Problem

Fashion product development is slow, expensive, and coordination-heavy: teams can spend weeks moving from sketch to sample to photoshoot, while hours are lost coloring sketches, reworking CAD files, or trying to predict how prints, textures, and color blocking will look in reality. Misalignment among designers, merchandising teams, and buyers creates costly rework. The clearest use case is replacing early physical sampling and studio work with rapid visual iteration: Raspberry says its customers can save up to 60% on samples, and one customer reported saving roughly two weeks of sampling time.

Product / Service

Raspberry AI is a fashion-specific generative-AI software platform that turns sketches, CAD files, and 3D avatars into photorealistic garment and campaign visuals. Teams can generate and edit colorways, prints, trims, materials, silhouettes, on-model imagery, lifestyle scenes, animation, and virtual try-ons, allowing them to test more concepts before committing to samples or photoshoots. The platform is designed to cover the workflow from concept and prototyping through marketing, rather than serving only as a generic image generator.

The delivery model is paid software with individual, team, and enterprise plans, including usage-based credits, commercial licenses, team administration, custom-trained brand models, custom workflows, APIs, and enterprise support. It integrates with fashion and creative tools such as Browzwear, CLO3D, Adobe, Miro, Coloro, and related production workflows. Raspberry’s core benefit is faster concept-to-market execution with fewer sampling rounds, lower content-production costs, and outputs tailored to a brand’s aesthetic.

Market

Raspberry competes in generative AI for fashion design and retail, sitting at the intersection of fashion-design software, digital product creation, visual-content production, and virtual merchandising. Its competitive set includes specialized design and marketing platforms such as Refabric, Vizcom, and VIIMstudio, as well as broader apparel-design alternatives including Browzwear, Renderforest, and InkSoft. Raspberry differentiates itself by positioning the product as purpose-built for the full fashion design-to-market workflow and by integrating with established 3D and color-management tools.

The company appears commercially active rather than pre-revenue: it was founded in 2022, reports more than 100 B2B customers by April 2026, and names Under Armour, MCM Worldwide, Gruppo Teddy, and Li & Fung among its customers. It has raised $24 million in Series A funding led by Andreessen Horowitz and $28.5 million in reported total equity funding. Public materials disclose customer and efficiency metrics but not revenue, so the strongest evidence of traction is paid-plan availability, enterprise activity, named brand adoption, and reported reductions in sampling and design time rather than a disclosed revenue figure.