Berlin startup AIxchange is tackling AI’s royalty problem with a fair, ethical tool

Key Highlights

• New algorithm measures creativity to distribute AI music revenue fairly
• Covers master and publishing rights for complete music royalties attribution
• Developed with Fraunhofer IDMT and musicologists as industry faces growing legal pressure after RIAA cases against Suno and Udio

AIxchange, based in Berlin, just launched Creative Weight Attribution. The stand-alone product solves a fundamental challenge: ensuring fair compensation for artists and rights holders when any music catalogue is used for generative AI training.

The system goes beyond paying the same amount per track. Instead, the system measures real creativity and musical impact. WIPO research highlights show this technical challenge has become a major roadblock for the industry.

The company developed the patent-pending “Creative Weight Attribution” algorithm with musicologists and AI experts in cooperation with Fraunhofer IDMT, Germany’s largest applied-research organisation. The system addresses both master and publishing rights layers, focusing revenue attribution on what matters most: authentic creativity, relevance, and impact.

The timing makes sense. AI music licensing activity has picked up speed. Companies face growing legal pressure after the RIAA’s landmark cases against Suno and Udio for using unlicensed training data. 

GEMA’s proposed licensing model and STIM’s licensing deal with AI company Songfox – the world’s first license between a music rights society and an AI firm – prove the market wants sophisticated revenue-sharing systems.

Want to learn more about Creative Weight Attribution? AIxchange is open to partnerships with AI companies, CMOs, and large-scale music rights holders looking for fair, scientifically grounded revenue attribution.