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EU AI Act – GPAI Code of Practice

Incorporating Bria Models In European Union

(Updated Sept 1. 2025)

Dear Valued Customer,

As you intend to use and/or integrate our Bria 3.2 model, we want to ensure you have all the information needed to successfully incorporate our AI model into your systems. This Model Documentation Form is part of our commitment to transparency and compliance related to our development of General-Purpose AI models, in compliance with some specific provisions of the EU AI Act, which came into effect in August 2025.

Why are we sharing this information?

As a downstream provider integrating Bria's general-purpose AI model into your systems, you need comprehensive technical details to:

  • Understand our model's capabilities

  • Meet your own compliance obligations under the AI Act

  • Build trust with your end users through transparency

What is included as part of this form?

This documentation provides detailed information about our model's technical specifications, training methodology, licensing terms, and acceptable use policies. We've organized the information to help you quickly find what matters most for your specific use case, whether you're building creative tools, enhancing workflows, or developing new AI-powered products.

Our Commitment to Partnership

Bria has signed the EU's General-Purpose AI Code of Practice, demonstrating our dedication to responsible AI development. This Form includes all the information to be documented as part of Measure 1.1 of the Transparency Chapter of the Code of Practice. By providing this detailed documentation proactively, we're not just meeting regulatory requirements, but we are supporting your success and ensuring our partnership is built on transparency and trust.

If you have questions about any aspect of this documentation or need additional technical details for your integration, please don't hesitate to reach out to our team. We're here to support your AI journey every step of the way.

Best regards,

Bria Team

Public Notice: Bria AI Compliance with EU AI Act "GPAI Code of Practice" Requirements

We are pleased to announce that Bria has successfully complied with the Code of Practice Requirements under the EU AI Act and is now making available its Copyright Policy and Public Summary of Training Content as required by law. We have also gone beyond our legal responsibilities and published the comprehensive Model Documentation Form - a detailed technical specification document that we are only required to provide to our downstream customers upon request, but which we are now making publicly available to demonstrate our unwavering commitment to transparency and industry leadership.

At Bria, we believe that innovation and responsibility go hand in hand. As a leading generative AI company building rights-cleared, attribution-based models for enterprise use, we are proud to be among the first to demonstrate full compliance with the European Union's groundbreaking AI Act requirements.

What did Bria implement:

✓ Transparency Commitment: We have successfully implemented the transparency commitments of the EU's General-Purpose AI Code of Practice, demonstrating our dedication to responsible AI development and transparent business practices.

✓ Public Documentation Available: Our comprehensive Public Summary of Training Content is now publicly accessible, providing detailed information about our model training data, sources, and compliance measures.

✓ Comprehensive Copyright Policy: Bria has implemented and published a comprehensive Copyright Policy that establishes our framework for copyright compliance in AI development, including exclusive use of commercially licensed training data, proprietary attribution technology for fair compensation to data licensors, robust technical safeguards to prevent copyright-infringing outputs, rigorous due diligence procedures for third-party data sources, and accessible communication channels for rightsholder concerns.

Access Our Compliance Documentation:

You can now access our Copyright Policy, Public Summary of Training Content, and detailed Model Documentation Form, which provide comprehensive information about:

  • Training data sources

  • Technical specifications and model capabilities

  • Copyright compliance policies and procedures

  • Data processing methodologies and safeguards

Our Commitment to Responsible AI:

This compliance milestone reflects our core belief that generative AI can be both innovative and ethical. Through our proprietary attribution technology and exclusive use of licensed training data, we continue to demonstrate that responsible AI development is not only possible but commercially viable.

We invite you to explore our compliance documentation and discover how Bria is setting new standards for trustworthy AI development in the European market and beyond.

For questions about our AI Act compliance or to access our documentation, please get in touch with us at legal@bria.ai

Effective Date: September 1st , 2025

Public Summary of Training Content for General-Purpose AI models required by Article 53 (1)(d) of Regulation (EU) 2024/1689 (AI Act)

Provider name and contact details:Bria Artificial Intelligence Ltd.
Authorised representative name and contact details:Vered Horesh at legal@bria.ai
Versioned model name(s):Bria 3.2.
Model dependencies:N/A
Date of placement of the model on the Union market:June 10, 2025
ModalityTraining data sizeTypes of content
TextUp to 19.2 billion tokensImage data enrichment
Image479 million imagesFully licensed images provided by Bria data partners
Latest date of data: acquisition/collection for model training:Latest date when data was collected/obtained for the model training: 06/2025
Description of the linguistic characteristics of the overall training data:N/A
Other relevant characteristics of the overall training data:Bria's training data is sourced exclusively through commercial licensing agreements with data partners globally, ensuring diverse representation across cultures, ethnicities, ages, genders, and geographical locations. The dataset maintains balanced coverage across domain categories while incorporating content from multiple international markets. All training data consists of human-created content with explicit commercial use releases, deliberately excluding public figures, harmful materials, or copyrighted fictional characters.

2. List of data sources

2.1. Publicly available datasets

Have you used publicly available datasets to train the model?No

Fully licensed images provided by Bria data partners through commercial licensing agreements with rightsholders globally. All training data is sourced exclusively through transactional commercial licensing agreements that explicitly authorize the use of licensed content for generative AI model training purposes. Each licensing agreement includes comprehensive warranties and representations from data licensors confirming their full legal right, title, and authority to license the data objects and grant the rights necessary for AI training applications.

2.2. Private non-publicly available datasets obtained from third parties

2.2.1 Datasets commercially licensed by rightsholders or their representatives

Have you concluded transactional commercial licensing agreement(s) with rightsholder(s) or with their representatives?Yes
If yes, specify the modality(ies) of the content covered by the datasets concerned:Image

2.2.2 Private datasets obtained from other third parties

Have you obtained private datasets from third parties that are not licensed as described in Section 2.2.1, such as data obtained from providers of private databases, or data intermediaries?No
General description of non-publicly known private datasets obtained from third partiesAll content is sourced from its rightsholders or their authorized representatives who have obtained all necessary model releases, property releases, and intellectual property clearances.

2.3. Data crawled and scraped from online sources

Were crawlers used by the provider or on behalf of?No

2.4. User data

Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model?No
Was data collected from user interactions with the provider’s other services or products used to train the model?No

2.5. Synthetic data

According to the AI Office's instructions, this Section does not refer to the use of AI models to clean or enrich data (e.g., AI-generated metadata to enrich or modify a dataset, such as creating text descriptions of images). Bria does use captions generated with third-party AI models for enrichment of its data.

Was synthetic AI-generated data created by the provider or on their behalf to train the model?No

2.6. Other sources of data

Have data sources other than those described in Sections 2.1 to 2.5 been used to train the modelNo

3. Data processing aspects

  • Respect for the reservation of rights from the text and data mining exception or limitation

Are you a Signatory to the Code of Practice for general-purpose AI models that includes commitments to respect reservations of rights from the TDM exception or limitation?Yes
Describe the measures implemented before model training to respect reservations of rights from the text and data mining (TDM) exception or limitation expressed pursuant to Article 4(3) of Directive (EU) 2019/790 before and during data collection, including the opt-out protocols and solutions honoured by the provider or, as applicable, by third parties from which datasets have been obtained:No data scraping is performed

3.2. Removal of illegal content

General description of measures taken: Bria’s training data sourcing methodology inherently prevents illegal content inclusion through exclusive use of commercially licensed datasets obtained from verified professional data partners and established image bank providers. All training data consists of human-created content with explicit commercial use releases, deliberately excluding public figures, harmful materials, copyrighted fictional characters, or any unlawful content. Our comprehensive due diligence procedures require all data providers to warrant their full legal right and authority to license content, provide representations confirming non-infringement of third-party intellectual property rights, and maintain detailed chain-of-title documentation. We implement content moderation filters to prevent the generation of harmful or biased content and enforce strict guidelines against generating harmful or offensive content. Our data collection process emphasizes cultural sensitivity and maintains rigorous permissions systems with periodic compliance audits to ensure continued adherence to legal standards. Since Bria does not engage in web-crawling or utilize publicly accessible online content, the risk of incorporating illegal or unauthorized material is systematically eliminated at the source.