the worst cases out of thousands and hints the appropriate strategies”, he continued. “This novel tool is particularly useful in conditions of pressure, conflict or high market turbulence, answers the basic questions: “how bad can it get?” and “what can I do to protect myself?”, he concluded.

Below is an example of a small system, for which the worst-case scenario is determined with at 4sigma level event (probability of occurrence of 0.0063%).

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.

Ontonix Receives Contract from Banca Popolare di Sondrio

Como, February 11-th 2022. Ontonix, a company developing unique and exclusive solutions and services in Quantitative Complexity Management, announces a contract from the Banca Popolare di Sondrio for the annual renewal of the license of its software products as well as consulting services.

About Banca Popolare di Sondrio

Founded in 1871, the Banca Popolare di Sondrio is one of the first Italian cooperative banks that was inspired by the popular cooperative banking movement. Over time and thanks to the gradual expansion of it´s activities and presence on the territory, the bank gained more regional dimensions with the possibility of operating nationwide, while at the same time keeping strong ties to the zone of origin. The bank employs more than 2,500 persons, and has 300 branches. For more information 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.

Ontonix Delivers HW-based Complexity and Resilience Monitoring Solution to SmartSense

Como, 28-th January, 2022. Ontonix delivers a Hardware-based complexity and resilience monitoring solution to SmartSense. Israel-based SmartSense enhances factory connectivity, developing wireless solutions to provide live shop floor visualization and enabling data exchange between systems, products and people.

For more information, 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.

"Cardiology Research and Practice" Publishes Article on QCT.

Como, 24-th September, 2021. The “Cardiology Research and Practice" medical journal publishes paper “Quantitative Complexity Theory Used in the Prediction of Head-Up Tilt Testing Outcome”. The research reported in the paper has been performed in collaboration with the Military Institute of Medicine in Warsaw, Poland.

The paper concludes that “Complexity has been shown to be a sensitive marker of cardiovascular haemodynamic response to orthostatic stress and proved to be superior over HR and BP in predicting HUTT outcomes.” and shows how QCT – Quantitative Complexity Theory – can predict the response to a vasovagal syncope. In practice, the QCT can predict, even two minutes ahead of time, when a patient will faint, showing its superiority over conventional approaches.

“The understanding of physics and physical processes and transformations makes it possible to identify precursors of anomalies, not just anomalies. The QCT, in practice, takes anomaly detection to a new level. Artificial Intelligence and Machine Learning have been around for a few decades. While ML works well in certain applications, we felt that it was time to develop a radically innovative and unconventional data analysis technology, redefining the concept of anomaly and anomaly detection. In highly complex situations with hundreds of thousands of variables, Machine Learning is not feasible as it requires numerous examples of anomalies to learn from. Often you don’t have the time. Our QCT doesn’t require training or prior knowledge, only streaming raw data.” said Dr. J. Marczyk, the founder and President of Ontonix.

The data for the research has been collected as a part of the project (no. 126/IWSZ/2007) funded by the Polish Ministry of National Defense.

Download paper.

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.

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.

Ontonix Receives Contract from Banca Popolare di Sondrio

Como, March 19-th 2021. Ontonix, a company developing unique and exclusive solutions and services in Quantitative Complexity Management, announces a contract from the Banca Popolare di Sondrio for the annual renewal of the license of its software products as well as consulting services.


About Banca Popolare di Sondrio

Founded in 1871, the Banca Popolare di Sondrio is one of the first Italian cooperative banks that was inspired by the popular cooperative banking movement. Over time and thanks to the gradual expansion of it´s activities and presence on the territory, the bank gained more regional dimensions with the possibility of operating nationwide, while at the same time keeping strong ties to the zone of origin. The bank employs more than 2,500 persons, and has 300 branches. For more information 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.

Ontonix Receives Contract from Millennium Corporation

Como, 26-th December, 2020. Ontonix, a technology company delivering Quantitative Complexity Management (QCM) hardware and software (HW & SW) for early warnings and anomaly detection, has received a contract from Millennium Corporation.

Millennium Corporation is a strategic management, cybersecurity and systems engineering firm and committed partner to the Federal Government, has a proven record of performance supported by successful contract results with customers within the ARMY, NAVY, OSD, DHS and other civilian agencies.

For more information 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.