We produce early warnings of anomalies in manufacturing processes, supply chains, traffic systems, machinery, or networks, hours, even days ahead of time.

Our system does not require examples from which to learn. This is because our technology goes beyond Artificial Intelligence, and Machine Learning.

We detect anomalies or pre-crisis states without using Machine Learning for one very good reason: our clients don’t have the luxury of expensive multiple failures.

A crisis cannot always be predicted but it is possible to identify pre-crisis conditions and scenarios. This is how Artificial Intuition works:

Artificial Intuition “Knows” that Something is Wrong, Without Training, Without Learning

Complexity monitoring produces a unique outcome of paramount importance: quantitative information about the worst-case scenario. In other words, we can answer:

How Bad Can It Get?

The critical state, which is known as critical complexity, and which every system possesses, is not a state of equilibrium. This means that the worst-case scenario is in a state of permanent mutation. Can one build a solid strategy without knowing what the worst case looks like?