Rubato is developing a technology that matches music to the listener's physiological and psychological state. The company utilizes algorithms and data based on machine learning, biometrics, and musical attributes. Its mission is to recommend music that scientifically helps people manage their stress, anxiety, and sleep quality by turning enjoyable music listening experiences into scientific biofeedback treatment. Rubato's technology analyzes individual cardiac and breathing rhythms and selects music based on key attributes such as tempo, key, scale, and structure. It then curates and delivers a personalized playlist that affects and optimizes the pertinent biomarkers, boosting music's scientifically proven benefits in order to help people improve their health and overall wellbeing. The company uses deep neural networks to identify and cluster different musical attributes, as well as heart-rate-variability vectors in large scale to quantify the music's effect. Based on a proprietary analysis method and algorithms, Rubato determines a scientific match between music and biomarkers, and generates insights for personal musical recommendations. It also provides a bio-hacking dashboard to track the music's effect on the body.