Raspberry AI, founded by Cheryl Liu and backed by Andreessen Horowitz with a $23 million Series A, is reshaping how fashion and home brands design and launch products. The platform uses generative AI to let designers visualize, test, and sell products before a physical sample exists—compressing timelines that traditionally span 12 to 18 months down to 3 to 14 days for the fastest players. One major retailer that had never met private-label design deadlines in 20 years turned in specs four weeks early using the platform.
The business impact is measurable. Raspberry measured 15% higher conversion on AI-generated e-commerce product imagery than traditional photo shoots at 80% to 90% lower cost. Wholesale orders are up 1.5x to 2.5x across customers; one major sportswear company changed products and styling live during a Dick's Sporting Goods buyer meeting and secured 2.3x the order. The platform trains its own models for fabric, drape, and physical feasibility, and generates the technical packs factories need to cut and sew—addressing the reality that design acceleration only matters if production can follow. Raspberry works with 460 brands, with 70% using it across three or more departments, most commonly design, e-commerce, and marketing.
Liu is now exploring image engine optimization—measuring which angles, models, and lighting convert best for each brand—as the next frontier beyond SEO and GEO. This shift from slow, sample-heavy design to rapid, AI-driven iteration represents a structural change in how commerce teams compete on speed and margin.