Complexity Economics Engineering

SAIC Advanced Wildfire Planning Introduces Quantitative Complexity Management (QCM)/Artificial Intuition

From NASA Earth Sciences web page:

“SAIC is pleased to partner with NASA on a wildfire applications project that utilizes Artificial Intuition, a Quantitative Complexity Management (QCM)-based computational engine, to pinpoint locations and areas of environmental stress that can lead to elevated wildfire risk. The QCM algorithm is similar to how the human brain processes images and identifies anomalies and patterns that highlight changes, or complexity, in an environment. Identification of key areas of risk can also help predict where prescriptive techniques can be used for risk reduction.

QCM can ingest numerous data sources and cover very large geographical areas with an initial goal of enabling forest and wildland personnel time to plan prescribed burns, anticipate burn potential, and even support post fire burned area response teams. 

This model-free approach requires less data and no training to produce useful results, when compared to conventional Artificial Intelligence/Machine Learning (AI/ML) solutions.  The QCM approach also allows for integration with traditional AI and ML functions to streamline and accelerate pre-processing, verification, and validation. 

SAIC has a legacy of experience with QCM/Artificial Intuition on several technology development programs with the DoD, DHS, FAA and other government agencies and is proud to collaborate with Ontonix ( on our approach to test the technique on wildfire risk.  Initial efforts will provide historical wildfire case studies that investigate areas of forest system stress (ignition zones).  As part of this effort, the Climate Enterprise at SAIC will coordinate with federal, state and local operational stakeholders to verify and validate outputs.  Other potential applications of Artificial Intuition include the ability to predict regions of risk due to flooding, drought, extreme weather, and climate change.”

SAIC ( is an Ontonix customer.

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 “SAIC Advanced Wildfire Planning Introduces Quantitative Complexity Management (QCM)/Artificial Intuition

  1. Reblogged this on Cognitive Business and commented:
    What would it mean for you if you could anticipate and gain quantitative foresight on regions that are at risk due to flooding, drought, extreme weather and climate change?

    If you are located in Africa and seeking effective and comprehensive assumption-free quantitative climate risk management to make well-informed decisions and enhance decision-making capabilities, you have the opportunity to directly engage with the capabilities of Ontonix. Discover the power of Ontonix in Africa by visiting


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