QCM (Quantitative Complexity Management) technology has been around for twenty years. The applications span numerous fields, such as engineering, medicine, air traffic, economics, finance, society, or pharma. QCM can measure the complexity of things and explain its nature and constitution. This allows to “select the simpler option” on scientific grounds, not based on sensations or feelings.…

Regardles of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities, i.e. where to focus. Very often, if not always, one must cope with a limited budget (money, time, equipment, manpower, etc.) as well as constraints and conflicting requirements. And yet, decisions must be made, sometimes on the fly. Again, it is paramount…

Following the Spanish blackout earlier this year, our post-mortem analysis has shown how Artificial Intuition could have provided a two-day early warning. Since we only analysed very high level data, like real, estimated and planned consumption, we could only have issued an alarm but without explaining why. Given the immense economic and reputational damage that such events cause, we thought…

Over the past twenty years, Ontonix has explored and worked on hundreds of applications of its QCM-powered Artificial Intuition technology, in many cases in industrial projects with large corporations. This blog focuses not on listing these application cases, or categorizing them. Rather, the goal is to show what conditions and contexts can motivate the usage of this unique technology regardless…

The negative consequences of high complexity for corporations and organizations are profound and multifaceted, impacting efficiency, agility, and ultimately, their bottom line and long-term viability. High complexity acts as a silent tax on every aspect of an organization, draining resources, slowing momentum, stifling innovation, and ultimately threatening its survival in a fast-paced market.…

Complexity-based augmentation of conventional control systems means there is an additional control layer which produces feedback so as to drive a the complexity of given system to desired levels. The block diagram below illustrates the concept and shows the QCM component contributing to tradition feedback loop. In essence, a complexity-based control system is an advanced hierarchical type of…

On May 27th 2025, Ontonix has released a Multi-Processor version of its QCM/Artificial Intuition technology. The Multi-Processor version of our QCM/Artificial Intuition technology is major step when it comes to solving very large-scale problems, such as infrastructure protection, monitoring of industrial plants, processes and critical equipment, or traffic systems, as well as on-board processing…

In a recent blog on the massive blackout in Spain we have discussed how innovative monitoring of highly complex systems, such as the electrical grid, can produce early warnings of increasing grid fragility, giving time to intervene and, at least, to limit the damage. A subsequent blog discussed the dynamics and inherent fragility of super complex systems, and how this fragility cannot be spotted…