The key element of our competitive advantages is our differential knowledge of Bioneurognitive AI systems in general and Complex Reasoning Systems in particular. Introducing in our systems the ability to reason in real time, responding intelligently to complex situations, offers “Hyper-automation” never before  imagined capabilities, while maintaining the ability to control and human supervision. In this sense, our expertise and R&D lines allow us to introduce very advanced reasoning models in the systems (we have identified and modeled almost 500 automatic reasoning techniques). The innovation work of more than thirty years of our principal designer Luis Martín “The Druid”, intellectual father and world expert in complex reasoning systems design and his current lines of innovation in design of advanced architectures of complex reasoning in critical real-time, allow us to offer leading capabilities in this field. As he says colloquially, at the beginning my goal was “Put a Sherlock Holmes in a Reasoning Box”, now and until the end of my work will be “Put a Sherlock, Einstein, Penrose, Mozart, Gauss, Curie, etc in a Virtual Reasoning Boxes”.

Under the main models of complex inductive, deductive, abductive ,retroductive and other unconventional automatic reasoning, we can visualize as an example some sub-models and hundreds of associated techniques that group around them, that we have modeled and tested:

• Analytical Reasoning. 
• Synthetic Reasoning. 
• Argumentative Reasoning.
• Situational Reasoning.
• Analogical Reasoning. 
• Strategic Reasoning.
• Investigative Reasoning.
• Probabilistic Reasoning.
• Predictive Reasoning.
• Counterfactual Reasoning.
• Critical Reasoning.
• Common Sense Reasoning.
• Defeated Reasoning.
• State-Transition Reasoning.
• Complex Domains Reasoning.
• Quantum Reasoning.
• Etc.