自深度服务于我国医疗产业智能化升级以来，公司通过技术赋能，破解医疗体系传统管理效率低、协同 性弱的痛点，提升医疗质量与安全管控效能。在与众多三甲医院达成深度合作的同时，公司亦推动辖区 医院实现大模型与临床业务深度融合，加速服务与管理智能化升级。未来，公司将紧跟国家战略，以技 术创新为引擎，深耕医疗健康智能化赛道，完善区域医疗智能化解决方案，持续拓展业务边界，创造更 大产业价值和社会价值。 以上合作既彰显了公司在医疗数智化领域的技术实力与服务能力，实现了医疗大模型应用场景从单一场 景延伸至全流程管理体系，从单点医院合作升级为区域化整体服务，同时，也标志着公司大模型服务已 从应用系统输出，全面进阶为更底层、更核心的模型能力输出，为医保行业智能化、精细化升级提供深 度技术支撑。 云知声(09678)公布，近日，公司凭借医疗领域专家级大模型"山海知医大模型"的领先技术优势，大数 据治理等全栈服务能力，以及对医保行业政策法规、业务特点的深刻理解，成功牵手江苏省医保局、石 家庄市卫健委和郑州市金水区卫健委，在医保垂直大模型、区域医疗质量管理与医院信息智能化建设等 领域达成深度合作，总合作金额超过人民币2000万元。 ...

Core Viewpoint - The company is transitioning from a manufacturer of intercom systems to a provider of integrated smart solutions for communities, homes, and hospitals, leveraging AI and IoT technologies to create a comprehensive smart ecosystem [1][2]. Group 1: Business Evolution - The company has evolved from focusing solely on intercom systems to offering a range of products including smart homes, smart hospitals, and health technology solutions, reflecting the broader trend in China's smart infrastructure development [2][3]. - The product structure now includes intercom systems, smart home devices, and smart hospital solutions, with a focus on health technology and integration into the Hongmeng ecosystem [2][4]. Group 2: Market Position and Achievements - The company ranks 22nd in the global security market according to A&S, with products exported to over 90 countries, particularly excelling in emerging markets like Southeast Asia and the Middle East [3][4]. - It has been recognized as a top supplier in the building supply chain for 13 consecutive years, maintaining a leading market share in intercom systems [2][3]. Group 3: AI Integration and Future Directions - AI is identified as the core engine driving the company's business, with plans to integrate AI into smart community, home, and hospital solutions to enhance user experience and operational efficiency [5][6]. - The company is exploring AI applications in elderly care and community hospitals, aiming to facilitate data sharing and proactive health monitoring [5][6]. Group 4: Challenges and Solutions - The company faces challenges in AI implementation, including technical adaptability, data privacy compliance, and user acceptance [7][8]. - To address these challenges, the company collaborates with AI firms, employs a data-sharing framework that protects privacy, and adopts a subscription-based service model to lower initial costs for clients [8].

Core Viewpoint - Northeast Securities maintains an "overweight" rating for Yidu Technology (02158), highlighting significant improvements in market penetration in the medical intelligence sector and record-high gross margins for its self-developed i-series solutions during the fiscal year 2025 [1] Group 1: Market Penetration and Client Base - As of March 31, 2025, the company's big data platform serves 110 top hospitals in China and 44 regulatory agencies, covering over 4000 hospitals [1] - The Copilot product matrix completed deployments in over 30 tier-one hospitals within three months, creating a complete closed loop of "data governance - intelligent training - scenario implementation," significantly enhancing market penetration in medical intelligence [1] - The life sciences segment serves 132 clients, with a revenue retention rate of 87.51% among the top 20 clients, 16 of which are multinational pharmaceutical companies [1] Group 2: Financial Performance and Competitive Edge - The gross margin for the self-developed i-series solutions reached 33.5%, marking a historical high and underscoring the company's core competitiveness in the field of pharmaceutical research and development intelligence [1] - The company has been the main operating platform for "Shenzhen Huimin Insurance" for three consecutive years, with 6.09 million insured individuals in 2024; it has also operated "Beijing Huimin Insurance" for four years, accumulating over 15 million insured instances [1] - The platform has over 24 million active users, all of whom have completed at least one transaction, demonstrating strong user reach and market acceptance for health management services, laying a solid foundation for future commercialization [1]