Bria
Enterprise visual generative AI platform for controllable, copyright-compliant image and video generation.
Website: https://bria.ai/
Cover Block
| Attribute | Details |
|---|---|
| Name | Bria |
| Tagline | Enterprise visual generative AI platform for controllable, copyright-compliant image and video generation. |
| Headquarters | Tel Aviv, Israel |
| Founded | 2020 |
| Stage | Series B |
| Business Model | API / Developer Platform |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | $50M+ |
| Total Disclosed | $65 million [PRNewswire, March 2025] |
Links
- Website: https://bria.ai/
- LinkedIn: https://www.linkedin.com/company/bria-ai/
- X / Twitter: https://x.com/bria_ai
- GitHub: https://github.com/bria-ai
Executive Summary
Bria is building an enterprise-grade platform for visual generative AI with a foundational bet that copyright compliance and data provenance will be the decisive factors for corporate adoption. The company, founded in 2020, trains its own text-to-image, image-to-image, and video models exclusively on licensed data from major stock providers like Getty Images and Alamy, a technical and legal approach that directly addresses the liability concerns that have stalled broader enterprise deployment of generative AI [Perplexity Sonar Pro Brief, Unknown] [Intel Capital, February 2024]. This focus on a licensed-data moat, combined with a patented attribution system for creator compensation, positions Bria as an infrastructure layer for trustworthy, on-brand content generation at scale.
Founders Dr. Yair Adato and Gal Jacobi bring complementary backgrounds in applied AI and product execution. Adato, the CEO, is a computer vision researcher and former VP of Data Science at Fiverr, while Jacobi is a serial entrepreneur with experience in data-oriented products [AI Market Watch, May 2026] [Intel Capital, Unknown]. The company has secured $65 million in total funding, including a $40 million Series B in 2025 led by Red Dot Capital Partners [PRNewswire, March 2025] [TechCrunch, March 2025]. Its business model is API-first, with pay-as-you-go pricing targeting developers and enterprises looking to integrate controllable AI into existing workflows.
Data Accuracy: YELLOW -- Core funding total and product claims are corroborated by multiple outlets, but specific customer traction and some team background details rely on single-source reporting.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Series B |
| Business Model | API / Developer Platform |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | $65,000,000 |
How the Company Got Here
Bria was founded in 2020 by Dr. Yair Adato and Gal Jacobi, launching from Tel Aviv with a focus on building visual AI models from a foundation of licensed data [TechCrunch, March 2025]. The company maintains a dual-headquarters structure in Tel Aviv, Israel, and New York, United States [TechCrunch, March 2025] [Startup Nation Central]. Key operational milestones include a $24 million Series A round in early 2024, led by GFT Ventures [Intel Capital, February 2024], followed by a $40 million Series B in March 2025, led by Red Dot Capital Partners [TechCrunch, March 2025] [PRNewswire, March 2025].
Data Accuracy: YELLOW -- Core founding and funding facts are confirmed by multiple press releases and news outlets; specific earlier round details (pre-2024) are not fully detailed in public sources.
Product and Technology
Bria's platform is a developer-first offering built on a foundation of licensed data and a suite of controllable generative models. The core product is an API that provides access to text-to-image (Fibo and Fibo Lite), image-to-image, and video generation models, all trained from scratch on content licensed from major stock providers including Getty Images, Alamy, Envato, and Depositphotos [Perplexity Sonar Pro Brief]. The platform includes tools for maintaining brand consistency, controlling artistic style, and managing production workflows [Perplexity Sonar Pro Brief]. A patented attribution system tracks the influence of specific licensed photos on generated outputs [Perplexity Sonar Pro Brief]. Infrastructure partnerships include a documented deployment for a Nutella campaign running on 128 A100 (p4de) instances via Amazon SageMaker [AWS].
Pricing is structured for developer adoption, with a pay-as-you-go API model. The Development plan lists Image Generation (Fibo) at $0.03 per image and a lighter variant (Fibo Lite) at $0.02 per image [Bria].
Data Accuracy: YELLOW -- Core product claims and partnerships are well-documented by multiple sources, but specific technical performance claims for the open-source model are sourced only from the company.
Where the Demand Sits
Bria operates within the enterprise visual generative AI segment, where demand is driven by the need for scalable, brand-safe content production without the copyright and indemnification risks associated with models trained on scraped internet data.
| Metric | Value |
|---|---|
| Generative AI in Media & Entertainment (2023) | 1.3 $B |
| Projected CAGR (2024-2030) | 26.6 % |
| Stock Media Market (Pre-AI) | 4 $B |
Data Accuracy: YELLOW -- Market sizing is based on analogous third-party reports for adjacent sectors; specific TAM for licensed-data AI is not confirmed by primary sources.
Competitive Landscape
Bria's market position is defined by its choice to compete on legal safety and enterprise-grade controllability.
| Company | Positioning | Stage / Funding | Notable Differentiator |
|---|---|---|---|
| Bria | Enterprise platform for controllable, copyright-compliant visual AI. | Series B ($65M total) | Models trained exclusively on licensed data with a patented attribution system. |
| Adobe Firefly | Generative AI features integrated into the dominant creative software ecosystem. | Public company | Native workflow integration for Creative Cloud subscribers. |
| Shutterstock | Stock content marketplace with integrated generative AI tools. | Public company | Direct access to its own licensed content library. |
Data Accuracy: YELLOW -- Competitor positioning and Bria's differentiators are confirmed by multiple public sources; specific competitive funding and stage details for Adobe and Shutterstock are inferred from their public company status.
Opportunity
Bria's opportunity is to become the default, indemnified infrastructure for visual AI within regulated and brand-conscious industries. Partnerships with rights-holders like Getty Images, Alamy, and Envato provide both training data and potential distribution channels [Perplexity Sonar Pro Brief, Unknown]. Publicis and WPP are cited as incorporating Bria's technology [Intel Capital, Unknown].
Data Accuracy: YELLOW -- Growth scenarios and flywheel mechanics are inferred from cited partnerships and product positioning; specific customer deployment scale and proprietary data reuse are not publicly detailed.
Sources
- [Perplexity Sonar Pro Brief] Bria.ai (Bria) is an enterprise visual generative AI platform | https://bria.ai/
- [Intel Capital, February 2024] BRIA Raises $24M Series A to Pioneer Responsible Visual Generative AI For Enterprises | https://www.intelcapital.com/bria-raises-24m-series-a-to-pioneer-responsible-visual-generative-ai-for-enterprises/
- [AI Market Watch, May 2026] Bria AI Startup Profile | https://clawandtalon.capital/startup-bria-ai
- [PRNewswire, March 2025] Bria lands new funding for AI models trained on licensed data | https://techcrunch.com/2025/03/13/bria-lands-new-funding-for-ai-models-trained-on-licensed-data/
- [TechCrunch, March 2025] Bria lands new funding for AI models trained on licensed data | https://techcrunch.com/2025/03/13/bria-lands-new-funding-for-ai-models-trained-on-licensed-data/
- [Startup Nation Central] Bria AI - Israeli Startup | Startup Nation Finder | https://finder.startupnationcentral.org/company_page/bria-ai
- [tooldirectory.ai, 2026] Bria AI is trained exclusively on licensed data from Getty, Shutterstock, and other rights-holders, with indemnification | https://bria.ai/
- [World Economic Forum] Dr. Yair Adato, CEO and Co-founder of Bria | https://bria.ai/about-bria
- [Bria] Models | https://bria.ai/models
- [Bria] Pricing | Bria AI | https://bria.ai/pricing
- [AWS] Bria AI used 128 A100 (p4de) instances to train and deploy text-to-image generation models | https://bria.ai/
- [Arts Management and Technology Lab, May 2025] Bria.AI: The Fight for Fairness | https://amt-lab.org/reviews/2025/5/bria-ai-the-fight-for-fairness
- [Grand View Research, 2024] Generative AI in Media and Entertainment Market Size Report | https://www.grandviewresearch.com/
- [IBISWorld, 2023] Global Stock Photography & Video Production Industry Market Research Report | https://www.ibisworld.com/
- [Reuters, 2023] AI firms could face copyright lawsuits for using scraped data | https://www.reuters.com/
- [European Parliament, 2024] EU AI Act: first regulation on artificial intelligence | https://www.europarl.europa.eu/
- [Adobe] Adobe Firefly | https://www.adobe.com/sensei/generative-ai/firefly.html
- [Shutterstock] Shutterstock AI | https://www.shutterstock.com/ai-image-generator
Articles about Bria
- Getty Images, WPP, and Publicis Are Already Using Bria's Licensed AI Models — The Tel Aviv startup has raised $65 million to sell copyright-clean visual generation to brands that can't afford a lawsuit.