The AI Intelligence Community has received 20 million yuan in angel round financing to plan the full ecological integration of the AI application layer.

36 Kr learned that as the world's first AI ecosystem integration platform, the AI application platform AI Intelligence Community recently completed a 20 million yuan angel round of financing. This round of financing was jointly invested by multiple VC funds, with 15% of the equity released. Based on this calculation, the post - investment valuation is approximately 133 million yuan. The investors said that they will help AI Intelligence Community build a more complete AI ecosystem integration platform through resource integration. The funds raised in this round will be mainly invested in three core directions: First, improve the self - developed IHUI technical architecture system to strengthen the platform's technical foundation; Second, build a GPU computing power resource pool to provide computing power support for AI application development and operation; Third, integrate a variety of leading technologies such as Agentic AI, MCP (Model Context Protocol), and RPA (Robotic Process Automation) to further enhance the platform's service capabilities. Ultimately, with the aim of "benefiting everyone", it will provide convenient cost - reducing and efficiency - increasing services for ordinary people, and at the same time promote the implementation of customized scenario solutions for the B - end (enterprise) and G - end (government).

AI Intelligence Community was established in 2025. Since its inception, it has clearly positioned itself as an "AI ecosystem upstream and downstream integration and production platform". At the C - end (individual) service level, the platform has built a complete closed - loop for agent development, use, and monetization distribution: users do not need a deep technical foundation. With the low - code visual operation realized by the IHUI architecture, they can complete AI application development by dragging and dropping modules. The training data is stored in distributed nodes to ensure data security and call efficiency, and the current model accuracy has reached 91%. Currently, the platform is in the public beta stage. Relying only on natural traffic, it has accumulated more than 2,000 users. It has also assisted partners in opening more than 40 AI - related courses, covering topics such as agent development entry and commercial monetization skills, to help users quickly master AI application skills.

In terms of team configuration, AI Intelligence Community has gathered senior industry forces: Chairman Li Chunchuan is a serial entrepreneur and a senior AI practitioner with rich entrepreneurial experience and industry insight. The core members also include Chang Kuan, a senior manager from a leading domestic technology company, Teng Xiang, a technical architect, and Sun Zhen, a senior traffic operation expert. The four complement each other in the fields of strategic planning, enterprise management, technology R & D, and user operation, providing all - round support for the platform's development.

From an industry background perspective, developers in the current artificial intelligence application layer generally face three major pain points: the technical threshold is too high, making it difficult for small and medium - sized developers to enter; the toolchain is fragmented, and developers need to switch tools frequently during the development process, resulting in low efficiency; the commercialization path is unclear, and it is difficult to convert development results into actual benefits. Existing platforms such as "Small and Micro Agents" in the market can only support the release of basic applications and have not formed a complete R & D ecosystem from development to monetization, so they cannot solve the core dilemmas of developers. Third - party data shows that the global low - code AI tool market is in a period of rapid growth. It is estimated that the market size will exceed 24 billion US dollars in 2027, among which the growth rate of visual development tools will reach a compound annual growth rate of 34%, which provides a broad market space for the development of AI Intelligence Community.

To solve industry pain points and seize market opportunities, AI Intelligence Community also focuses on building a developer ecosystem. Its "Skill Sharing Market" has attracted thousands of professional developers and completed tens of thousands of agent transactions, covering various transaction types such as customized agent development, technical consultation, and operation and maintenance services, realizing direct connection between developers and users. At the same time, the platform is collaborating with multiple leading domestic and international AI companies and universities to build a complete system connecting developers and users, solving the "last - mile" problem of AI application implementation.

In terms of future planning, although the platform has completed the core business closed - loop, continuous investment is still needed to cultivate users' payment habits and expand the developer ecosystem. The team clearly stated that it will complete the scenario verification of the first batch of enterprise - level customers in all regions of the country within the next six months, covering areas such as manufacturing process optimization and service industry intelligent customer service. At the same time, it will start to expand overseas markets, giving priority to regions with rapidly growing AI demand such as Southeast Asia and the Middle East. In addition, the platform plans to launch a Pre - A round of financing in the first quarter of 2026 to inject more funds into its subsequent development.

Chairman Li Chunchuan emphasized: "We always believe that AI technology should not be the patent of technology elites. Through modular development and resource integration, every ordinary person can become a participant in the AI era." Multiple investment capitals also commented: "In the current situation where AI applications are becoming increasingly similar, platforms with real ecosystem building capabilities have more long - term value." With its technological integration advantages, clear market positioning, and comprehensive ecosystem planning, AI Intelligence Community is expected to make continuous breakthroughs in the low - code AI tool track and become an important force in promoting the popularization of AI technology.