Omnious (OMNIOUS.AI)
Category: Computer Vision
South Korean fashion AI startup providing deep learning-based image recognition, automated product tagging, visual search, and personalization solutions for e-commerce and fashion retailers. Omnious (OMNIOUS.AI) was founded in 2015. The company is led by Jaeyoung Jun (전재영). Based in Seoul, South Korea. Team size: 11-50. Total funding raised: $12.5M. Latest round: Series B. Key investors include Korea Investment Partners, Mirae Asset Venture Investment, NH Investment & Securities, Quantum Ventures Korea, Big Basin Capital, Mashup Ventures, Enlight Ventures.
- Founded
- 2015
- Headquarters
- Seoul, South Korea
- Team size
- 11-50
- Total funding
- $12.5M
Value proposition
AI-powered visual solutions that automate fashion product tagging, enable visual search, and deliver hyper-personalized recommendations to help e-commerce and fashion businesses improve search efficiency, reduce operational costs, and drive sales.
Products and solutions
OMNIOUS Tagger (AI-powered automated product attribute tagging), OMNIOUS Lens (visual search and similar product recommendation), OMNICOMMERCE suite (personalization AI, styling recommendation, trend analysis), Vella (generative AI virtual try-on service), OMNIOUS STUDIO (consumer trend analysis software)
Unique value
Deep learning-based fashion image recognition with 1,000+ attribute classification, automated tagging that reduces operational costs by up to 75%, and visual search that enables image-based product discovery.
Target customer
E-commerce platforms, fashion brands, home shopping channels, and retailers (B2B SaaS)
Industries served
Fashion, E-commerce, Retail, Home Shopping
Technology advantage
Proprietary deep learning models trained on large-scale fashion image datasets (34M+ tagged products, 1.2B+ recognized attributes). KAIST Ph.D. founder team in deep learning. ISO 27001/27701 certified. Expanding into generative AI with Vella virtual try-on (IDM-VTON research).
How they differentiate
Deep fashion domain expertise with proprietary AI trained on massive fashion-specific datasets; comprehensive suite covering tagging, visual search, personalization, and trend analysis; strong Korean market leadership with 700+ customers including major platforms like Zigzag, Ably, Brandi, GS Shop, Lotte ON.
Main competitors
Vue.ai (Mad Street Den), Syte, StyleAI (스타일에이아이), Aibba (에이아이바)
Key partnerships
Samsung C-Lab Outside program, Naver Zepeto (AI technology collaboration), Oracle OCI (cloud infrastructure for Vella), AWS (AWS re:Invent 2024), Professor Jinwoo Shin (KAIST) as technology advisor
Notable customers
Zigzag (지그재그), Ably (에이블리), Brandi (브랜디), GS Shop, Lotte ON, Hyundai Home Shopping, Hyundai Department Store, LF, Eland, F&F, W Concept
Major milestones
2015: Founded by KAIST Ph.D. graduates, 2016: First seed funding, 2017: ₩1B investment from Korea Investment Partners, 2019: $2.5M seed round, 2021: ₩10B Series B, US market launch, Samsung C-Lab Outside selection, 2024: Launched Vella AI virtual try-on at AWS re:Invent and SDC2024, 2025: ISO 27001/27701 certifications, COMEUP Stars 2025 selection
Growth metrics
700+ customers; 34M+ products tagged; 1.2B+ attributes recognized; OMNIOUS Lens service surpassed 100M product recommendations in first year; annual growth of 2.5x+ (per Quantum Ventures Korea)
Market positioning
Leading fashion AI solution provider in South Korea (domestic #1), expanding into US and global markets. Samsung C-Lab Outside accelerated company.
Geographic focus
South Korea (home market), US (expanding since 2021), global expansion
Patents and IP
11 patents (per THE VC); US patent registered for fashion AI technology; TCB TI-2 technology rating from NICE D&B
About Jaeyoung Jun (전재영)
KAIST Ph.D. in deep learning; Brain Reverse Engineering & Imaging Lab Lead at KAIST. Conceived the company while pursuing his Ph.D., seeing potential for deep learning to quantify fashion data from images.
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Official website: https://omnious.ai/