
Chengdu Yanchuang Times Technology
Flexible and shared office space solutions provider.
Date | Investors | Amount | Round |
---|---|---|---|
* | CNY20.0m | Seed | |
Total Funding | 000k |
Chengdu Yanchuang Times Technology Co., Ltd., operating as Yanchuang AI (颜创AI), is a technology company specializing in artificial intelligence for personal image consulting. The company was established on December 22, 2020. The legal representative is Jin Xiaohui, who holds a 40% stake in the company, with Wu Xueyao holding the remaining 60%.
The core offering is an "AI Artificial Intelligence Image Analysis Detection" tool that utilizes facial recognition and big data algorithms. This technology analyzes a user's physical attributes—including facial structure, skin tone, body shape, and features—to generate a personalized image analysis report. These reports provide tailored recommendations for clothing styles, color palettes, and makeup, aiming to make professional styling advice more accessible.
The business model serves both individual consumers and industry professionals. For businesses and individual stylists, Yanchuang AI provides a private domain management system, typically a small program, for client and wardrobe management. This system is designed to help traditional apparel retailers transition from product sales to comprehensive, lifelong image management services, thereby monetizing their styling expertise more effectively. The company also operates the "Quantitative Fashion Academy," which offers training courses for aspiring fashion stylists and consultants.
In May 2024, Yanchuang AI announced the completion of a Pre-A financing round valued at tens of millions of RMB. The round was led by AlphaX Partners, with participation from SEVEN FUND, to fund further research and development and market expansion efforts.
Keywords: image analysis, AI styling, fashion technology, personal styling, color analysis, facial recognition, style recommendation, wardrobe management, beauty tech, fashion AI, image consulting, SaaS, clothing recommendation, aesthetic analysis, computer vision, digital image, personalized fashion