Adobe announced the launch of AI Foundry, a service designed for companies to develop custom generative AI models based on their intellectual property. Unveiled on October 20, 2025, in the United States, the product enables greater control over creating content in formats like image, video, audio, vector, and 3D. The initiative aims to meet demands for accelerated corporate media production, leveraging Adobe’s existing technologies.
Adobe executives highlight that the service marks an evolution in AI tool monetization, with projects supported by specialized teams.
- Models based on Firefly ensure pixel-perfect precision and brand compliance.
- Initial partnerships include Walt Disney Imagineering and Home Depot for optimized creative workflows.
- Pricing follows a usage-based model, unlike per-user licenses in other products.
The platform facilitates the shift from experimental AI tests to practical, enterprise-scale applications.
Technical foundation of the service
AI Foundry leverages the Firefly model family, launched in 2023 and trained solely on licensed data. This foundation ensures outputs are safe for commercial use and aligned with corporate intellectual property standards.
Developers fine-tune models with client-specific assets, such as logos and visual styles, in a collaborative process.
Initial partnerships and applications
Walt Disney Imagineering adopts AI Foundry to enhance customer interactions in entertainment projects. The division explores multimodal content generation that respects Disney’s creative universe, speeding up visual narrative iterations.
Home Depot uses the tool to scale digital marketing materials, focusing on product descriptions and interactive experiences.
- Creation of personalized videos for installation tutorials.
- Generation of vector images for online catalogs.
- Production of narrative audio for in-store advertisements.
These implementations showcase the service’s versatility across diverse sectors.
Integration with existing resources
Adobe incorporates expertise from Invoke, a generative media company, into the AI Foundry team. This partnership strengthens capabilities in creative production, blending AI engineering with studio practices.
Projects involve data scientists and engineers mapping use cases from conception to deployment.
The process includes iterative validations to align outputs with corporate quality standards, reducing approval cycles.
Companies gain dedicated support, focusing on scalability for high-volume daily content generation.
Advances in content modalities
Custom models support multiple modalities, expanding beyond static images to dynamic videos and interactive 3D scenes. This breadth addresses needs for omnichannel campaigns where visual consistency is critical.
Developers train systems with proprietary datasets, ensuring elements like color tones and typography remain true to brand identity across formats.
The multimodal approach enables automation in workflows, such as batch editing for social media or e-commerce assets.
Collaborative development process
Companies begin engagement by defining specific goals, like optimizing asset production time. Adobe’s team conducts workshops to identify key training assets.
Implementation occurs in phases, with beta testing to refine output accuracy and relevance.
- Phase 1: Analysis of intellectual property and scope definition.
- Phase 2: Training and fine-tuning of Firefly models.
- Phase 3: Integration into Creative Cloud tools and performance monitoring.
- Phase 4: Continuous optimization based on operational feedback.
This structure ensures deliveries align with efficiency and innovation goals.
Revenue and market expansion
AI Foundry introduces a consumption-based pricing model, tailored to varying production demands. This strategy aligns costs with tangible outcomes, like generated content volume.
Adobe positions the service as a growth driver, targeting the expanding enterprise AI market. Similar tools have impacted creative sectors, with growing adoption since 2023.
Contributions from partners like Invoke add expertise in audio and video, broadening appeal for media industries.