Our main objective is to create disruptive systems based on advanced AI, which contribute to the excellence in the treatment of the information to be used, the strategies to be planned  and operations to be executed  by the organization, allowing to obtain the objectives set, until reaching the “Organizational Superiority” (concept defined and modeled by our main designer Luis Martín “The Druid”, expressed as the result of the harmonic and evolutionary integration of the systems involved in the informative, strategic and operational superiority), whether corporate, financial, military, criminal, terrorist, environmental, policy, etc. To this end, we maintain advanced lines of innovation in the following areas:

• ISO Superiority Models, Systems and KPIs.
• Automatic Weighting of the Reliability of Information/Knowledge Sources.
• Automatic Intelligence Analysis of Elusive Opponents (Individuals & Orgs).
• Physical/Virtual Intelligence Factories.
• Management of Intelligence Cases/Operations.
• High Precision Strategy EPDE in Real-Time.
• C3D2/Psy Ops Detection, Protection and Weapons.
• Ops Mission Control Support Systems (SCIF, ISA/TFO, QRF).
• Critical Real-Time Reasoning Engine for SOCs & C4ISTAR.

One of the key elements of our competitive advantages is our differential knowledge of Cognitive AI systems in general and Complex Reasoning 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”, a 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 and retroductive automatic reasoning, we can visualize as an example some sub-models and hundreds of techniques that group around them, that we have modeled and tested:

• Analytical Reasoning. 
• Synthetic Reasoning. 
• Argumentative 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.

Likewise, we have created systemic models that allow us to implement them, software tools that automate them and advanced architectures that give us the possibility of creating advanced environments capable of generating thousands of complex reasoning sequences, with the capacity to learn and be continuously optimized.