Their likeness.Your liability.
Register your clients. Set usage boundaries. Generate proof that holds up when disputes happen.
VerifiedDeepfakes turned likeness into an attack surface.
This is no longer niche. AI-generated impersonations are now routine in scam ads, fake endorsements, and reputational hit jobs.
For agents, the problem is operational as much as legal:
A fake endorsement can go live in hours.
The clean-up can take weeks.
The commercial damage is immediate.
The proof conversation is messy: who owns what, what was consented to, what is authentic?
Liken exists to make that proof legible and enforceable.
Built for the people who carry the risk.
Talent agents & management
Clients whose face, voice, and name drive real revenue and reputation.
Sports & NIL teams
Athletes whose likeness is monetised across sponsorship, merch, and media.
Public figures & estates
Individuals and representatives managing long-term commercial rights and legacy.
Identity rights infrastructure. Not another takedown workflow.
Takedowns are reactive. Policy is not machine-readable. And “he said, she said” does not scale.
Identity registration
A verifiable record tying a real person to their likeness attributes: face, voice, public persona references.
Consent & usage boundaries
Define what is allowed: endorsements, training, synthetic voice, replicas, political ads, adult content exclusions, time-bound campaign permissions.
Proof you can actually use
Exportable evidence for platforms, advertisers, partners, and counsel: what was authorised, by whom, and when.
Monitoring-ready rails
Infrastructure designed to plug into detection, platform reporting, and enforcement workflows without forcing you to replace your stack.
This is the difference between chasing fires and owning the ground truth.
The legal landscape is moving. But the harm happens first.
Industry and regulators are responding to AI replicas and deepfakes, but even when the law is on your side, you still need:
A clear ownership record.
A consent record.
An audit trail you can share quickly with platforms and partners.
Liken is the operational layer that makes legal and commercial action faster.
Simple workflow. Enterprise-grade outcome.
Register the client
Capture identity details and likeness references in a controlled, consented flow.
Set policy once
Define what is allowed, disallowed, or requires explicit approval.
Issue permissions for deals
Create time-bound, campaign-bound approvals for brands, studios, platforms, or licensees.
Generate verifiable proof
Produce a shareable record that answers "is this authorised?" without ambiguity.
Support enforcement
When misuse happens, you have a clean package for platform escalation, counsel, insurers, and brand partners.
Fewer emergencies. Stronger deals. Cleaner leverage.
Reputation protection
Reduce the probability and impact of fake endorsements and synthetic scandals.
Commercial control
Make it harder for third parties to exploit likeness without licensing.
Faster approvals
Move from bespoke email chains to explicit permissions and receipts.
Credible proof
A consistent evidence layer for disputes, compliance conversations, and partner negotiations.
Where agents are already getting burned.
A verified-looking ad uses your client's face and voice to promote a product they have never touched.
A synthetic voice is used in an audio spot, then reposted across platforms.
A brand claims implied consent because content was public.
A partner wants AI replica rights, but the scope is vague.
A reputational hit job spreads faster than your ability to document what is fake.
The registry and consent layer platforms can actually integrate.
We are building rails that sit underneath the ecosystem: platforms, marketplaces, advertisers, and AI systems. Your agency should not have to rebuild trust from scratch every time a new tool appears.
If you manage NIL, you need an enforceable source of truth.
We will walk you through how Liken works, the consent model, and where it fits into modern NIL and reputation risk.
Private, exploratory, and tailored to your client profile.