Q-Sense is a start-up employing a mix of young developers, experts in learning technology and AI, plus experienced trainers and education professionals. These are the people developing the Q-Sense platform. It works as follows: learning activities are translated into learning objects and placed in Q-playlists, customized to the trainee or student’s profile. Data on the student’s behavior is gathered during all the activities, such as information on knowledge development, motivation and skills. This data is compared with the data of other students. Based on this “big data”, Q-Sense analyzes learning progress and provides the system with suggestions for adjusting the learning process. All of this is done on the basis of live-performance analysis (based on learning objectives and tasks, not only based on knowledge).