Fashion focused generative AI platform Raspberry AI lands $24 million in Series A funding led by a16z

Raspberry AI, a generative AI platform for fashion creatives working with Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung, has secured $24 million in Series A funding led by Andreessen Horowitz (a16z).

Existing investors Greycroft, Correlation Ventures and MVP Ventures also participated in the round, along with angel investors including Gokul Rajaram and Ken Pilot.

Raspberry AI will use the cash to accelerate its product development and add engineering, sales and marketing talent to its team.

The company provides an AI image generation platform that helps retail brands in understanding consumer demand and creating highly sought after designs and marketing assets in minutes. The platform enables brands to create full mood boards, lifestyle photography, product photography and technical drawings through text prompts.

“Over the past five years, the combination of fleeting social media trend cycles, the on-demand economy, consumers’ insatiable appetite for newness and the rise of fast fashion has fundamentally changed the way consumers shop,” says Cheryl Liu, CEO and Founder at Raspberry AI.

“As a result, brands and manufacturers are being challenged to change the way they design and develop products. We’re excited to partner with these visionary investors to empower fashion creatives ranging from designers to product developers to marketers with next-generation tools that allow them to create and market best selling products more quickly, efficiently and sustainably.”

“Raspberry AI supercharges creative teams by leveraging AI at every stage of the design workflow,” says Bryan Kim, Partner, Andreessen Horowitz. “The comprehensiveness and technical depth of the platform have led to strong customer love and some of the strongest engagement metrics we’ve seen for AI tools. We believe that Raspberry AI will rapidly scale and transform the way creative teams design and develop retail products.”

“Raspberry AI provides powerful tools that fit our unique fashion design needs,” says Mattia Giorgi, Head of AI and Innovation, Gruppo Teddy. “The solution gives our team the freedom to quickly create, iterate and bring their visions to life through highly realistic renderings that capture even the most subtle design details, helping us translate market insights into designs that excite our customers.”

Raspberry AI’s machine learning team also works with enterprises to custom train AI models to learn their brands’ unique DNA, aesthetic and fabric libraries. The company plans to expand its gen AI capabilities beyond fashion into home, furniture and other retail categories in the coming year.

ashion focused generative AI platform Raspberry AI lands $24 million in Series A funding led by a16z

RTIH AI in Retail Awards

RTIH, organiser of the industry leading RTIH Innovation Awards, proudly brings you the first edition of the RTIH AI in Retail Awards, which is now open for entries. 

As we witness a digital transformation revolution across all channels, AI tools are reshaping the omnichannel game, from personalising customer experiences to optimising inventory, uncovering insights into consumer behaviour, and enhancing the human element of retailers' businesses.

With 2025 set to be the year when AI and especially gen AI shake off the ‘heavily hyped’ tag and become embedded in retail business processes, our newly launched awards celebrate global technology innovation in a fast moving omnichannel world and the resulting benefits for retailers, shoppers and employees.

Our 2025 winners will be those companies who not only recognise the potential of AI, but also make it usable in everyday work - resulting in more efficiency and innovation in all areas.

Winners will be announced at an evening event at The Barbican in Central London on Thursday, 3rd July. This will kick off with a drinks reception in the stunning Conservatory, followed by a three course meal, and awards ceremony in the Garden Room.

Please email our Editor, Scott Thompson, if you have any questions or need further information: scott.thompson@retailtechinnovationhub.com

FAQs

Is there a fee to enter the awards?: No, it is free of charge.

Can I enter across multiple categories: Yes.

Do I need to complete all the sections in the entry form? No, but the more information you provide, the better chance you have of producing a successful submission.

Is there a certain timeframe for nominated projects, initiatives etc? Yes, nominated projects, initiatives etc should have been completed (or substantially completed) during the last 12 months.

Who has visibility of our completed entry form and what information will be public should we win or be shortlisted? Only our Editor, Scott Thompson, and judging panel will view submissions. The information provided in the summary section of the entry form will be made public.

Do you only accept entries from UK-based companies? No, we accept entries from all parts of the world.

What is the shortlists process? Shortlists will be announced in April 2025, then shortlisted entries will be sent to our independent judging panel who will decide upon the winners and highly commended submissions. Shortlisted companies will be invited to attend an awards ceremony at The Barbican in Central London on Thursday, 3rd July 2o25.

Do winners and highly commended companies receive post-event coverage? Yes, post-event coverage includes articles on our website and also an in-depth awards review in our printed magazine. There is also the opportunity for a company profile type piece to be published on our site and within our magazine.

When is the deadline for 2025 submissions? Friday, 23rd May 2025.

When will the 2025 winners be revealed? Winners will be announced at an event at The Barbican in Central London on Thursday, 3rd July. This will kick off with a drinks reception, followed by a three course meal, awards ceremony, and after party featuring DJ until midnight.

Who will be judging submissions? Details of our 2025 judging panel will be announced in the near future.