IMAGE GENERATION
RASPBERRY AI
Fashion-trained generative design with real runway proof, best suited to brands ready to change how early development actually runs.
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THE FULL REVIEW
THE PROOF THAT AI BELONGS IN THE DESIGN ROOM.
Raspberry AI made the CB Insights 2026 AI 100 as the only creative AI application on the list. Sketch-to-Render is trained on fashion-specific data that understands drape, trim, fit, and texture. Kate Spade uses it, and Theophilio visualized its SS26 NYFW collection entirely before a single sample was cut. It integrates with Browzwear, Adobe, Miro, and Coloro.
The value shows up when it replaces early proto rounds, which means changing the development calendar, not adding another tool on top of it. Brands still spending heavily on throwaway sample rounds have the most to gain and the most process to unwind.
WHERE IT EARNS ITS PLACE
Concept development, sketch to render, print and colorway iteration, and on-body visualization that cuts early proto rounds before anything is sewn.
WHERE WE WOULD NOT USE IT
Final fit decisions, grading, or campaign imagery. It is a development tool, not a substitute for a fit sample.
WHERE IT FITS
BRIEF
Define the concept, target silhouettes, and the fabrics in play.
EXPLORE
Push sketches through Raspberry AI for renders, prints, and colorways.
SELECT
Review on-body visualizations and pick the styles worth a physical proto.
PRODUCE
Cut samples only for approved styles and finish development as usual.
CREATIVE DIRECTOR'S NOTE
THE MOST CREDIBLE EVIDENCE YET.
The most credible evidence that AI belongs in the design room. The Theophilio NYFW collaboration is a real proof point. A collection visualized with Sketch-to-Render before a single sample was cut, then shown on a real runway. That is the conversation I want to have with every brand still spending 30% of their development budget on early sample rounds they throw away.
BOTTOM LINE