Protect your creators. License your catalog.
Attributive AI is rights and licensing infrastructure for content and creator platforms. We register and fingerprint creator-owned work, identify suspected unauthorized use, preserve evidence, and route each case toward enforcement, review, or licensing.
Every match, routed automatically
Fingerprinted at the text, passage, and semantic level — each suspected match returns with a confidence score and a routing decision, not just a flag.
Creator platforms host valuable content. Protecting it at scale is still unsolved.
When creator-owned content is pirated, plagiarized, or potentially included in AI-training datasets without permission, platforms have no reliable way to catch it, prove it, or act on it. Existing solutions either stop at takedowns or are built for major publishers with large catalogs and in-house legal teams. As a result, creator platforms struggle to protect user trust, manage rights at scale, and turn legitimate demand for their catalogs into licensing revenue.
One integration connects content registration, monitoring, rights review, enforcement, and licensing across your platform.
Every label and every closed deal becomes a queryable rights record.
Not a generic rights API for AI companies — that market is already dominated by institutional players cutting direct deals with large publishers. Attributive is building the record for the long tail: every reviewed match, licensing preference, enforcement outcome, and completed deal adds to a structured rights record — who controls a work, which uses are permitted, what terms apply, how revenue should be distributed, and whether permission has changed or been revoked.
As more platforms integrate, Attributive turns fragmented creator catalogs into a queryable, rights-cleared network. AI companies and other content buyers can identify licensable works, verify permissions, and transact programmatically — instead of negotiating with creators one at a time.
Rights Check API
Look up the full rights record for a single work — fingerprint status, matches found, and whether it's currently licensable.
import { AttributiveClient } from "@attributive/sdk";
const attributive = new AttributiveClient();
const rights = await attributive
.works.checkRights("wk_9f2a1c2e");
// → { matches: 14, licensable: true, ... }Sources monitored
A defined, controlled set of sources checked for every registered work — not the entire web on day one.
Network Search API
Query the pool directly — find licensable works across every integrated platform, filtered by use, genre, or terms.
const results = await attributive
.network.search({
use: "training_license",
genre: "literary_fiction",
licensable: true,
});
// → 1,204 resultsRegulation, litigation, and willingness to pay are converging
Rights transparency is becoming an obligation
The EU AI Act now requires general-purpose AI providers to maintain copyright-compliance policies and publish summaries of their training data. In the US, proposed bipartisan legislation like the TRAIN Act signals the same direction — not law yet, but real momentum toward it.
Litigation is setting the rules
Publishers v. Meta over Llama's training data, Jamendo v. Nvidia, and NYT v. OpenAI are actively reshaping what counts as permission, fair use, and infringement in AI training — in real time.
AI companies are already paying for rights
Meta's licensing deal with News Corp is reported at up to $50 million a year; Amazon's deal with the New York Times, $20–25 million a year. The market for licensed content is real — but today it's reachable only by institutions with large catalogs and real negotiating leverage.
A collective rights network for the AI era
Starting with written content and expanding across media formats, Attributive converts fragmented creator rights into rights-cleared catalogs that AI companies, publishers, and content platforms can license at scale.
ASCAP and BMI exist because no individual songwriter could negotiate with every radio station, venue, and streaming service using their music. By pooling rights and administering licenses collectively, they gave creators reach and negotiating leverage they could not achieve alone. Attributive is building analogous infrastructure for creator-owned content in the AI era.
Creators keep ownership. Platforms deepen trust and unlock new revenue. Buyers gain a scalable path to permissioned content.
Keep control, gain leverage
Protection, visibility, and collective negotiating leverage without surrendering ownership.
A rights layer built in
A new rights and licensing layer embedded directly into the creator experience.
Discover, verify, license
One programmatic path to discover, verify, license, and pay for creator-owned content.
We're raising our pre-seed.
Starting with written content and publishing platforms — text and books first, expanding across every format as we grow. We're proving that rights protection can become a revenue layer — not just a takedown workflow.