Crossing Minds applies machine learning to enrich the human experience. Using predictive models and taste correlations, we build recommender systems with the ability to adapt to individual and group preferences. Our first product is Hai, a next-generation recommendation platform. Hai enables users to directly train their very own algorithm and discover highly personalized entertainment like films, music, books, TV-shows, video games or restaurants. Over time, Hai specializes in making recommendations as unique as the individual!