Core Viewpoint - The company, Desheng Technology, is actively involved in the digital RMB and AI healthcare sectors, showcasing its technological capabilities and strategic partnerships to enhance its service offerings and market presence [1][2]. Group 1: Digital RMB Initiatives - The company is participating in the Beijing Minsheng Card project, which involves the first digital RMB hardware wallet [1]. - Desheng Technology has signed cooperation agreements with Postal Savings Bank and Agricultural Credit Interconnection to explore digital RMB applications [1]. - The company aims to implement digital RMB in social security cards and government subsidy distribution, indicating its readiness for practical applications in this area [1]. Group 2: AI Healthcare Developments - The company is integrating its "no-fee payment" platform into hospital HIS systems to streamline payment processes [1]. - Desheng Technology's AI medical products are being deployed in various provinces, including Guangdong, Anhui, and Guizhou, focusing on intelligent diagnosis and management of chronic diseases [1]. - The company has received recognition for its "no-fee payment" platform, which is now implemented in all top-tier hospitals in Guangzhou [1]. Group 3: Financial and Operational Updates - On December 26, the company reported a stock price of 9.41 yuan, with a trading volume of 41,700 shares and a turnover of 39.41 million yuan [1]. - The company plans to conclude four fundraising projects and allocate 609,600 yuan of surplus funds to enhance its working capital [2][3]. - The net outflow of main funds was 3.306 million yuan, while retail investors saw a net inflow of 4.7778 million yuan on the same day [2][3].

证券日报网讯 12月26日，德生科技在互动平台回答投资者提问时表示，公司将就医无感支付平台嵌入 医院HIS系统，实现免排队缴费；同时基于自研算法构建医院数据治理查询分析，大幅提升医院各科室 对账效率，相关服务具备可复制性。具体经营情况届时请留意公司披露的定期报告。 （文章来源：证券日报） ...

证券之星消息，德生科技(002908)12月22日在投资者关系平台上答复投资者关心的问题。 德生科技回复：您好，公司联合中国银联、广州医保共同开发的"就医无感支付平台"，已深入落地广州 全部三甲医院，近日荣获2025全国智慧医保大赛全国总决赛一等奖；公司在AI医疗应用方面的布局， 会以建设全医院数字化底座为基础，通过AI算法提升医疗机构服务效率，并落地新的场景应用（如： 商保理赔、慢病管理等），链接更多B端资源打造AI医疗生态。感谢您的关注！ 以上内容为证券之星据公开信息整理，由AI算法生成（网信算备310104345710301240019号），不构成 投资建议。 投资者提问：公司核心优势是各种场景应用，如就医无感支付在广州做的挺好的，请问在ai医疗应用到 公司还有什么布局及进展？ ...

Core Insights - The company reported a revenue of 358 million yuan and a net profit attributable to shareholders of 4.4153 million yuan for the first three quarters of 2025, with a gross margin increase from 40.51% to 45.91% year-on-year, reflecting a 5.4 percentage point improvement [1][2] Financial Performance - Revenue for the first three quarters of 2025 reached 358 million yuan [1] - Net profit attributable to shareholders was 4.4153 million yuan [1] - Net profit excluding non-recurring gains and losses was 2.4264 million yuan [1] - Gross margin improved from 40.51% to 45.91%, a year-on-year increase of 5.4 percentage points [1] Business Strategy and Developments - The company has built a knowledge graph, document knowledge base, and model collaboration mechanism, completing the overall technical architecture for its intelligent application service platform [1] - The focus areas for future growth include employment and social security services, while medical and government services are identified as key operational breakthroughs [1] - In AI applications, the company has established a core AI technology foundation and completed the integration of general large models and self-developed model training [2] - The company is collaborating with partners to develop a "seamless medical payment platform" to optimize traditional IT architecture using core algorithm capabilities [2] - The company aims to solidify its position as a "social security card service provider" and maintain market leadership in the third-generation social security card [2] - The strategic layout emphasizes a service loop of "data + model + scenario," leveraging AI technology to empower core livelihood scenarios such as employment, medical care, and government services [2]

Core Insights - The company reported a revenue of 358 million yuan and a net profit of 6.6442 million yuan for the first three quarters of 2025, with a gross margin improvement from 40.51% to 45.91% year-on-year, an increase of 5.40 percentage points [1] - The improvement in gross margin is attributed to the reduction of less profitable business segments and the optimization of the "social security operation and big data services" profit model [1] - The company is focusing on enhancing its operational system around its core positioning as a "social security card service provider" and is expanding its market share in the third-generation social security card sector [1] Business Strategy - The company is accelerating the development of its AI core capabilities, implementing a strategic loop of "data + model + scenario" to drive intelligent upgrades in business scenarios, particularly in employment, medical services, and government affairs [1] - The company has strengthened its AI foundation by developing a self-researched government model that has been filed with national cybersecurity authorities, and is building a knowledge graph and knowledge base to optimize model performance [1][2] - The company is adopting a "platform + operation" service model to collaborate with B-end partners in expanding livelihood service scenarios, particularly in the healthcare sector [2] Future Outlook - The company aims to continue leveraging AI technology to solidify its social security and livelihood service foundation, accelerating the construction of a human-centered digital livelihood operation ecosystem to support future business growth [2]

Group 1: AI Technology and Applications - The company has established an AI core technology foundation, completing the integration of general large models and training self-developed models, with plans to launch the "Desheng Zhengduoxing" product [2][3] - Key application areas include employment, medical services, social security, and government services, with employment and social security showing strong financial performance [3][4] - The company has developed a "no-sense payment platform" for medical services in collaboration with China UnionPay and Guangzhou Medical Insurance, aiming to enhance operational efficiency by integrating fragmented medical data [4][5] Group 2: Business Model and Ecosystem - The company adopts a "platform + operation" service model, focusing on core livelihood scenarios and collaborating with B-end partners to build an operational service ecosystem [3][6] - A deep commitment to the "data + model + scenario" service loop is emphasized, leveraging AI support to create knowledge graphs and databases for various livelihood services [3][6] - The company aims to construct a livelihood operation service ecosystem centered around people, breaking down data silos and continuously optimizing services [6] Group 3: Future Development and Sustainability - Employment services are a national policy focus, with the company targeting key demographics such as college graduates and migrant workers, utilizing AI tools to enhance job matching efficiency [5][6] - The company positions itself as a "social security card service provider," leveraging the unique value of social security cards to build a comprehensive service system from government to consumer [5][6] - Future market scale will depend on the population size and service depth in covered cities, indicating a strategic approach to sustainable business growth [5][6]

Core Insights - The company is actively engaging with investors and showcasing its advancements in AI applications, employment services, and medical services [1] Group 1: AI Application and Revenue - The company has developed a large model for precise job matching, with successful implementations in cities like Beijing, Hubei, Henan, and Guangdong. By the first half of 2025, revenue from employment and government service scenarios is expected to account for nearly 80% of the "Human Resources Operation and Big Data Services" revenue [1] Group 2: Digital Employment Services and Revenue Model - Compared to third-party HR companies, the company has a clear advantage in digital employment services. It participates deeply in national and provincial public employment service projects and receives special funding. The revenue model includes government funding and service fees from B-end clients [2] Group 3: Medical Service Operations - The company has partnered with China UnionPay and Guangzhou Medical Insurance to develop a "seamless payment platform" for medical services, already integrated with over 100 top-tier hospitals in Guangzhou and serving over 3 million signed users [3] Group 4: Future Strategic Planning - The company aims to optimize social security services and build an operational service system focused on employment, medical, and government services, leveraging AI and operational capabilities to create a human-centered service ecosystem [4] Group 5: Third Generation Social Security Card - The issuance of the third generation social security card is progressing steadily, with the company participating in nearly 170 cities, holding a leading market share by providing comprehensive services from card issuance to operation [5] Group 6: R&D Investment and Team - The company has invested nearly 10% of its revenue in R&D over the past three years, focusing on smart terminals and large model platforms. By 2024, the R&D team is expected to exceed 400 members, including many high-level AI talent [6] Group 7: Accounts Receivable and Cost Efficiency - The company has maintained positive operating cash flow exceeding 100 million since 2022, implementing strict accounts receivable policies. Cost reduction and efficiency improvements are achieved through expense control and AI-driven optimization of delivery processes [7]

Group 1: AI Applications and Services - The company has developed a complete operational service system for employment using AI tools, achieving precise matching of job seekers and positions, with successful cases in Beijing, Hubei, Henan, and Guangdong [2][3] - In the government service sector, the company enhances service efficiency through AI applications, currently providing precise services in over 100 cities, including social security consultation and policy interpretation [3] - Revenue from employment and government services accounted for nearly 80% of the "Human Resources Operation and Big Data Services" segment in the first half of 2025 [3] Group 2: Digital Employment Services - The company offers advantages over third-party HR firms by deeply participating in national and provincial public employment service projects, supported by government funding [3] - The service model includes a combination of online platforms and offline service stations, targeting key demographics such as college graduates and veterans [3] - The revenue model includes government funding and service fees from B-end clients [3] Group 3: Medical Payment Solutions - The company has integrated its "seamless medical payment platform" with over 100 top-tier hospitals in Guangzhou, with a user base exceeding 3 million [4] - Future plans include leveraging user payment data to provide additional healthcare services [4] Group 4: Social Security Card Services - As of now, over 500 million third-generation social security cards have been issued, with nearly 900 million cards still to be issued [5] - The company operates in approximately 170 cities for the issuance of these cards, maintaining a leading market share [5] Group 5: Research and Development - The company invests nearly 10% of its revenue in R&D, focusing on smart terminals, large model platforms, and data middle platforms [6] - The R&D team is expected to exceed 400 members in 2024, with a strong emphasis on AI talent acquisition [6] Group 6: Financial Management - The company has maintained positive cash flow from operating activities since 2022, with net cash flow exceeding 100 million [6] - Cost reduction measures include strict expense control and optimization of delivery processes through enhanced AI capabilities [6]

Group 1 - The implementation of the new social security regulations starting in September is expected to provide significant development opportunities for government service enterprises, as it elevates policy execution to a legal level [1] - The company has established a grassroots service network covering nearly 170 cities and is leveraging AI technology to optimize core service scenarios such as employment, medical care, and government affairs [1] - The company has developed a large model named "Zhiwei Jieyu" specifically for the human resources vertical, accumulating service data from over 100 cities, which will enhance the training and inference capabilities of the model [1] Group 2 - In the employment scenario, the company focuses on key demographics such as flexible workers, college graduates, and veterans, using AI tools to improve job matching efficiency and providing comprehensive services including training support and subsidy applications [2] - The company has partnered with China UnionPay and Guangzhou Medical Insurance to develop a "seamless medical payment platform," facilitating convenient payment and contract services through its "Bianmin Yifutong" mini-program [2] - The company is enhancing its data asset operations by integrating various data resources and collaborating with data merchants and local governments to break through traditional human resources business limitations [2]

Group 1: Business Impact of New Regulations - The implementation of new social security regulations will elevate policy execution to a legal level, providing significant development opportunities for government service enterprises. The company has established a grassroots service network covering nearly 170 cities, enhancing the efficiency of social security service solutions [2][3]. Group 2: Technological Integration and Innovation - The company is leveraging AI technology to optimize core service scenarios such as employment and medical services, having developed a large model "Zhiwei Jieyu" with service data from over 100 cities. This technological advancement is expected to positively impact business progression [2][3]. Group 3: Data Operations and Market Positioning - The company has recently won the bid for the "Guangzhou Data Exchange (Tianhe) Service Zone Operation" project, aiming to enhance data operation services by integrating various data resources and promoting the assetization of data [3][4]. Group 4: Employment and Medical Service Strategies - In the employment sector, the company focuses on flexible workers, college graduates, and veterans, utilizing AI tools to improve job matching efficiency and providing comprehensive services such as training and subsidy applications. In the medical sector, partnerships with China UnionPay and Guangzhou Medical Insurance have led to the development of a seamless payment platform for medical services [5][6]. Group 5: Market Challenges and Future Directions - The company faces challenges in business expansion due to cyclical market demand adjustments and increased complexity in G-end project initiation. This necessitates a transformation in business models and organizational structure, which has temporarily raised management costs and time investments [5][6]. The company prefers partnerships with entities possessing core resources and operational capabilities for potential mergers and acquisitions [6][7].