We address the socio-technical aspect of the human challenge to develop neuro-systems for hardware recognition and self-learning systems. We can help you in your business for decision making, planning, communication and information sharing.
The Company advocate to use Cognitive System Engineering principals and Artificial Intelligence as a mean to incorporate cognitive demands, constraints and goals. To comprehend the complex problems or a given information set a model-based design is adopted for functional or data flow of the system, use case scenarios and system diagram to populate decision matrix (via statistical analysis, reliability analysis, system dynamics, optimization techniques and feedback processing.