01

Your work.
Your rights.

Permissions
1.0 Rights infrastructure

AI changed how human work is used.

Rights infrastructure needs to catch up.

RIGHTS makes ownership and AI permissions legible at internet scale.

Our position
2.0 Detection

Discover
if your work
is being used.

Move the cursor to look inside

Trace your work across the systems built from human creativity.

Concept. Detection is in development. This is a representation of dataset analysis, not a live inspection of any third-party model.

3.0 Rights protocol

Claim once.Set the terms.

What a declaration records

RIGHTS records the creator's declared preference, the work identity, the timestamp, and the applicable machine-readable rights signal.

A declaration states the creator's terms. It does not by itself determine legal outcomes in every jurisdiction.

04 How we speak
[ DNT1 ]

Do Not Train signal

[ RDS2 ]

Rights declaration standard

[ CRN3 ]

Collective rights network

At RIGHTS Rights that travel with the work.

One creator has terms. A network has leverage.

Research

The rights signal
made readable by machines.

Where permission becomes legible

A rights declaration is only useful if a machine can find it, read it, and act on it. We work on the identity of a work, the signal attached to it, and the evidence that the two belong together.

Committed to open, auditable rights signals for human work.

4.0 The archive

The peoplebehind the work.

—

Human work is not training material by default.

5.0 Company

Rights.Policy.Technology.

6.0

A shared rights layerchanges the balance.

Creators should not have to negotiate with AI companies one by one.

7.0 Working across

RIGHTS sits between creators and the systems that use their work. Not against AI. Not for scraping. Infrastructure.