The Most Important Thing: Knowing Your Priorities
Regardless of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities,Continue Reading
is powered by Quantitative Complexity Management
Regardless of your market, industry, context or situation, it is all about making decisions. Decision making hinges on identifying priorities,Continue Reading
Following the Spanish blackout earlier this year, our post-mortem analysis has shown how Artificial Intuition could have provided a two-dayContinue Reading
The Principle of Incompatibility, introduced by Lotfi Zadeh in 1973, states: “As the complexity of a system increases, our abilityContinue Reading
Over the past twenty years, Ontonix has explored and worked on hundreds of applications of its QCM-powered Artificial Intuition technology,Continue Reading
Artificial General Intelligence (AGI) refers to a type of artificial intelligence that possesses the ability to understand, learn, and applyContinue Reading
As we know, Machine Learning, is a long and energy-intensive process, requiring expensive computational hardware and large amounts of trainingContinue Reading
On May 27th, 2025, Ontonix launched a Multi-Processor version of its QCM/Artificial Intuition technology, enhancing capabilities for large-scale problem-solving, including infrastructure and traffic monitoring. This architecture enables real-time data analysis through parallel processing, particularly for molecular simulations and image processing, significantly improving computational efficiency.
A New Paradigm in Early Anomaly Detection. Artificial Intuition identifies problems in complex, critical systems and helps solve them. BeforeContinue Reading
In a recent blog on the massive blackout in Spain we have discussed how innovative monitoring of highly complex systems,Continue Reading
The technology developed by Ontonix is particularly relevant in today’s world, where the complexity of systems and manufacturing processes isContinue Reading









