Adobe just launched AI Foundry, a new enterprise service that builds custom generative AI models trained on companies' own branding and intellectual property. The move positions Adobe to capture enterprise AI budgets by offering branded content generation at scale, directly challenging generic AI tools with personalized alternatives that maintain brand consistency across campaigns.
Adobe is making its boldest play yet for enterprise AI dollars. The creative software giant launched Adobe AI Foundry on Monday, a service that builds custom generative AI models trained specifically on companies' branding and intellectual property - a direct shot at generic AI tools flooding the enterprise market.
The foundry service represents Adobe's bet that enterprises want more than off-the-shelf AI. Instead of using generic models that produce generic content, companies can now work with Adobe to fine-tune custom versions of its Firefly AI models using their own visual assets, brand guidelines, and creative materials.
"This is elevating a lot of the capabilities we already had," Hannah Elsakr, Adobe's vice president of generative AI new business ventures, told TechCrunch. "The enterprise has asked us to come in and advise us, help us, partner with us, be our premier creative marketing AI partner on this."
The timing couldn't be better for Adobe. Since launching Firefly in 2023, enterprises have already used these AI models to create more than 25 billion assets - proving there's massive demand for creative AI tools that understand brand standards. Now Adobe's packaging that proven technology into personalized engines that can produce text, images, video, and even 3D scenes while maintaining brand consistency.
What makes this different from competitors is Adobe's approach to training data. While other AI companies scrape the web and deal with copyright concerns, Firefly models were built entirely on licensed content. When enterprises add their own IP to the mix, they get custom models without the legal headaches that plague other AI implementations.
The business model shift is equally strategic. Unlike Adobe's traditional per-seat licensing, the foundry service uses usage-based pricing - similar to cloud computing services. This lets Adobe capture more revenue from heavy AI users while making the service accessible to companies wanting to test custom AI before committing to large deployments.
Elsakr painted a picture of how this works in practice. A company could create one ad campaign for a product, then use their custom Adobe model to automatically generate the same campaign across different seasons, languages, or formats. "It's highly personalized," she explained. "We've been talking about personalized commerce for so long, but generative AI and Firefly make it possible to put the brand in the hand of the consumer in an on-brand way."
