Catch it at intake
Screen every artist, release, or account before it reaches your catalogue. Risk score back in a sub-second call.
Fraud intelligence for music
The music industry's shared defence against fraud.
Distributors and DSPs fight the same bad actors alone. Groovian turns those private banlists into a shared network, so when one organisation catches a threat, everyone else can stop it at the door.
Critical24
Content156
Identity89
Network feed
14:22CRITArtificial streaming ring5 orgs
14:21HIGHStolen content match3 orgs
14:19HIGHArtist impersonation4 orgs
14:17MEDISRC recycling pattern2 orgs
One flag, many doors
When one organisation reports a threat, the rest of the network can stop the same actor on the next signup.
Hashed before it leaves
Customer information is hashed in your environment. Groovian never sees the plaintext, and cannot reverse it.
Bring your banlist
Upload what you already keep. See what the network already knows, and stop maintaining a private fraud database.
How it works
Screen incoming content before it ships.
Drop the Groovian integration into intake, signup, and payout. Day-one access to existing intelligence. No contribution required to start.
Instant risk scores
JSON back with a score, severity, and the signals behind the match. Auto-block, send to review, or accept.
Corroboration counts
See how many other distributors and DSPs have already flagged the same artist, release, or account.
match true
risk_score 72
signals 5
severity high Profile A · HIGH John Smith +1 415 555 0100 fp:a91f3c
Profile B · CRITICAL Bob Smyth +1 415 555 0100 fp:a91f3c
Same phone and device, different name. Linked across 4 distributors.
Entity matching
One bad actor, many aliases.
Bad actors open a new account and keep the same phone, the same device, a slightly different name. When those identifiers collide across the network, Groovian connects them.
Shared identifiers
Device fingerprint, phone, signup IP. The fields people reuse when they think a new name is enough.
Account farms
Same signup subnet, six names, one operation. The network flags the cluster, not just the row.
Day-one wedge
Bring the banlist you already have.
Upload it once. Three things happen at once: you see what partners already know, you stop running a private fraud database, and your flags start protecting you the next time that actor comes back under a new name.
Match on arrival
Your existing flags get compared against signals from every other partner. Overlaps surface immediately.
Protect the next attempt
Every signal you submit is anonymised within seconds and starts matching incoming screens from other members.
Records uploaded 2,148
- Already corroborated by other partners
- New to the network
Pay for the fix, or pay for the fallout.
Most fraud teams catch incidents after the chargeback, after the takedown notice, after royalties have already shipped to a bad actor. Screening at intake moves that cost to a single call.
After the fact
Catching fraud late
Customer chargebacks on distribution fees. DSP royalty clawbacks. Reversed artist payouts. Relationship strain when repeat offenders keep coming from your catalogue.
At intake
Catching fraud early
One screening call before content reaches your catalogue. Analysts spend time on novel attacks, not patterns the network already caught. Subscription costs less than a single chargeback-heavy incident.
When one organisation catches a threat, everyone benefits. That is the whole product.
Spotify began charging $10 per artificial-streaming track in 2024 as part of its November 2023 royalty system update. Late detection is a line item now, not a shrug.
08Categories tracked
100+Bulk screening size
What sets the network apart
Shared intelligence without sharing your customer list, your sources, or which competitor filed the flag.
Linked 3 IDs Same device, same phone
Aliases get joined
Confusable characters, recycled phones, shared fingerprints. The match is the product, not another dashboard tile.
New account at intake Risk score 72 · high
Wired in a day
The SDK handles hashing, normalisation, and transport. Engineering connects it to the pipeline you already run.
Other partners see Count, severity, timeline
They never see Who filed the signal
Anonymised to everyone but you
Hashed at the source. Anonymised to other members. Your competitive intelligence stays yours.
What we track. What you can screen.
The fraud types music distribution actually sees, plus the identifiers you already collect at intake, signup, or payout.
Fraud types
Artificial streaming Stolen content Metadata laundering ISRC recycling AI-generated uploads Artist impersonation Playlist manipulation Payment abuse And more
Identity
Company information Contact information Tax and finance Internet and browser signatures
Content
ISRC ICPN (UPC/EAN/JAN) and GRID ISWC/BOWI ISNI/IPN/IPI DSP identifiers and URLs Asset and release metadata
Common questions
What is Groovian?
Groovian is a shared fraud intelligence network for music distributors and DSPs. Members screen incoming artists, releases, and accounts against industry-wide fraud signals before distribution, and contribute their own fraud detections back to the network. Your customers’ information is securely hashed before submission, so plaintext never reaches Groovian and submissions are anonymised to other partners.
Do I need to share signals before I can screen?
No. The moment you connect, you get screening access against the existing network. Contributing your own signals isn't required to start, but every flag you submit makes the network sharper for every other distributor and DSP.
Can other distributors see what I flag?
No. Submissions are anonymised to other partners. They see corroboration counts, severity, and timeline, never which organisation reported the signal. Your competitive intelligence stays yours.
How long does integration take?
Engineering can wire the SDK into your intake pipeline in a day. The SDK ships in every major language and handles the encryption and hashing, normalisation, and transport for you.
Is my customer data secure?
Yes. Your customers’ information is securely hashed before submission, so Groovian never sees the plaintext and cannot reverse it.
Are you in production yet?
Currently in private beta with select music distributors and DSPs. Talk to our team about access if you're serious about fraud control.
What types of fraud do you cover?
Multiple, including artificial streaming, stolen content, metadata laundering, ISRC recycling, AI-generated uploads, artist impersonation, playlist manipulation, payment abuse, and more.
Are you GDPR and CCPA compliant?
Yes. The network only ever holds cryptographic hashes, no recoverable PII. Hashed-only sharing satisfies GDPR and CCPA out of the box.
What happens after I submit a flag?
Your signal is anonymised and added to the network immediately. Other partners' screens start matching against it within seconds. Webhook notifications back to you when other partners corroborate are coming soon, currently in development.
Why hasn't this existed before?
Two reasons. First, we solved the difficult problem of sharing fraud intelligence between competitors without leaking sensitive data. Second, competing distributors and DSPs had no neutral place to share signals, so no one moved first. We're building both.
Stop catching the same bad actor twice.
Private beta with select music distributors and DSPs. Talk to us about access if you are serious about fraud control.
Investing? We are raising a strategic round