Headai's technology, General Semantic AI, is a combination of machine learning, unsupervised learning, reinforcement learning and natural language processing. It relies on self-organizing neural semantic networks to collect insights from data. Semantic neural networks link together information from chosen sources such as Open Data, archives, files, registries and many more. Knowledge domains and their entities are modeled to create conceptual models, digital twins, which are comparable with each other. The solution is language independent. It is used for predictive analytics and simulation to empower data-driven, secure and explainable decision-making for labour markets, investment markets, education and training.