Complexity-based Control Systems: A Safeguard Against the Fragility Cliff
Incorporating AI into the industry and other branches, such as network and infrastructure management or manufacturing and production, will increaseContinue Reading
is powered by Quantitative Complexity Management
Incorporating AI into the industry and other branches, such as network and infrastructure management or manufacturing and production, will increaseContinue Reading
SCADA (Supervisory Control and Data Acquisition) is an industrial control system architecture used for high-level supervision and control of geographicallyContinue Reading
Artificial Intuition, as defined by Ontonix, is 4th-generation AI technology that doesn’t require historical data and training. Instead, it examinsContinue Reading
We provide our computational engine OntoNet™ that can be integrated into any SW platform or IT infrastructure such as SCADA,Continue Reading
The success of AI hinges on the quality and diversity of its training data. AI models learn from a vastContinue Reading
Since its founding in 2005, Ontonix has focused its QCM (Quantitative Complexity Management) technology on protection, problem prevention, ‘robustification’, earlyContinue Reading
The fastest and easiest way to try our QCT-powered Artificial Intuition technology is order a mini-PC with a pre-installed, six-monthContinue Reading
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
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