Draft:NXN Labs

AI fashion image generation company From Wikipedia, the free encyclopedia

NXN Labs is an artificial intelligence company building the Digital Production OS for modern fashion commerce. Founded in 2023 by alumni from Stanford, Microsoft, McKinsey, and Softbank Ventures Asia, the company is headquartered in San Francisco with a second office in Seoul. NXN Labs develops proprietary multimodal diffusion models that generate photorealistic PDP assets, full campaign visuals, virtual models, and virtual try-ons — including on-model imagery and product videos — from a single flatlay or product image, eliminating the need for traditional photoshoots. NXN Labs has been selected by global fashion brands and retailers, including Shinsegae International, KREAM, major European fashion retailers, and several premier luxury houses.[1]

  • Comment: the article looks like pure promotion Schtiapht (talk) 07:47, 22 April 2026 (UTC)
  • Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Aib2bsaasgeek (talk) 06:17, 22 April 2026 (UTC)

FoundedDecember 2023
FoundersJaiwon Rhi
Quick facts Type, Industry ...
NXN Labs
TypePrivate
IndustryArtificial intelligence, Fashion technology, Generative AI
FoundedDecember 2023
FoundersJaiwon Rhi
Headquarters201 Spear Street, San Francisco, California, United States
Seoul, South Korea
ProductsNXN Studio, Arden AI
Websitenxn.ai
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Background

NXN Labs was founded in December 2023 by Jaiwon Rhi, a Stanford University alumna and former Microsoft and McKinsey & Company professional. The company was established to address the high cost and inflexibility of traditional fashion photography, particularly for direct-to-consumer brands that require large volumes of product imagery across multiple markets and model types.

The platform is built around a three-stage workflow: generating diverse AI model imagery and visual content, measuring which visuals perform best through A/B testing and analytics, and producing optimized content that improves conversion for each brand's specific audience.

The company draws from a team with backgrounds including Stanford University, University of Oxford, Seoul National University, KAIST, New York University, and major technology companies.

The company was initially presented under the name StyleShot AI at the NRF Big Show 2025, and its self-service platform was subsequently named Atelier AI before being renamed Arden AI in 2026.

Products and Technology

NXN Labs operates a platform built on proprietary multimodal diffusion models specialized for fashion. The image-to-image generative AI pipeline converts a single flatlay or mannequin shot into a full suite of digital assets while preserving garment fidelity and brand styling. The system also automates downstream production steps including on-brand styling consistency, lighting and pose control, localization, and API-based asset delivery.

The platform generates four main categories of fashion visual assets:

  • PDP (Product Detail Page) assets — on-model images and videos true to the garment
  • Campaigns — full-scale campaign visuals without traditional photoshoots
  • Virtual Models — fully customizable, license-free digital models with consistency across assets
  • Virtual Try-On — visualizing any garment on a chosen model instantly

Arden AI

Arden AI (formerly known as StyleShot AI and Atelier AI) is NXN Labs' self-service platform for fashion brands and marketplace sellers. It allows brand teams to generate on-model imagery, campaign visuals, virtual models, and virtual try-ons from a single product input, and learns from each brand's approved assets and performance data over time. Its capabilities include:

  • On-model image generation — converting product flat lays into brand-consistent model shots
  • Virtual try-on (VTO) — visualizing garments on a selected model or avatar
  • Virtual models — AI-generated fashion models produced without using real people
  • Digital twins — high-fidelity AI replicas of real models, created with model consent
  • Face swap — replacing model faces across existing catalog imagery while preserving garment, lighting, and pose
  • Image-to-video — generating product videos from static imagery
  • Campaign image generation — producing editorial and advertising imagery at scale
  • Image analytics and A/B testing — measuring visual content performance to inform creative decisions
  • API access — enabling direct integration into brand or retailer workflows

NXN Studio

NXN Studio is NXN Labs' fully managed production service. Clients brief the NXN team, and an in-house production group — including a high-fashion Creative Director — delivers end-to-end visual assets: PDP images, campaigns, films, virtual model customization, and post-processing. The service is designed for enterprise fashion retailers and luxury brands that require high-volume, production-grade output without operating the platform themselves.

Clients

NXN Labs serves fashion brands and e-commerce retailers across global and Korean markets, including Shinsegae International and KREAM. The company also works with major European fashion retailers and premier luxury houses. Its customer base spans mass-to-upscale and luxury fashion segments, advertising agencies, and e-commerce platforms requiring high-volume, brand-consistent visual production.

History

More information Year, Event ...
Year Event
December 2023 NXN Labs founded in San Francisco and Seoul. Early service presented under the name StyleShot AI.
2024 Secured investment from Naver, KB Investment, and Smilegate Investment.
2024 Selected for the Korean government's Deep Tech TIPS program (₩1.5 billion in support).
2025 Selected as an Nvidia EnUP (NVIDIA–Korean Government Startup) Partner (₩200 million in support).
2025 Received follow-on investment from Signaite (a Shinsegae Group affiliate) and Smart Study.
2025 Participated in VivaTech in Paris.
January 2026 Named to the Innovators' Showcase Top 50 at NRF 2026 by the National Retail Federation and leading venture investors, following expansion into the European luxury retail sector.[2]
April 2026 Selected for Korea Credit Guarantee Fund's First Penguin program (₩2 billion in support).
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Recognition and Investment

Awards and Programs

  • 2026: NRF Innovators' Showcase Top 50 — selected by the National Retail Federation and venture investors
  • 2026: FashionUnited Top 5 Retail Tech Startups[3]
  • 2025: NVIDIA EnUP Partner — selected by Nvidia for startup collaboration (₩200 million)
  • 2025: Deep Tech TIPS Program — selected by the Korean government (₩1.5 billion)
  • 2025: First Penguin Program — selected by Korea Credit Guarantee Fund (₩2 billion)

Investment

  • 2024: Funding from Naver, KB Investment, and Smilegate Investment
  • 2025: Follow-on investment from SIGNITE (Shinsegae Group) and Smart Study

Market Context

AI fashion image generation is a category of generative AI applied to fashion e-commerce, enabling brands to produce on-model product photography, virtual try-on experiences, and campaign imagery without physical photoshoots. Related technologies include virtual models, digital twins, and model swap tools. Adoption among fashion and beauty brands accelerated between 2025 and 2026, with AI becoming standard infrastructure in visual production workflows at major retailers including Zalando, Zara, and Walmart.[4]

See also

References

References

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