17 Fashion AI Startups to Watch

AI is becoming the core engine behind how the industry designs, plans, and sells. From generative design tools to intelligent supply-chain mapping and hyper-personalised shopping experiences, a new wave of fashion-specific AI startups is gaining momentum.

These 17 companies (collectively raising over $400M in the past five years) are shaping the next era of efficiency, creativity, and commerce. And more importantly, they’re solving real operational problems that fashion has ignored for decades.

Here are the startups setting the pace and why they matter.

1. Raspberry AI – Design Sprints for the 3D Era

Raspberry AI adapts powerful image-generation models specifically for fashion teams, helping designers iterate prints, silhouettes and details at speed rather than replacing them. Founded in 2022, it has raised about $29 million to build tools that plug into existing workflows rather than force creatives into “prompt-only” design.

What makes it interesting: it’s part of a new category of “fashion-native” AI infrastructure, built for tech packs and pattern references, not generic stock imagery.

2. Refabric – Sampling Without Cutting Fabric

Refabric lets brands upload sketches or CADs and refine them with AI before committing to production, including auto-generating campaign-ready imagery from approved designs. It was selected for the 2024 LVMH Accelerator, raised close to $2.4M, and is quickly becoming a favourite among digitally fluent fashion teams.

And here’s the part that makes it even more exciting: It was founded by a Turkish woman entrepreneur.

In an industry where women-led tech innovation is still rare (especially from emerging markets) Refabric stands out as both a cutting-edge solution and a powerful representation of global creativity reshaping fashion’s future.

3. Blng.AI – Generative Design for Jewellery

Blng.AI focuses on jewellery brands, using generative AI to create new product concepts and accompanying marketing assets in one flow. It launched in 2023 and has raised around $5 million.

If you’re in accessories, this is one of the few platforms built around scale, detail and materials at jewellery level, not just ready-to-wear silhouettes.

4. Imki – Training AI on House Codes

Imki is a European AI design studio that builds custom models for each brand, trained on its aesthetic DNA and archives. It has worked with museums and maisons from its base in Strasbourg and grew out of the SEMIA incubator in Alsace.

Think of it as a way to experiment with AI while keeping your brand language tightly controlled.

5. Spangle AI – Product Pages That Write Themselves

Spangle AI turns raw product data into personalised, SEO-friendly product descriptions for each shopper using proprietary GPT-style models. It already powers parts of Revolve and Alexander Wang’s e-commerce experiences and has raised about $6 million.

For brands drowning in repetitive PDP copy, this is one to watch from both a conversion and productivity point of view.

6. Altana – Supply Chains With X-Ray Vision

Altana maps global supply chains using AI, helping companies identify new suppliers, monitor compliance and flag risk. Clients include L.L. Bean and Skims, and it has raised roughly $200 million since 2018.

As due-diligence, ESG and regulation tighten, tools like Altana move from “nice to have” to board-level priority.

7. Vody – Making Retail Data AI-Ready

Vody positions itself as an AI-optimised data layer for retailers, cleaning and enriching messy catalogues so that any AI tool plugged on top (search, styling, recommendations) actually has reliable information to work with.

It’s not glamorous, but without this kind of plumbing, most customer-facing AI experiences stay mediocre.

8. Depict – From Search Bar to Conversation

Swedish startup Depict helps brands build Pinterest-quality collection pages and now GPT-powered site search that feels like a conversation rather than a keyword filter. It’s integrated with Shopify and Centra and is used by hundreds of fashion and lifestyle brands.

For mid-size brands, it’s a way to get “luxury-level” merchandising logic without an in-house data science team.

9. Sparkbox – Pricing Without Guesswork

Sparkbox uses AI to recommend how much of each style to buy, when to mark down, and how deep to go, so stock isn’t left on shelves or discounted too early. Launched in 2018, it has raised several million dollars and works with fashion retailers across Europe.

It’s particularly relevant in a world where over-buying or mistimed promotions are margin killers.

10. 7Learnings – Smarter Promotions, Fewer Fire Sales

7Learnings also plays in pricing intelligence, but with a strong focus on forecasting the impact of different price scenarios on revenue and profit, then automatically optimising across channels. The Berlin-based company has raised around $16 million and works with retailers in fashion, beauty and beyond.

If you’re trying to move away from blanket discounts toward surgical pricing, this is the kind of engine sitting behind the scenes.

11. Daydream – Search That Thinks Like a Stylist

Daydream, founded by former Stitch Fix COO and THE YES founder Julie Bornstein, is a chat-based fashion discovery platform. Backed by around $50 million from investors including Google Ventures, it connects natural-language queries (“I need outfits for a three-day work trip in Paris”) with real-time inventory from hundreds of brands.

It’s one of the clearest examples of how “agentic” AI could eventually sit between consumers and every multi-brand site.

12. OneOff – Celebrity Style, On Demand

OneOff lets users shop by celebrity or creator instead of by brand: ask for “Hailey Bieber at Coachella” and the AI serves shoppable looks from retailers like Ssense, Mytheresa and Net-a-Porter.

The interesting angle for brands: it’s built around creator-driven discovery and affiliate revenue, not traditional brand loyalty — very aligned with how Gen Z actually shops.

13. Doji – Avatar-First Try-On

Doji creates hyper-realistic avatars from a user’s selfies, then lets them try on outfits from across the web before buying. The 2024-founded app raised a $14 million seed round led by Thrive Capital, with backers including Alexis Ohanian’s Seven Seven Six.

The promise: lower returns, more confidence in fit and a shopping experience that feels closer to gaming than a static product page.

14. Vêtir – A Digital Closet for the 0.01%

Vêtir (often stylised Vetir) targets top-tier luxury clients and their stylists. The app combines AI styling, a smart digital closet and high-touch concierge, helping users plan looks around events and gaps in their wardrobe while pulling from luxury inventories worldwide.

It gives a glimpse into how ultra-personal clienteling may evolve for VIP customers over the next few years.

15. Phia – Price Transparency for Gen Z

Co-founded by Phoebe Gates and climate activist Sophia Kianni, Phia is an AI shopping app that compares prices across both primary retail and resale, estimates future resale value and tracks price drops, all in one interface. It recently raised about $8 million from Kleiner Perkins and high-profile backers including Hailey Bieber, Kris Jenner and Sheryl Sandberg.

For value-conscious, sustainability-minded shoppers, Phia turns “Is this worth it?” into a data point, not a guess.

16. Croissant – Resale Value, Upfront

Croissant is a browser extension that shows you a guaranteed buy-back price (sometimes up to 75 percent) on eligible fashion items at checkout and locks that price in for up to five years.

It effectively builds circularity into the original purchase moment — and gives brands a way to talk about long-term value rather than “wear it once” consumption.

17. Gensmo – The Big-Budget Fashion Agent

Gensmo is positioning itself as a full AI fashion agent: users chat about their vibe, upload photos, generate outfits, try them on virtually and check out via an integrated agentic wallet. The company has raised over $60 million in early funding and is already processing millions of outfit matches.

With its “Vibe Imagine” scenes and avatar-based try-ons, it sits closest to where fashion, content and commerce may merge next.

Conclusion

The rise of these AI startups signals a turning point for the fashion industry. From smarter supply chains to hyper-personalised shopping and lightning-fast creative tools, AI is no longer an experiment, it’s the new infrastructure shaping how fashion thinks, designs, and sells. The companies gaining traction aren’t just riding the hype; they’re solving real problems with precision, speed, and fresh imagination. And as new founders (including women, immigrants, and underrepresented voices) enter the space, the industry’s innovation map is expanding in powerful ways.

For brands, the message is clear: the next era of fashion will be built on intelligence, efficiency, and creativity. Whoever embraces these tools with intention today will define the benchmarks tomorrow.