Summary of Visual China Conference Call Company Overview - **Company**: Visual China - **Industry**: Visual content services, AI technology Key Points and Arguments Financial Performance - Visual China reported a stable revenue performance, with a year-on-year decline in net profit attributable to shareholders (non-GAAP) of 9.03%, although this was an improvement compared to the first half of the year [2][3] - The decline in profit was primarily due to macroeconomic conditions and adjustments within the advertising and marketing sector [3] Strategic Focus - The company adheres to a strategy of "AI intelligence + content data + application scenarios," which has led to the emergence of AI-driven creative customization as a new growth point [2][3] - Visual China has built a high-quality dataset of over 700 million compliant content items, including images, audio, video, and 3D data, enhancing its competitive edge in the industry [2][5] AI Technology Implementation - AI technologies have been integrated into the copyright trading platform, improving material matching and review efficiency, with image review efficiency increasing nearly 15 times [2][6][7] - The company has developed AI features such as search recommendations, content creation assistance, and content review, which streamline the creative process and enhance operational efficiency [6][7] Growth in AI-Driven Services - The AI-driven creative customization business has seen a year-on-year growth of 25%, with partnerships established with major brands like Huawei and Mercedes-Benz [2][8] - Visual China is actively exploring collaborations with leading AI platforms to provide visual content licensing services, similar to the partnership model between Getty Images and Perceptual [4][13] Strategic Investments - The company has made strategic investments in companies like Lingchuan Technology and Shenshu Technology to enhance its capabilities in AI visual chips and multimodal model training [9][10] - A significant investment of 100 million yuan was secured for Daxiang Visual to advance its AI strategic goals [9][10] Market Opportunities and Challenges - The company recognizes the opportunities presented by the AI era, particularly in the video processing chip sector, with a focus on the development of new chips for large model adaptation expected to be mass-produced by 2026 [11][12] - Challenges in AI content generation include ensuring compliance and accuracy of content sources, which the company addresses through partnerships and high-quality data provision [14][19] Future Business Plans - Visual China plans to expand its core business areas while exploring new business opportunities, including: 1. Increasing market share of high-quality copyright content among SMEs and C-end markets [22] 2. Transforming traditional image libraries into dynamic, multi-purpose data assets using generative AI technology [22] 3. Providing more licensed character models for large model training [22] 4. Ensuring all new business complies with copyright and ethical standards [22] Conclusion - Visual China aims to enhance its market competitiveness and deliver greater returns to investors through strategic initiatives and the integration of AI technologies into its business model [23]

Group 1: Company Overview and Strategy - The company focuses on leveraging AI technology to enhance its core strategy of "AI intelligence + content data + application scenarios" [5] - It aims to provide a comprehensive data training copyright compliance solution, covering data collection, annotation, certification, review, and authorization [5][9] - The company positions itself as a preferred partner for high-quality visual data training sets in China [5][9] Group 2: AI and Data Utilization - The company utilizes AI to extract value from its core assets, including images, audio, video, and 3D content, enhancing data quality and compliance [2][3] - It has developed a multi-dimensional metadata system for its data, which is crucial for generating trustworthy AI models [2][3] - The company emphasizes the need for high-quality, copyright-compliant training datasets as essential for credible large models [4][5] Group 3: Product and Service Offerings - The company offers a visual content copyright trading platform and a creative customization service platform, enhancing user experience through AI-driven tools [6][8] - AI Agent capabilities include intelligent search, intelligent matching, and one-click production, allowing for personalized workflows [7][8] - The company provides multi-layered compliance assurance services, including copyright insurance and creation behavior documentation [4][9] Group 4: Market Position and Future Directions - The company is actively investing in the 3D industry and has established partnerships with 3D content manufacturers and trading platforms [4] - It aims to collaborate deeply with large model companies to ensure data quality and compliance from the source [3][5] - The company is committed to building a trustworthy ecosystem for data, technology, rules, and culture in the AI era [3][5]