Submission + - Content providers working to identify and flag AI generated music (theverge.com)
SonicSpike writes: A new category of infrastructure is quietly taking shape that’s built not to stop generative music outright, but to make it traceable. Detection systems are being embedded across the entire music pipeline: in the tools used to train models, the platforms where songs are uploaded, the databases that license rights, and the algorithms that shape discovery. The goal isn’t just to catch synthetic content after the fact. It’s to identify it early, tag it with metadata, and govern how it moves through the system.
“If you don’t build this stuff into the infrastructure, you’re just going to be chasing your tail,” says Matt Adell, cofounder of Musical AI. “You can’t keep reacting to every new track or model — that doesn’t scale. You need infrastructure that works from training through distribution.”
Startups are now popping up to build detection into licensing workflows. Platforms like YouTube and Deezer have developed internal systems to flag synthetic audio as it’s uploaded and shape how it surfaces in search and recommendations. Other music companies — including Audible Magic, Pex, Rightsify, and SoundCloud — are expanding detection, moderation, and attribution features across everything from training datasets to distribution.
The result is a fragmented but fast-growing ecosystem of companies treating the detection of AI-generated content not as an enforcement tool, but as table-stakes infrastructure for tracking synthetic media.
Rather than detecting AI music after it spreads, some companies are building tools to tag it from the moment it’s made. Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata.
“If you don’t build this stuff into the infrastructure, you’re just going to be chasing your tail,” says Matt Adell, cofounder of Musical AI. “You can’t keep reacting to every new track or model — that doesn’t scale. You need infrastructure that works from training through distribution.”
Startups are now popping up to build detection into licensing workflows. Platforms like YouTube and Deezer have developed internal systems to flag synthetic audio as it’s uploaded and shape how it surfaces in search and recommendations. Other music companies — including Audible Magic, Pex, Rightsify, and SoundCloud — are expanding detection, moderation, and attribution features across everything from training datasets to distribution.
The result is a fragmented but fast-growing ecosystem of companies treating the detection of AI-generated content not as an enforcement tool, but as table-stakes infrastructure for tracking synthetic media.
Rather than detecting AI music after it spreads, some companies are building tools to tag it from the moment it’s made. Vermillio and Musical AI are developing systems to scan finished tracks for synthetic elements and automatically tag them in the metadata.