TechCrunch News 01月14日
Raspberry AI raises $24M from a16z to accelerate fashion design
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Raspberry AI是一家初创公司,利用文本到图像的AI平台,帮助设计师快速可视化和迭代设计理念,加速产品开发流程。创始人Cheryl Liu在2022年底抓住了生成式AI在图像领域的突破机会,将技术应用于时尚设计。与传统方法相比,Raspberry能够快速生成数百种设计方案,无需订购物理样品,也无需使用耗时的CAD工具。该平台允许设计师将草图转化为逼真的图像,帮助品牌决策是否生产。目前,Raspberry已拥有70家客户,包括Under Armour等知名品牌,并成功融资2400万美元,用于技术研发和市场拓展。

🚀Raspberry AI通过文本到图像技术,让设计师能够近乎即时地将设计想法转化为视觉效果,极大缩短了产品开发周期。

🎨与传统设计流程相比,Raspberry平台无需订购实物样品,也无需使用复杂的CAD工具,设计师可以直接看到不同材料和印花的设计效果,从而快速决策。

💰Raspberry已获得包括Andreessen Horowitz在内的多家投资机构的青睐,成功融资2400万美元,这表明市场对AI在时尚设计领域的应用前景充满信心。

🌟Raspberry的独特之处在于其能理解行业特定的术语,例如“毛绒毛衣”等,这使得其生成的图像更加精准,更符合设计师的期望。

The world of fashion is moving at a faster pace each year. Most retailers introduce new styles each season, and fast-fashion companies like Shein, H&M and Zara update their collections continuously.  To keep pace with the rapid demand for new styles, brands and manufacturers have been turning to tech to accelerate their design process.

Raspberry AI, a startup founded two years ago, is one of the technological solutions that helps expedite product development by allowing designers to visualize and iterate their ideas nearly instantly with its text-to-image platform.

Rasberry’s founder Cheryl Liu, who was a private equity analyst at KKR focused on retail before working for Amazon and DoorDash, spotted an opportunity to apply generative AI to fashion design right after image models like Open AI’s DALL-E and Stability AI‘s stable diffusion became available in late 2022.

“For the first time in history, you could rapidly create hundreds of designs in a way that you could never do before,” Liu told TechCrunch. She explained that before generative AI, designers would often have to order physical samples to visualize their ideas, which would take weeks.

The other alternative was to use older computer-aided design tools like Browzwear and Adobe’s Photoshop.

But with Raspberry designers can turn their sketches into photo-realistic images just as they would appear on the brand’s website. Those images can help brands decide if they want to manufacture the product, according to Liu.

“You can see the same foundational piece in a lot of different materials and prints,” she said. “No company is going to order 50 different sample iterations for one single product, but now they can see 50 different iterations of a single design.”

The product quickly became popular with brands. Today, Raspberry counts 70 customers, including fashion houses like athletic brand Under Armour, Groupo Teddy, an Italian manufacturer with 8840 stores across 39 countries, and luxury designer MCM Worldwide.

Such fast growth has helped Raspberry raise a $24 million Series A led by Andreessen Horowitz, with the participation of existing investors Greycroft, Correlation Ventures and MVP Ventures. The funding comes about 10 months after the startup’s $4.5 million round.

Andreessen Horowitz was interested in investing in an AI company that can accelerate the fashion manufacturing process, said Bryan Kim, a partner at the firm. “We had met with multiple companies and got excited about Cheryl as a founder and how she approaches building a company.”

Of course, it also helped that Raspberry has “marque clients that are very, very large and important,” Kim added.

While Liu acknowledged that Raspberry competes with other AI image generators like Midjourney, DALL-E, and Adobe Firefly, a key reason why professional designers choose her company’s product is its ability to understand and accurately interpret industry-specific terminology.

She gave an example of the word “fuzzy sweater.”  She explained: “There’s a lot of [design specific] terminology behind that sweater that a Midjourney does not know.”

Another design-specific feature that Raspberry offers is the ability to create images from sketches.

Raspberry will use the funding to hire engineering, sales and marketing professionals and expand into home, furniture and cosmetics product design.

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Raspberry AI 时尚设计 生成式AI 产品开发 文本到图像
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