The AI-Powered Future of Fashion Design
The fashion industry is evolving at breakneck speed, with retailers launching new styles seasonally and fast-fashion giants like Shein, H&M, and Zara refreshing collections almost weekly. To meet this relentless demand for innovation, brands are increasingly turning to cutting-edge technology—and Raspberry AI is leading the charge.
From Concept to Creation in Seconds
Founded two years ago by former KKR analyst and Amazon/DoorDash veteran Cheryl Liu, Raspberry AI harnesses generative AI to transform fashion design workflows. The startup’s text-to-image platform enables designers to visualize and iterate ideas instantly—a process that traditionally took weeks through physical sampling.
“Generative AI has unlocked unprecedented creative potential,” Liu told TechCrunch. “Where designers once struggled to produce multiple variations, they can now generate hundreds of options in minutes.”
Why Major Brands Are Choosing Raspberry AI
Unlike generic AI tools like Midjourney or DALL-E, Raspberry AI specializes in fashion-specific capabilities:
- Industry-Terminology Understanding: Accurately interprets design jargon (e.g., “fuzzy sweater” specifications)
- Sketch-to-Image Conversion: Transforms rough drawings into photorealistic product visuals
- Material Visualization: Shows designs in multiple fabrics/prints without physical samples
This specialization has attracted 70+ clients including Under Armour, Gruppo Teddy (8,840 stores globally), and luxury brand MCM Worldwide.
$24M Series A Fueling Expansion
Andreessen Horowitz (a16z) led Raspberry’s latest funding round, joined by Greycroft, Correlation Ventures, and MVP Ventures. The \(24M investment follows a \)4.5M seed round just 10 months prior.
“Cheryl’s vision for AI in fashion manufacturing stood out,” said a16z partner Bryan Kim. “Combined with their impressive client roster, Raspberry represents a transformative opportunity.”
What’s Next for Raspberry AI
The funding will accelerate:
- Team growth in engineering, sales, and marketing
- Expansion into adjacent verticals (home goods, furniture, cosmetics)
- Enhanced AI capabilities for design professionals
As Liu notes: “We’re not just creating pretty pictures—we’re building the future of product development.”
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