Complexity Engineering

Ontonix is Gartner’s Cool Vendor

OntoTest Complexity analysis of weather radar images for Air Traffic Management

In 2007, only two years after its founding, Ontonix has been selected Cool Vendor by Gartner. Below is full text of Gartner’s analysis by Marc Halpern:

“Analysis by Marc Halpern, Gartner

Why Cool: Ontonix has vision and software that go well beyond the mainstream of today’s computer-assisted analysis and simulation software. The software can identify critical variables and their relationships by processing computer generated data, measured data from real systems, or a combination of different types of data. It provides insight into making systems more reliable without compromising functions. Gartner is not aware of other software that can quantify the vulnerability of a process or a system in a rational and comprehensive manner that relates to system complexity and how uncertainty impacts those systems. By enabling manufacturers to use complexity as a design attribute, they can reduce complexity without compromising function,
thus making the systems more robust. The technology has been applied to computer-aided design, illustrating how it is possible to design components so they are as simple as possible, while guaranteeing the desired performance. The software can also be applied outside manufacturing. For example, Ontonix’s approach has been used to assess nuclear power plants and has strong potential for air traffic monitoring and evaluating investment strategies. In contrast,
the mainstream of today’s software predicts and simulates system behavior using deterministic methods that ignore the various unpredictable events that systems often encounter. While leading-edge mainstream software enables some stochastic simulation, it lacks Ontonix’s ability to evaluate the nature of the relationships among critical variables and provide insight into how those variables interact. Ontonix offers its analysis of system complexity as a secure on-demand service. The complete licensed software gives more detail and guidance toward analyzing system vulnerability.

Challenges: This company needs to focus attention on educating the market, publicizing the validation points and educating the technical community. Effective use requires grounding in probabilistic mathematics and complexity science, which underpin the approach. Systems-centric thinking is also essential for success. Mainstream engineers and other technical specialists are not facile with these skills. Therefore, the mainstream’s lack of relevant technical orientation poses further challenges to communicating the value of this technology. Also, even though the technology can yield superior designs, regulatory bodies unfamiliar with the approaches will question design decisions that Ontonix can influence.

Who Should Care: Manufacturers of complex highly engineered systems are top candidates for such software. Devastating consequences of system failures motivate top prospects to adopt this technology. Early adopters and most likely customers come from the automotive, aerospace and nuclear power industries. Engineering managers supported by deep technical specialists should be the decision makers. CTOs should be aware of this technology.”

Below are some of the early examples of Quantitative Complexity Management in Engineering.

Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

1 comment on “Ontonix is Gartner’s Cool Vendor

  1. Great! I see you are all out pushing QCM brand. Best, Mike

    Liked by 1 person

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