Digital Fashion Week NYC names 9 exhibitor showcase companies for Sept. 10 event
Digital Fashion Week NYC unveiled nine exhibitors for its Sept. 10 conference in New York City during New York Fashion Week. The lineup spans AI, styling, fintech, legal services and fashion design, underscoring how fashion tech is drawing builders and investors across the industry.
Why it matters: - The exhibitor floor is becoming a key signal of where fashion technology is headed, not just a place for demos. - The 2026 lineup brings together companies working on inventory, styling, content production, commerce and legal infrastructure. - Early-stage exhibitors get exposure to fashion executives, investors from pre-seed to growth stage, and editorial press.
What happened: - Digital Fashion Week NYC announced its 2026 exhibitor lineup on Sept. 2, 2026. - The conference is set for Sept. 10 at The Fashion Gallery, 511 West 25th Street, in New York City during New York Fashion Week. - Clare Tattersall, founder of Digital Fashion Week, said the exhibitor floor shows where the industry is building. - Tattersall said the nine-company lineup spans technology, capital, law and design in one room.
The details: - Nūl Global Technologies, a Singapore-based AI startup shortlisted for the Global Fashion Agenda Trailblazer Programme 2026, is using agentic AI and decision science to optimize inventory, reduce overproduction and cut waste. - Nūl was co-founded by Malini Kannan and Raghav M.S. - Nūl says pilot trials with apparel brands across Southeast Asia showed a 10% revenue uplift through end-of-season inventory rebalancing. - Mayer Brown is a confirmed sponsor and will have Partner Stephanie Hurst join the conference's Capital & Innovation programming. - Mayer Brown's fashion, retail and technology practice covers brand protection, IP, transactions, regulatory compliance and investment. - Aquerius positions its platform around time-aware intelligence, structured knowledge and temporal reasoning. - Aquerius says its tools let users build design agents, skills, workflows and context engineering pipelines with visual, no-code tools, plus APIs for advanced development. - MAIStyle is a B2B fashion technology startup and says it is the first AI styling engine for the fashion industry. - WealthMeUp is a fintech platform that replaces discounts with appreciating rewards to improve loyalty without cutting profit. - The Perfect Add is an AI styling and wardrobe intelligence platform that recommends the best addition to complete a look and learns a user's taste over time. - Nunox describes itself as an AI-driven cloud SaaS for the textile ecosystem with NX Showroom and NX MarketSpace for workflows, designer-supplier connections and demand-driven production. - Manipal Digital offers post-production services across digital and print, and its MODAIC platform combines AI speed with human editing for product content creation. - Loreine is a Spanish-Ukrainian phygital brand established in 2019 by designer Anna Shak, who is originally from Ukraine and lives in Spain. - PixelCanvas.AI says it provides customized immersive web experiences and 3D tools that work across devices and browsers.
Between the lines: - The exhibitor list suggests Digital Fashion Week is broadening beyond fashion brands into the infrastructure layer around them. - The mix of AI, legal, fintech and content tools points to fashion tech shifting from novelty toward operational utility. - Several exhibitors are early-stage, which suggests the event is also serving as a deal flow and discovery venue for investors.
What's next: - The exhibitor showcase will be open to all conference attendees throughout the day. - Dedicated Innovation Booth time is built into the program. - Conference registration and press credentials are available at lu.ma/dfw26. - Media inquiries go to press@digitalfashionweek.nyc. - Digital Fashion Week NYC 2026 will take place during New York Fashion Week at The Fashion Gallery in Manhattan.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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