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Overview
Bria is a visual AI platform for enterprises that generates images and video from structured instructions rather than open-ended prompts. Instead of describing a picture in natural language and hoping for a consistent result, users specify lighting, camera angle, composition, background and individual objects explicitly through Visual Generative Language, which the page describes as VGL. The company says the same specification produces the same result each time.
The page is aimed at businesses that produce large volumes of visual content, such as marketing and creative teams. It describes the problems of rework, compliance risk and slow time to market that come with uncontrolled generative AI pipelines, and positions Bria as a way to keep creative work compliant, efficient and ready to scale.
For developers, VGL is presented as structured data that can sit inside code pipelines, CI/CD workflows and version control. Specs can be validated programmatically, and two specs can be compared so that only the changed outputs are regenerated. Bria offers SDKs, iFrames, APIs, an MCP server, Photoshop and Figma plugins, and what the page calls skills, which are individual capabilities that can be called through MCP or an API and combined in a pipeline.
On licensing, the FAQ states that Bria's models are trained on licensed data from Getty Images, Alamy and Envato, and that outputs are covered by IP indemnification. It also lists SOC 2 Type II, ISO 27001, GDPR and EU AI Act compliance.
On deployment, the page says Bria can run on Bria Cloud, in the customer's own AWS or Azure account, on premise or fully air-gapped. Customers can choose where their inputs, outputs and training data are kept.
The platform is organised into products including Visual Engine, Media Suite, Ads and Catalog, and Tailored Generation. Bria's pricing is not stated on the page beyond a structured data entry showing an offer price of 0 USD, which does not identify a plan, so no paid price is listed here. Enterprise customers are invited to contact the team for a solution.
- The problem it solves
- Enterprise teams need large volumes of brand-consistent, commercially safe visual content produced at speed
- Who it's for
- Businesses (B2B)
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