Ontonix, SAIC and the MMI Develop Android App for Patient Monitoring

Como, September 30-th, 2019. Ontonix, SAIC and the Military Medicine Institute in Warsaw have developed an Android-based App for real-time monitoring or patients in Intensive Care. The App processes streaming data originating in monitoring equipment in Intensive Care Units and delivers early-warnings of imminent crises or instabilities. Such early warnings are based on sudden variations of patient complexity and, generally, precede crises or instabilities.

“While most conventional patient monitoring systems analyze vital signs on a one-by-one basis, our tool identifies and takes into account all possible channel interactions, combining them into one single systemic indicator of the patient’s state and dynamics”, said Dr. J. Marczyk, the founder of Ontonix. “We are grateful to our partners, the Warsaw-based Military Medicine Institute and with SAIC, for their collaboration in helping us deploy such an innovative and advanced tool” he added.

“Because of the immense complexity of the human body, and due to the limitations of conventional mathematics, medicine lacks a systems perspective. Today, thanks to our Quantitative Complexity Science and Technology, it is possible to see a patient as a system of interacting systems and to provide real-time measures of his complexity and stability. This new approach provides unprecedented insight into the dynamics of a patient and enables us to issue early-warnings in an ICU” he concluded.

Below, images of the App in a stable condition (left) and in case of early-warning (right). The vital signs at the top of the bar chart indicate which ones are responsible for the crisis or instability.

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For information on the MMI visit website

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.

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.

Ontonix Receives Contract from Banca Popolare di Sondrio

Como, May 21-st 2019. 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.

Ontonix Releases Fast Version of OntoNet™

Como, 22-nd February, 2019. Ontonix launches a fast version of its Quantitative Complexity Management engine OntoNet™ - the OntoNetS™ - for the analysis of very large systems and processes. OntoNetS™ features an approximate algorithm which reduces significantly memory usage as well as accelerates computation. For example, in the case of 5000 variables, the speed-up is 25, while with 10000 it is 32.

Only a Linux version is available.

“With similar runtime reduction we are now in the condition to tackle problems with thousands of variables even on a laptop” said Dr. J. Marczyk, the Founder and President of Ontonix. “OntoNetS™ open new possibilities in terms of real-time implementations such as monitoring of networks or IT systems” he added. “The approximate algorithm produces results that have a correlation of nearly 97% with the original one. The small difference is not only negligible, it is also irrelevant. In the spirit of L. Zadeh’s the Principle of Incompatibility, which states that high precision is incompatible with high complexity, highly complex systems, by their very nature, are never precise and cannot be studied with high precision. Therefore, a small loss of precision in the analysis of highly complex systems is perfectly tolerable” he concluded.

Ontonix Obtains Contract from SAIC

Como, 16-th November, 2018. Ontonix obtains from SAIC a contract for delivering software and engineering services in the field of counterfeit electronics detection using Quantitative Complexity Management technology. The engagement is part of a three-year project funded by the DoD and Naval Warfare Center. In the framework of the project, QCM technology will be incorporated into the Rapid Automated Component Evaluation (RACE) System under development by SAIC.

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.

Ontonix and the Carabinieri Sign Agreement

Como, 8-th November, 2018. Ontonix and the Carabinieri, the national law enforcement corps of Italy, have signed an agreement focusing on the complexity analysis of forest fires. The main objective of the collaboration is to increase the understanding of the dynamics of the phenomenon and to provide information useful towards its prevention.

The agreement has been signed in Rome by Carabinieri’s Lieutenant General A. Ricciardi and Mr. M. de Lucia, VP Aerospace and Defense, representing Ontonix.

“We are proud to collaborate with the Carabinieri”, said Dr. J. Marczyk, the Founder and President of Ontonix. “Our Quantitative Complexity Management has been applied in numerous contexts, helping understand the peculiarities and the dynamics of highly complex multi-disciplinary systems and contexts. We are looking forward to using our technology to help protect the ecosystem in our country” he concluded.

About the Carabinieri.

Founded in 1814, the Carabinieri are the national law enforcement corps of Italy who primarily carry out domestic policing duties with a dual role as a Police and Armed Force. Unlike the Polizia di Stato and Guardia di Finanza, Italy's other main law enforcement agencies, the Carabinieri are a military force. For more information visit website.

ISO Publishes "Security and resilience - Guidelines for complexity assessment process"

Como, 6-th November, 2018. ISO, the International Organization for Standardization, has published the ISO 22375, Security and resilience -- Guidelines for complexity assessment process. According to ISO, “This document gives guidelines for the application of principles and a process for a complexity assessment of an organization's systems to improve security and resilience. A complexity assessment process allows an organization to identify potential hidden vulnerabilities of its system and to provide an early indication of risk resulting from complexity.“

The ISO 22375 originates from the UNI 11613 published in 2015 and impulsed by Ontonix. Ontonix is principal co-author of UNI 11613.

“We are pleased to have contributed to the ISO 22375” said Dr. J. Marczyk, the founder and President of Ontonix. “Complexity-induced risk is a new form of risk, introduced by Ontonix and the management of which Ontonix has pioneered since its founding in 2005. Complexity-induced risk is today the most insidious form of risk", he added. “We do, however, have reservations as to ISO 22375. First of all, it provides a subjective assessment in that it is based on arbitrarily assigned weights. Second, the analysis procedure has a stong linear flavour and discounts the presence of critical complexity. This last fact indicates that the standard leans heavily towards a qualitative analysis, neglecting such fundamental principles of physics as the Second Law of Thermodynamics. Finally, the standard speaks of resilience but no measure of resilience is proposed or discussed”, he concluded.

AUDI to Test Complexity Chip

Como, 11-th October, 2018. Ingolstadt-based AUDI Electronics Venture, AEV, will evaluate the QCM Chip (or Complexity Chip) for a range of applications. 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). Each chip is delivered with a specific board - Digilent ZedBoard - which includes a microprocessor that manages all data Input/Output as well the chip itself.

“The chip constitutes the heart of an Intelligent Black Box - a device that can be mounted on cars, aircraft, submarines or on any mission-critical piece of equipment, and deliver early warning signals of imminent systemic malfunctions”, said Dr. J. Marczyk, the founder and President of Ontonix. “We are proud of the fact that AUDI, a leading manufacturer of luxury vehicles with whom we cooperate since nearly a decade, will evaluate the chip in various fields” he continued. “As the software and electronics on modern cars is rapidly becoming highly complex, this complexity can cause malfunctions which may impact safety. Monitoring it in real time not only indicates which sub-systems are the drivers of complexity, it also makes it possible to anticipate breakdowns, indicating potential causes. Monitoring the complexity on a fleet of cars will deliver knowledge that can be useful in the design of future software and electronics architectures in that complexity itself will become a proper design attribute. ” he concluded.

For information on AEV, visit website.