THE PRACTICAL SIDE OF POSSIBILITY
Less guesswork.
Better preparation.
Useful starting points for documenting your workflow, reading policy evidence, and researching your next move.
Your next submission,
better prepared.
Follow the Track Submission Kit’s three steps to create an AI disclosure, a company inquiry and a printable track record. Members also receive The AI Music Licensing Playbook, Aaron Davison’s 191-page ebook. Both resources are included with the Directory on monthly and annual plans.
U.S. Copyright Office
AI initiative
Reports and registration guidance from the original source.
↗02 / PLATFORM TERMSSuno rights
and ownership
Read current terms for the plan, output, and dates relevant to you.
↗03 / FREE NEWSLETTER GIFTA more informed
licensing workflow
Preview the free PDF and get it when you join the newsletter.
↗OUR RESEARCH APPROACH
Context is
part of the listing.
Separate the business models.
Licensing representation, marketplaces, labels, distribution, and exposure-only services serve different goals. A distributor is not automatically a sync agency, and a company licensing its own AI catalog may not accept outside creators.
Keep the AI distinctions.
Policies can differ for human-authored tracks using AI vocals, AI-assisted production, and substantially generated music. Filters indicate what the research mentions; the full policy and your specific workflow determine eligibility.
Date the evidence.
Member directory entries distinguish a dated source review from a research snapshot. Evidence dates stay attached to the research, and policies may change between reviews.
Keep uncertain routes visible and qualified.
Emerging features, unclear outside intake, and secondary-source claims are labeled for confirmation. Pay-per-track submission listings are excluded from the active directory. Membership and distribution fees remain relevant and are labeled where reported.
Updates follow editorial review.
Directory research is reviewed editorially and retains source links and dates. New evidence can replace older findings; the published source and your specific workflow should be checked before acting.
ABOUT THE AI SYNC LAB
Built for the curious.
Grounded in the work.
We research the changing relationship between AI, music licensing and distribution. The AI Sync Lab combines company research, practical education and industry context to help musicians understand their options and prepare their next move.
Aaron Davison
Aaron is a songwriter and founder of The Sync Lab. The AI Sync Lab builds on that practical music licensing perspective, with a focus on AI-created and AI-assisted music.
Explore The Sync Lab ↗