30+
Licensed data partners
Every generation traced. Every creator compensated. Every output defensible.

Most generative AI has three problems that compound over time:
Models trained on scraped web data can't improve—the best content is behind paywalls, creators are hostile, and training sets stagnate.
No one can tell you what's actually in the training data. A single lawsuit or regulatory shift could invalidate models you've built your product on.
When you fine-tune or customize a model with your proprietary assets, those assets enter a black box. Can you prove they stay protected? Can you audit who accessed what?
We built a system where creators, customers, and model quality are aligned by design, with full transparency at every layer.

Piracy nearly broke the music industry. Spotify did not win by ethics alone. It won by building a better product through a sustainable model. Artists earn from real usage. Users get unlimited access. The product improves continuously.
Bria applies the same model to generative AI.
Every asset in our training pipeline comes from commercial agreements with 30+ data partners. Each piece of content carries a unique identifier linking it to source, creator, and license terms. No scraping. No synthetic data. No gray areas.
Our patented engine analyzes every generation, measuring which training content influenced the result. It creates an irreversible vector—capturing attribution data without exposing source material or enabling reproduction.
Not all influence is equal. The system scores original works based on how strongly they shaped specific concepts in each output. A work that influenced your generated output scores higher than one that didn't.
Works exceeding relevance thresholds earn ongoing compensation:
Unique content earns more — If your work uniquely influences outputs, you capture more value
Common concepts share revenue — Widely-used themes distribute across contributors
Catalog growth doesn't dilute earnings — Compensation ties to influence, not catalog size
This is why premium creators actively license to Bria. Their best works earn more.
This isn't charity. It's a flywheel that compounds over time.
Piracy nearly broke the music industry. Spotify did not win by ethics alone. It won by building a better product through a sustainable model. Artists earn from real usage. Users get unlimited access. The product improves continuously.
Bria applies the same model to generative AI.
Every asset in our training pipeline comes from commercial agreements with 30+ data partners. Each piece of content carries a unique identifier linking it to source, creator, and license terms. No scraping. No synthetic data. No gray areas.
Our patented engine analyzes every generation, measuring which training content influenced the result. It creates an irreversible vector—capturing attribution data without exposing source material or enabling reproduction.
Not all influence is equal. The system scores original works based on how strongly they shaped specific concepts in each output. A work that influenced your generated output scores higher than one that didn't.
Works exceeding relevance thresholds earn ongoing compensation:
Unique content earns more — If your work uniquely influences outputs, you capture more value
Common concepts share revenue — Widely-used themes distribute across contributors
Catalog growth doesn't dilute earnings — Compensation ties to influence, not catalog size
This is why premium creators actively license to Bria. Their best works earn more.
This isn't charity. It's a flywheel that compounds over time.
The world's leading content platforms trust Bria with their catalogs.
Licensed data partners
Millions of premium, human-created assets
Continuously refreshed
Full IP indemnification backed by documented chain of custody. We know exactly where every output comes from.
When you fine-tune with proprietary content, our architecture keeps your data isolated and auditable. Clear boundaries. No commingling.
EU AI Act compliant. Public training data summaries. Copyright policy documentation. Built for transparency from day one.
Your AI partner won't face existential lawsuits or training data controversies. Our model aligns everyone's interests.