Rubato is an innovative technology that matches music to the listener’s physiological and psychological
state. We are using algorithms and machine-learned data, based on bio-metrics and musical attributes.
Our mission is to recommend music that scientifically optimize well-being while exposing individuals to
new repertoire of music.
Our technology analyzes individual cardiac and breathing rhythms and selects music based on key attributes like tempo, key, scale, and structure.
Our SaaS platform connects wearables and music providers, to deliver a playlist that affects and optimizes pertinent biomarkers in a measurable manner, boosting music’s proven benefits.
We use DNN (Deep Neural Networks) to identify and cluster different musical attributes, as well as HRV (Heart Rate Variability) vectors in large scale, to quantify music’s effect. Based on proprietary analysis method, we determine a scientific match between music and biomarkers, and generate insights for personal music recommendation.