Rubato

Los Angeles, California, United States

AI / MLPrecision Medicine/Diagnostics

Rubato is developing a biometrics-based music recommendation technology that matches music to the listener's physiological and psychological state. The company synthesizes adaptive AI models and personal biomarkers to deliver music that optimizes well-being while exposing individuals to a new musical repertoire. 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 well-being. The company uses deep neural networks (DNN) to identify and cluster different musical attributes, as well as HRV vectors in large scale to quantify music's effect. Based on a proprietary analysis method, Rubato determines a clinical match between music and biomarkers, and generates insights for personal musical recommendations as well as to predict the music's effect on different audiences.