Jinwen develops AI tools to connect the design and application of traditional patterns

To develop a Zhuang brocade themed bag, designers need to find suitable patterns, verify their cultural connotations and origins, before completing redrawing, color matching and layout adaptation. Pattern images, cultural descriptions and usage conditions are scattered in different materials, which often means repeated sorting and confirmation are required before entering product development.

The Jinwen platform built by Xinzu Culture and Technology (Wenzhou) Co., Ltd. is building a pattern database and AI creation tools around this process, trying to connect cultural resources, design creation and enterprise applications. According to the team, the project is currently seeking RMB 2.5 million in seed round or angel round financing.

The *2025 National Report on the Development of Culture and Related Industries* released by the National Bureau of Statistics shows that the operating revenue of creative design services reached 4.4007 trillion yuan in 2025, a year-on-year increase of 13.2%. This statistic covers the entire creative design service industry, and Jinwen currently focuses on the design and application of traditional patterns in this field.

Sorting available data starting from Guangxi Zhuang brocade

Jinwen takes Guangxi Zhuang brocade as its first cultural theme, sorts out materials around "form, meaning, origin, application, right", and gradually associates the graphic units, combination structure, cultural implication, data source, application scenarios and usage conditions of patterns. The team hopes that when designers retrieve resources, they can obtain the information required for subsequent modification and use at the same time.

In August 2026, six departments including the Ministry of Industry and Information Technology issued the *Opinions on Promoting the High-quality Development of Historically Classic Industries*, proposing to build high-quality datasets containing parameters such as patterns and crafts to support the transformation of creative design.

For example, when the same pattern is used on the outer surface, side panels and lining of a bag, the proportion, layout and repetition method will be different. The team sorts out the structural information together with the graphic files, so that the resources can be further edited and reused in different design tasks.

Copyright services are also included in this process. The platform is equipped with supporting services such as blockchain evidence storage and traceability, digital copyright registration and right confirmation assistance, to provide support for source recording, creation trace retention and authorization management. The commercial use scope of specific resources is determined according to the corresponding license, and the evidence storage and registration records are managed separately from the commercial license.

AI workbench connecting creation and product application

At present, Jinwen already has tools for pattern editing, color matching and PNG/SVG format export. The integrated AI creation workbench is under development, which plans to integrate requirement expression, cultural resource retrieval, creation adjustment, usage condition prompt and result export into the same task, reducing users' switching between multiple tools.

The R&D team gives priority to promoting bitmap to vector conversion and photographed pattern recognition and reconstruction, so that photos or scanned images can enter the editable process. Pattern splitting and regeneration, as well as image to 3D modeling are also under research, which are used for element extraction and combination, product design expression and application display respectively. The team will evaluate the effect according to structure retention, editability, manual correction working hours and processing cost. The team is also promoting 6 software copyright registrations and 2 patent applications.

On the enterprise application side, Jinwen plans to first provide services such as pattern design, color matching and application documents for bag brands, designers and manufacturing enterprises, and observe the plan adoption, modification times, delivery cost and payment collection through paid pilots. The bag business is still in the market verification planning stage, and scenarios such as footwear and apparel, packaging, home furnishing and cultural tourism will be expanded later according to the delivery results.

From paid material access to enterprise service verification

At the current stage, the platform mainly serves design students, professional designers and studios, and has obtained early revenue through paid materials and memberships. Its business model adopts the mechanism of "free basic creation, paid professional rights and commercial use", and gradually expands professional tools, AI processing quota and commercial authorization of authorized resources; membership rights and commercial authorization are billed separately. The enterprise side plans to charge fees based on specific design projects or service cycles, and the enterprise workbench and data call will be promoted according to actual demands.

According to the operation statistics provided by the team, as of October 15, 2026, the platform has accumulated more than 700 total users, more than 200 active users in the recent 30 days, more than 50 accumulated paid users, 108 payment orders, and accumulated net actual revenue of more than 800 yuan. The team said that the existing users and transactions all come from natural traffic, and no paid promotion has been carried out yet. The above payments mainly come from materials and memberships, and continuous payment for professional tools and enterprise repurchase still need further verification.

In terms of customer acquisition, the team plans to accumulate users through content tutorials, tool demonstrations, creator communities, and cooperation with colleges and studios; the development of enterprise customers starts from the design and manufacturing resources in Jiangsu, Zhejiang and the Yangtze River Delta that the team can reach, and forms proposals and sample cases around specific new product demands.

According to the resume provided by the team, project leader Cai Jiegao has 16 years of experience related to the manufacturing industry, and is responsible for strategy, product and industrial resource integration. Yang Xianxiang, head of the technical department, once led the R&D of fresh food SaaS and multi-store ERP, independently completed the core module of MES production management system, and has experience in AI image editing, image search and multi-modal knowledge base development.

Zhao Yuhang, head of the operation department, once served as operation director of Zhidian Cloud Digital Technology Co., Ltd., and has relevant operation experience in Lvmama Travel Network, Tuhu Auto Maintenance and Dongjing Technology. He is now responsible for Jinwen's enterprise customer development, user growth and commercialization promotion.

After the accumulation of real demands and delivery records, Jinwen plans to further explore the intelligent agent and C2B collaboration for traditional cultural industries, connecting design solutions through user demands, and then partners will undertake proofing and production. This part belongs to the follow-up plan.

This round of financing is planned to support the work in the next 18 months, with key investment in AI workbench integration, pattern data sorting, R&D and market verification. According to the team's plan, the core product process will be verified first in the 6 months after financing; the 12-month target is to reach 300 annual paid creators, 12 paid enterprise customers, and complete 24 pattern application projects in total; the 18-month focus is to test creator renewal, repeated enterprise procurement, delivery gross profit and customer acquisition efficiency. All the above are business targets after financing, and the team will adjust investment according to actual results.