Fashion technology is expanding across design, commerce, personalization, resale, manufacturing, and circularity as AI and digital tools become more embedded across the fashion value chain. McKinsey’s State of Fashion 2026 identifies AI as an increasingly important part of the industry while projecting another year of relatively modest overall fashion-industry growth, making technology adoption and operational efficiency more consequential for brands.
Against that backdrop, a new group of fashion tech companies is scaling around specific industry needs, from AI-assisted design and conversational shopping to virtual try-on, creator commerce, resale infrastructure, and textile circularity. This list highlights companies and startups showing notable recent momentum, with a closer look at what they do, why their technology matters to the fashion industry, who leads them, and the funding or operating signals behind their recent growth.
Key Takeaways
- Whatnot reached a $20 billion valuation after a $545 million Series G in August 2026, alongside substantial transaction growth
- ShopMy reached a $1.5 billion valuation following a $70 million funding round in October 2025
- Phia followed its 2025 launch and seed financing with a $35 million Series A announced in January 2026
- Generative design, AI shopping, virtual try-on, resale infrastructure, and textile circularity represent several distinct areas of fashion-tech investment
- Funding should be evaluated alongside hiring, product launches, user growth, market expansion, and other operating signals when identifying fashion-tech companies entering a growth phase
1. Whatnot
Category: Live commerce and marketplace technology
CEO: Grant LaFontaine
Recent Funding: $545 million Series G, August 2026
Reported Valuation: $20 billion
Whatnot operates a live-shopping marketplace spanning fashion, sneakers, collectibles, electronics, jewelry, beauty, and other categories. Fashion is one component of a broader marketplace rather than the company’s sole focus.
Latest Growth Evidence
Whatnot closed a $545 million Series G in August 2026 at a $20 billion valuation. The company reportedly generated more GMV during the first half of 2026 than the $8 billion recorded across all of 2025, making transaction growth one of the clearest current expansion signals among companies on this list.
The company had already completed two funding rounds exceeding $200 million during 2025 before the latest financing. Grant LaFontaine continues to serve as CEO.
Why It Matters in Fashion Tech
Whatnot shows how live commerce has expanded beyond its early association with collectibles. Current marketplace categories include women's fashion, men's fashion, sneakers, bags, accessories, jewelry, and beauty.
Its relevance to fashion technology comes from the growing intersection between commerce, video, seller communities, and real-time purchasing rather than from fashion-specific design or manufacturing technology.
2. ShopMy
Category: Creator-commerce technology
CEO: Harry Rein
Recent Funding: $70 million, October 2025
Reported Valuation: $1.5 billion
ShopMy connects creators and brands through affiliate commerce, gifting, partnership management, product recommendations, and related creator-marketing workflows. Fashion, beauty, and lifestyle brands make up a substantial part of its commercial environment.
Latest Growth Evidence
ShopMy raised $70 million in October 2025 in a financing led by Avenir, bringing the company’s reported valuation to $1.5 billion. This followed an earlier $77.5 million Series B.
The company currently reports approximately 150,000 creators, 40,000 brand partners, and $750 million in volume driven since launch. These figures are company-reported and provide additional evidence of its expansion beyond funding activity alone.
Why It Matters in Fashion Tech
ShopMy represents the infrastructure side of creator-led fashion discovery. Rather than functioning as a fashion retailer itself, it provides technology connecting brands, creators, product recommendations, attribution, and commerce.
Its growth reflects the continued development of creator commerce as a measurable distribution channel for fashion and adjacent consumer categories.
3. Phia
Category: AI shopping and price comparison
Leadership: Co-founders Phoebe Gates and Sophia Kianni
Recent Funding: $35 million Series A, January 2026
Phia operates an AI-assisted shopping platform and browser extension that compares products, prices, promotions, and alternatives across online shopping sites. Its current product emphasizes fashion discovery and price comparison across both retail and resale environments.
Latest Growth Evidence
Phia announced a $35 million Series A in January 2026 after previously raising an $8 million seed round in 2025. Current reporting places total financing at approximately $43 million.
By mid-2026, reporting around the company cited more than 1 million users, with later coverage placing the figure at approximately 1.5 million.
Why It Matters in Fashion Tech
Phia sits within the emerging category of AI-assisted shopping agents. Instead of requiring consumers to compare individual retailer sites manually, its technology is built around product discovery and price comparison across a wider set of online sources.
Its rapid sequence from launch to seed funding and then Series A financing makes it one of the clearer early-stage growth stories in current consumer fashion technology.
4. Raspberry AI
Category: Generative AI for fashion design
CEO: Cheryl Liu
Recent Funding: $24 million Series A, January 2025
Reported Total Equity Funding: $28.5 million
Raspberry AI develops generative AI software for fashion designers and product-development teams. Its platform can turn design inputs into visual concepts, product renderings, prints, materials, and related creative assets.
Latest Growth Evidence
Raspberry AI raised a $24 million Series A led by Andreessen Horowitz in January 2025, bringing reported equity funding to $28.5 million.
The company reported a 15% increase in headcount over the six months preceding its 2026 CB Insights AI 100 announcement and has continued expanding its product capabilities.
Why It Matters in Fashion Tech
Raspberry AI represents one of the clearest applications of generative AI directly within the fashion creation process.
Instead of focusing primarily on consumer shopping, the platform operates further upstream, where designers and product teams develop concepts and visualize products before physical production.
That makes its growth relevant to fashion companies evaluating how generative AI can affect design and product-development workflows.
5. Daydream
Category: Conversational AI fashion shopping
CEO: Julie Bornstein
Recent Funding: $50 million seed round, June 2024
Daydream is an AI shopping platform built around conversational fashion discovery. Users can describe items in natural language, search from images, refine recommendations, and shop across participating brands and retailers.
Latest Growth Evidence
Daydream raised $50 million in seed financing in June 2024, co-led by Forerunner Ventures and Index Ventures with participation from GV and True Ventures. The company subsequently launched its consumer product publicly in 2025.
Its current platform states that shoppers can access more than 10,000 fashion stores or brands through its shopping environment. In August 2026, Daydream also announced technology intended to bring its AI-powered search and discovery experience directly onto fashion-brand and retailer websites.
Why It Matters in Fashion Tech
Daydream reflects a shift from keyword-based e-commerce search toward conversational product discovery.
Its expansion from a standalone shopping experience into technology that can also operate on retailer storefronts shows how fashion-oriented AI search may become part of existing e-commerce infrastructure rather than remaining limited to consumer-facing shopping apps.
6. Archive
Category: Brand-owned resale technology
CEO: Emily Gittins
Recent Funding: $30 million Series B, February 2025
Archive provides technology for brands to operate their own resale programs. Its software supports the infrastructure behind secondhand product collection, listings, resale storefronts, and related operational processes.
Latest Growth Evidence
Archive raised $30 million in Series B funding in February 2025, led by Energize Capital.
The company reported nearly 3X year-over-year GMV growth during 2025 and 2.9X year-over-year growth in secondhand items sold. Archive also reported that its team expanded 88% to 81 employees during the year, with a European office scheduled to open in January 2026.
Why It Matters in Fashion Tech
Archive represents a different part of fashion technology from AI design or virtual try-on. It provides infrastructure allowing brands to participate directly in resale instead of leaving all secondhand activity to independent marketplaces.
Its combination of funding, workforce expansion, and company-reported GMV growth makes it one of the stronger current growth signals within circular fashion technology.
7. SuperCircle
Category: Textile circularity and waste-management technology
CEO: Chloe Songer
Recent Funding: $24 million Series A, December 2025
SuperCircle provides technology and logistics for processing end-of-life textiles, including returned, damaged, excess, and post-consumer products. Its system combines collection and reverse logistics with data-driven sorting and routes materials toward reuse or recycling pathways.
Latest Growth Evidence
SuperCircle raised $24 million in Series A funding in December 2025. Foundry led the round, with participation from BBG Ventures, Renewal Fund, and Elemental Impact.
The company operates textile take-back and recycling infrastructure used in retail environments, including fashion and apparel programs. Chloe Songer serves as CEO.
Why It Matters in Fashion Tech
Fashion technology extends beyond digital shopping experiences. Brands also face operational questions around returns, excess inventory, textile waste, reuse, and recycling.
SuperCircle addresses that physical end of the fashion lifecycle with a technology layer for tracking and routing textile materials. Its 2025 Series A makes circularity infrastructure one of the more visible funded areas in the current fashion-tech market.
8. Doji
Category: AI virtual try-on
CEO: Dorian Dargan
Recent Funding: $14 million seed round, May 2025
Doji develops an AI fashion application that creates personalized digital avatars and allows users to visualize clothing on those avatars. Dorian Dargan co-founded the company with Jim Winkens and serves as CEO.
Latest Growth Evidence
Doji announced a $14 million seed round in May 2025 led by Thrive Capital, with Seven Seven Six participating. The financing followed the product’s emergence from private testing into wider consumer availability.
The company uses its own diffusion models for avatar creation and garment visualization, placing it within the newer generation of generative-AI virtual try-on companies.
Why It Matters in Fashion Tech
Virtual try-on has existed in various forms for years, but newer generative AI techniques are changing how realistic digital representations can be produced.
Doji is relevant because it approaches virtual try-on as a consumer fashion experience built around a personalized AI representation rather than only as a retailer-side fitting widget.
Its $14 million seed round provides a recent funding signal for continued investor activity in this category.
9. Alta
Category: AI personal styling and digital wardrobe
Founder and CEO: Jenny Wang
Recent Funding: $11 million seed round, June 2025
Alta is an AI styling and shopping application built around a user’s existing wardrobe, preferences, lifestyle, weather, calendar, and shopping options. It can digitize closet items and generate outfit recommendations using those inputs.
Latest Growth Evidence
Alta raised $11 million in seed funding in 2025, led by Menlo Ventures with participation from investors including Aglaé Ventures.
Following its public launch in 2025, the application gained visibility in consumer app rankings and fashion-technology coverage. Jenny Wang continues to lead Alta as founder and CEO.
Why It Matters in Fashion Tech
Alta sits at the intersection of wardrobe management, styling, virtual representation, and commerce.
Instead of treating every fashion interaction as a net-new product search, its model starts partly with clothing the consumer already owns. That approach expands fashion AI beyond discovery into ongoing wardrobe decision-making.
10. SPREEAI
Category: AI virtual try-on, sizing, and outfit visualization
CEO: John Imah
Recent Funding: 2025 financing round; amount not publicly disclosed in current company materials
Reported Valuation: $1.5 billion
SPREEAI develops AI technology for virtual apparel try-on, sizing, and outfit visualization. John Imah serves as co-founder and CEO.
Latest Growth Evidence
SPREEAI reached a reported $1.5 billion valuation following a 2025 investment round led by The Davidson Group. Public reporting does not consistently disclose the size of that specific financing, so an exact round amount should not be stated without qualification.
The company subsequently described itself as one of the technology companies that crossed the $1 billion valuation threshold during 2025. Its current careers page also shows hiring across AI research, machine learning, mobile engineering, infrastructure, partnerships, and other functions.
Why It Matters in Fashion Tech
SPREEAI represents the enterprise-facing side of AI-assisted fashion visualization.
Its technology combines product visualization with size prediction and outfit-related functions, making it relevant to retailers evaluating how AI can change online and in-store apparel experiences.
The company’s reported unicorn valuation makes it a notable growth-stage company within the virtual try-on segment.
What Fashion Tech Growth Signals Reveal
The companies on this list are growing across different parts of the fashion ecosystem rather than following one technology model. Recent activity spans several areas:
- Design and product development: Raspberry AI
- AI shopping and discovery: Phia and Daydream
- Virtual try-on and styling: Doji, Alta, and SPREEAI
- Creator and live commerce: ShopMy and Whatnot
- Brand-owned resale: Archive
- Textile circularity: SuperCircle
For GTM teams, category alone does not show whether a fashion tech company is entering a meaningful growth phase. Other signals can provide additional context, including:
- Recent funding rounds
- Hiring or headcount growth
- Leadership changes
- New product launches
- Technology adoption
- Geographic or commercial expansion
For teams selling into fashion technology, Landbase can turn these company characteristics and changing signals into targeted, reusable B2B audiences for further qualification and downstream GTM workflows.
How Landbase Helps GTM Teams Find Growing Fashion Tech Companies
Landbase helps GTM teams identify fashion tech companies using both company characteristics and recent business changes. Instead of relying on a static startup list, teams can define the type of company they want to reach and combine that profile with signals such as funding, hiring, leadership changes, technology adoption, or expansion.
Through natural language to filters, teams can describe an audience such as fashion technology companies that recently raised funding, fall within a selected employee range, operate in target markets, and use relevant technologies. Landbase translates that request into structured targeting criteria.
Teams can then stack buying signals around changes such as:
- Recent funding rounds
- Hiring or headcount growth
- Leadership changes
- Technology adoption
- Geographic expansion
- Other available company signals
This helps narrow a broad fashion tech market to accounts matching both the required company profile and selected growth conditions.
Landbase can also work with existing account lists. Through enrich & match records, uploaded CRM exports or spreadsheets can be matched against company and professional records before additional firmographic, professional, or contact information is added.
For ongoing tracking, Landbase can create workflows that keep surfacing new accounts as selected signals appear. A fashion tech audience can therefore continue identifying companies that fit the target profile and later trigger events such as funding or hiring growth.
Technical GTM teams can extend these workflows through Landbase CLI in the terminal, Claude Code, Codex, scripts, and repeatable automation.
For teams targeting fashion technology, this replaces a fixed startup directory with a reusable audience built around the company characteristics and growth signals that matter for qualification and downstream GTM workflows.
Frequently Asked Questions
What qualifies as a fashion tech company?
Fashion tech companies use software, AI, data, digital commerce infrastructure, advanced manufacturing, or other technologies to address parts of the fashion value chain. The category can include design software, virtual try-on, shopping technology, resale infrastructure, textile processing, creator commerce, and related systems. It is broader than consumer fashion brands that simply operate an e-commerce website. The companies on this list were selected because technology is central to the product or operating model.
How can fast-growing fashion tech companies be identified?
Fast-growing private companies can be identified by looking at several signals rather than funding alone. Recent financing, hiring growth, new product launches, geographic expansion, user or transaction growth, and leadership changes can all indicate increased activity. Combining these signals provides a more useful picture of momentum than relying on a single metric.
Which parts of fashion tech are seeing the most startup activity?
AI is appearing across design, search, styling, virtual try-on, merchandising, and commerce. Resale and circularity infrastructure are also attracting investment as companies develop technology for secondhand programs and textile end-of-life management. Live commerce and creator-commerce platforms represent another active layer connecting fashion discovery with transactions. The current market therefore spans both consumer applications and B2B infrastructure.
Why do recent funding rounds matter to GTM teams?
A recent funding round can indicate that a fashion tech company is entering a new stage of investment, hiring, or expansion, but funding alone does not establish purchase intent. GTM teams can combine funding with hiring, technology adoption, leadership changes, and company-fit criteria to narrow the accounts worth evaluating. Landbase can use these attributes and signals when building targeted company audiences.
How can Landbase support fashion tech prospecting?
Landbase can help GTM teams move from a broad fashion tech market to a more specific audience based on company characteristics and growth signals. Teams can define criteria such as sector, funding activity, employee range, geography, technology use, or hiring changes, then refine the resulting companies for further qualification. Existing lists can also be matched and enriched before records move into downstream GTM workflows. This makes Landbase useful for building reusable fashion tech audiences around defined targeting criteria rather than relying on a fixed startup directory.
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