Research & Technology
Beyond Artificial Intelligence – Meet Artificial Intuition
Artificial Intuition is not just a smarter AI — it's a different kind of intelligence. In a world ruled by turbulence and complexity, it offers the one thing every system needs: resilience.
2000
In the early 2000s, aerospace engineer and scientist Dr. Jacek Marczyk identified a growing gap in the way modern systems are managed. Traditional risk models, based on probability and assumptions, failed to anticipate real-world crises — including the 2008 financial meltdown.
2009
In response, Dr. Marczyk developed Quantitative Complexity Theory (QCT) and later Quantitative Complexity Management (QCM) — a groundbreaking methodology that measures complexity as a physical property of systems.
In 2005, he founded Ontonix. By 2009, QCM evolved into a resilience rating system, offering a scientific alternative to credit ratings — one that measures a system’s ability to withstand shocks, rather than guessing its probability of default.
2025
Today, QCM powers Artificial Intuition, a fourth-generation form of intelligence that identifies anomalies and emerging risks in real time, without relying on machine learning or prior knowledge. It has been used in industries ranging from nuclear energy and automotive electronics to aerospace, banking, and wildfire prevention (in collaboration with NASA and SAIC).