Adobe AI Foundry May Let Enterprises Build Custom Generative AI With Brand IP On Firefly Models

• Adobe Foundry produces text, images, and videos tailored to brand IP

• It uses continuous pre-training to overweight brand elements, a process Adobe calls deep tuning rather than simple fine-tuning

• Early adopters include The Home Depot and Disney Imagineering, indicating enterprise-grade applicability

Adobe AI Foundry retrains models with enterprise IP for scalable, branded content—boosting efficiency and personalization across campaigns globally today.

What is Adobe AI Foundry and how does it work?

Adobe AI Foundry is an enterprise AI platform that lets brands train Firefly-based models on their own intellectual property, producing customized text, images, and videos. It uses continuous pre-training to overweight brand elements, then charges by usage rather than seats, enabling faster, brand-consistent content at scale. The offering sits on top of Adobe’s Firefly family of AI models, which were introduced in 2023 and trained on licensed data.

How does deep tuning differ from traditional model fine-tuning?

Adobe describes deep tuning as a process that “reweights” the base Firefly models with a company’s IP to emphasize specific brand elements, shots, styles, and guidelines. Unlike standard one-off fine-tuning, deep tuning is designed to be iterative and ongoing, allowing the model to stay aligned with evolving brand campaigns while maintaining access to the broader capabilities of the underlying Firefly models. This approach aims to preserve general model knowledge while prioritizing brand-specific outputs.

Frequently Asked Questions

What is the pricing model of Adobe AI Foundry?

Adobe AI Foundry uses a usage-based pricing model rather than a seat-based licensing approach. Enterprises pay for compute and model usage as they generate branded content across channels, aligning costs with consumption and enabling scalable experimentation for marketing campaigns.

How can brands use AI Foundry for branded content updates?

Brand teams can automatically adapt advertisements for new seasons, languages, or formats using the platform’s continuous pre-training and deep tuning. This enables campaigns to preserve a consistent look and feel while reducing the time and effort required to re-create assets for different markets or formats.

Key Takeaways

• IP-driven customization: The ability to train models on a company’s own brand assets supports bespoke outputs at scale.
• Continuous model adaptation: Deep tuning enables ongoing alignment with evolving branding without starting from scratch.
• Enterprise-ready validation: Early customers like The Home Depot and Disney Imagineering suggest suitability for large organizations seeking reliable content workflows.

Conclusion

Adobe AI Foundry represents a notable shift in how brands harness generative AI by combining Firefly’s capabilities with enterprise IP and ongoing specialization. The approach emphasizes scalable, brand-consistent content generation with a focus on usage-based costs and continuous adaptation. For crypto brands and Web3 marketers, the model offers a pathway to accelerate asset production—ranging from ad creatives to multilingual campaigns—while preserving a distinctive brand identity. As the technology matures, expect more enterprise-facing capabilities to address governance, IP protection, and compliance in regulated industries. Publication and update dates accompany this report, with COINOTAG serving as the author/organization for this coverage.

Publication date: 2025 • Last updated: 2025-10-20

Author: COINOTAG