Sign In Start Free Trial
The copyright moat for artists

License Your Music to AI. On Your Terms.

AI models are training on music right now — usually without permission and without a paper trail. BandSaaS gives you the switch: register your catalog, set your terms, and issue machine-readable licences that AI agents must check before they touch your work.

Protect Your Catalog How It Works
Machine-readable licences • Instant revoke • Tamper-evident access log
app.bandsaas.com/dashboard/licensing
app.bandsaas.com/dashboard/licensing
Catalog Registered
every track has an ID
Revoke Anytime
licence off in one click
Register
Give every track a verifiable catalog identity
Set Terms
Allow, price, or block AI training & generative use
Issue Licences
Machine-readable, revocable, agent-to-agent
Audit
A tamper-evident log of every AI access
Step 1 — Registration

Give every track a verifiable identity

You can't defend what you can't identify. BandSaaS registers each track and album with its real metadata — ISRC, UPC, writers, splits — into a catalog identity that AI systems can look up and verify before use.

Real Rights Metadata
ISRC, UPC, songwriter credits and ownership splits captured at CD Baby / distributor grade — the same data labels rely on.
Catalog Identity
Each registration produces a stable ID an AI agent can resolve to check what it's allowed to do — before it trains or generates.
Provenance You Own
The record of who made the work, and who controls it, lives with you — not buried inside a model's training set.
Catalog Registration
Track Beautiful Day
ISRC USX9P1427001
Writers 2 • splits 60/40
Catalog ID 6a5a••••3184
Status Registered
Step 2 — Your Terms

You decide what AI can and can't do

Some artists want to say no. Others want to get paid. BandSaaS makes both a setting, not a lawsuit. Flip training on or off, allow or block generative use, and issue a licence any AI agent can read — and that you can revoke the moment terms change.

Granular Permissions
Separate switches for AI training, generative/derivative output, and commercial use — per track or across your whole catalog.
Machine-Readable Licences
Issued in a format AI agents check programmatically — no PDFs, no guesswork. Consent becomes something software can honour.
Revoke in One Click
Change your mind, change a rate, or pull a licence entirely. Revocation takes effect immediately for every future request.
Licence Terms
AI Training
Generative Use
Sync / Reference
Issued Licence lic_••••••
Revocable Yes — instant
Step 3 — Proof

A receipt for every AI that touches your work

Every time an AI agent checks a licence, requests access, or is turned away, BandSaaS writes it to a tamper-evident access log. That's your evidence trail — the difference between "we think our music was scraped" and "here's exactly who, what, and when."

Every Request Logged
Allowed or denied, the agent identity, the track, the terms it was granted — all recorded automatically.
Tamper-Evident
The log is built to detect alteration, so it stands up as a record when you need to enforce your rights.
Export for Compliance
Pull the full history as JSON or CSV for your own records, your manager, or your lawyer.
AI Access Log
sync-agent••••
Beautiful Day • sync/reference
Allowed
train-crawler••••
Reset (album) • AI training
Denied
gen-model••••
Circumspection • generative use
Denied
How It Works

From upload to enforceable in four steps

Your existing catalog becomes AI-licensable without leaving BandSaaS.

1

Register

Your tracks and albums get catalog IDs with real rights metadata.

2

Set Terms

Toggle training, generative use, and sync — per track or catalog-wide.

3

Issue

Machine-readable licences AI agents must check before they act.

4

Audit

Watch the access log fill in — and revoke anything, anytime.

Your music. Your rules. Your moat.

AI isn't waiting for permission. Register your catalog on BandSaaS and put yourself back in control of how machines use your work.

Start Free Trial Back to Home

We use cookies to ensure the best experience on our site. By continuing to browse, you agree to our use of cookies. Cookie Policy | Privacy Policy