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国投智能(300188) - 2025年12月1日投资者关系活动记录表
2025-12-01 12:34
Group 1: Company Overview and Performance - The company participated in a collective roadshow and Q3 2025 performance briefing on December 1, 2025, with 11 investors attending [2] - Chairman Teng Da introduced the company's overview and Q3 operational performance, highlighting its investment value [2] Group 2: Core Advantages and Future Layout - The company has three core advantages in new financial security and digital anti-fraud: 1. High technical reuse with over 20 years of experience in public security and financial risk control [3] 2. Extensive scenario validation through participation in the construction of five national centers [3] 3. Strong trust from state-owned enterprises, enhancing compliance and data security [3] - Future plans include continuing to serve regulatory bodies, enhancing services for financial institutions, and expanding anti-fraud coverage to achieve G+B+C full scenario coverage [3] Group 3: Impact of L4 Automation Technology - L4 automation technology represents a significant industry shift, enabling full-process automated evidence collection, drastically reducing time from hours to minutes [4] - The company anticipates benefiting from two market opportunities: 1. Replacement demand for 200,000 traditional evidence collection devices, estimated at a market space of 10 billion yuan (approx. $1.5 billion) [4] 2. Upgrading over 3,000 existing laboratories, with an average investment of 2 million yuan (approx. $300,000) per lab, creating a stable market of 6 billion yuan (approx. $900 million) [4] Group 4: Definition and Application of Trusted Intelligent Systems - The core definition of "safe and trustworthy embodied intelligence" includes dual aspects of safety and reliability in technology and application [5] - The company plans to focus on vertical fields with existing resources, targeting applications in industrial inspection, police patrol, and health care [5] - Establishing an innovation center for embodied intelligence to support data accumulation and technology transformation [5]