Our core mission is the reverse engineering the efficiency of human learning to solve problems efficiently by computers. Drawing on our backgrounds in neuroscience, mathematics, and computer science, we model how the human brain comprehends the world with an energy consumption that is comparable to a light bulb, and despite significant data limitations. Our software prototype have shown promising potential to achieve state-of-the-art performance for certain types of commercial applications, most notably for optimisation software for solving combinatorial optimisation. Our overarching objective is to transform years of research into a technology with broad-reaching adoption.