Raspberry AI

Raspberry AI is the premier, enterprise-grade generative AI platform and creative assistant engineered to serve as the definitive, industry-aware design orchestration layer for global fashion brands, apparel manufacturers, and retail enterprises. Operating as a mission-critical product development and visual merchandising transformation engine, the company eliminates the severe systemic friction of the traditional fashion supply chain—where design teams routinely face multi-week production delays, excessive physical sampling costs, and fragmented workflow loops between initial creative briefs and factory-ready specifications—by deploying an advanced, cloud-native generative workspace. Moving far beyond generic text-to-image generators, Raspberry AI unifies sketch-to-render pipelines, 3D avatar-to-photorealism enhancements, automated seamless print and pattern generation, and virtual on-body try-on telemetry into a single, high-performance studio companion. The platform empowers apparel designers, merchants, and creative directors to dynamically translate rough ideation briefs into high-fidelity, brand-consistent visual assets while slashing product development timelines by months. Under the hood, its sophisticated technical core—backed by $29 million in venture capital from top-tier institutional investors like Andreessen Horowitz (a16z), Khosla Ventures, and Greycroft—natively orchestrates customized, fine-tuned foundational models trained exclusively on a brand's unique aesthetic DNA, secure SOC 2 Type II compliant private cloud isolation, and deep workflow handoffs to downstream production systems. What sets Raspberry AI apart is its uncompromising dedication to bridging the gap between performance-intensive, high-velocity generative creativity and real-world manufacturability; by enabling design groups to iterate through dozens of photorealistic silhouettes and colorways in minutes without wasting fabric, the firm enables modern retail giants to radically maximize their concept-to-market velocity, eliminate sampling waste, and build an unassailable foundation for sustainable commercial scale.