About us

We’ve made this possible by building an extremely curious, unfathomably knowledgeable machine learning system. Think of it as a ‘listening machine’ whose only desire is to truly understand music; to get to the very source of the magic of music, if you will. The more it learns, the more it can tell us, and the more precise and relevant our recommendations are to the listener. Of course, the path to better music streaming wasn’t a straight line…

When Moodagent was founded two decades ago, it was with a desire to improve the music discovery experience, expose listeners to more music, and artists to new fans. We saw that other music services were limiting themselves to a cluster of static playlists, plus some statistical options to suggest more of what’s already being listened to. We had higher ambitions. We wanted to create a system with intuitive tools for navigating the millions of tracks available. Something that instantly gives you the right music for your mood of the moment. Playlists that feel personal to you, playlists you can interact with emotionally, and that adapt to your taste and mood, as well as the changes to the ever-expanding catalog of songs out there. So we came up with the idea of the interactive playlist.