WHAT WE DO
Hyperlive creates unique, data-driven value for artists, record labels, music repositories, and rights-holders. Our algorithm models a range of neurobiobehavioural responses to music in the population-at-large, allowing us to quantify musical engagement on a fundamental, multi-sensory level. Our algorithm can be used to predict commercial potential of new songs, develop sync/licensing opportunities, value copyright collections, and much more. Scroll down for some example data, check out our Spotify predictions for BBC Music artists at SXSW 2018, or discover how accurately we predicted streams and sales performance of $1B-worth of hit songs.
MODELLING MUSICAL ENGAGEMENT
We model a range of neurological, physiological and behavioural responses to music as well as the psychological processes that underpin them. This gives us a deep understanding of what drives musical engagement on a fundamental level, allowing us to quantify, model and predict that engagement — and the musical features that motivate it — with unmatched levels of precision.
QUANTIFYING EARNING POTENTIAL
A major application of our model is in predicting the earning potential of new songs. Because our algorithm models fundamental, mass-scale responses to music, we can predict to a high degree of accuracy how successful a song is likely to be before it's released. This helps minimise risk and maximise return on what’s often a substantial investment. In the process, copyrights associated with these more successful tracks naturally increase in value.
SYNC, BRANDING, GAMING AND MORE
Our algorithm has a range of additional applications across the broader music industry, from sync and branding to gaming and copyright-valuation. Contact us to learn more.