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汤姆猫(300459) - 2024年5月23日投资者关系活动记录表
TomTom(SZ:300459)2024-05-23 15:10

Group 1: Game Product Launches - The company has several new game products ready for launch, including "My Hank Dog: Island," "Jin Jie Cat's Enlightenment Paradise," "Tom Cat Adventure Park," "Sonic Boom," "Sonic Run," and "Bouncing Adventure H5" [3] - "My Hank Dog: Island," a new virtual pet game, began its first overseas testing in November 2023 [3] - The company received game product approvals for "Sonic Boom" and "Sonic Run" in December 2023 and February 2024, respectively, with development teams actively working on their launch [3] Group 2: AI Business Progress - The company is collaborating with West Lake Xincheng on the Tom Cat AI storytelling product, which has completed initial functionality testing [4] - The overseas team is enhancing the first AI mobile game "Talking Ben AI" and collecting data for optimization [4] - The company is developing a children's companion robot, with industrial design and embedded systems underway [5] - A computing center in Gansu will support the AI business with storage and computational services [4] Group 3: Team and R&D Configuration - The AI lab director has extensive experience, including over 30 IoT patents and previous roles at Alibaba [5] - The team is focused on the development and implementation of the Tom Cat AI children's companion robot [5] Group 4: West Lake Xincheng's Large Model - West Lake Xincheng has developed a multi-modal emotional large model that can perceive user emotions and customize interactions [6] - The model has been applied in various sectors, including a government service platform in Hangzhou [6] - The company has launched several consumer-facing AI applications, accumulating over 2 million users [6] Group 5: Data Sources for Tom Cat's Vertical Model - The company is building a children's vertical model using data from its extensive user base and various content partnerships [7] - Initial data sources include scripts from the "Talking Tom Cat" IP and structured data procurement [7] - User feedback during product testing will support model training and product updates [7]