ENCRYPTED MUSIC COPYRIGHT
A multidimensional approach to audio encoding and metadata enciphering for the age of AI, enabling supercharged, superfan engagement
Use Cases
Torrent Monetization
The next generation of torrenting, micropayment integration ensures rights holders are compensated when their music is torrented.
Apps & Games
Customizable musical experiences that facilitate fan engagement through multi-channel audio encoding for realtime interaction.
AI Training Data
Machine-readable musical metadata for AI model training, including attribution, analytics and encrypted instant remittence engine.
Torrent
Monetization
Of the millions of music files available on Torrent protocols, many are never monetized.
The Tributary extension introduces monetization to Torrent networks, including full attribution data.
Designed around musical standards that track consumption for settlement on the internet of value.
Apps &
Games
Music is customizable, just like a photo or video edit, anyone now has the power to create a custom remix.
Deepening fan engagement, and unlocking powerful new economic models around music creativity.
Serve music upstream to an ecosystem enabling collaboration between artists and fans alike.
AI Training
Data
AI is training on publicly available music! It’s no secret that AI requires masses of data to create outputs.
Predictably enough, this has led to some blockbuster lawsuits, however it doesn’t have to be this way.
By coupling music metadata with source audio, new distribution rails enable consensual AI training.
