Core Points - Desheng Technology announced the resignation of non-independent director Zhang Ying due to internal work adjustments [2] - Zhang Ying will continue to hold her corresponding position after resigning from the board [2] - The company held its second employee representative assembly on September 8, 2025, where Zhang Ying was unanimously elected as an employee representative director for the fourth board [2]

Group 1 - The company, Desheng Technology, announced the convening of its first extraordinary general meeting of shareholders for 2025 on September 8, 2025 [2] - The meeting will review and approve multiple proposals, including the proposal for amendments [2]

广东德生科技股份有限公司 关于非独立董事辞职暨选举职工代表董事的公告 证券代码：002908 证券简称：德生科技 公告编号：2025-031 公司于 2025 年 9 月 8 日召开了 2025 年第二次职工代表大会，经公司职工代 表大会民主选举，一致同意选举张颖女士为公司第四届董事会职工代表董事，其 简历见附件，任期自本次职工代表大会通过之日起至公司第四届董事会任期届满 之日止。 张颖女士符合《公司法》《深圳证券交易所上市公司自律监管指引第 1 号— —主板上市公司规范运作》等法律、法规、规范性文件及《公司章程》规定的任 职条件，公司第四届董事会中兼任高级管理人员以及由职工代表担任的董事人数 总计未超过公司董事总数的二分之一。 三、备查文件 1、张颖女士辞职报告； 2、2025 年第二次职工代表大会决议。 特此公告。 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有 虚假记载、误导性陈述或重大遗漏。 一、关于非独立董事辞职情况 广东德生科技股份有限公司（以下简称"公司"）董事会于 2025 年 9 月 8 日收到非独立董事张颖女士递交的书面辞职报告，因公司内部工作调整，张颖女 士申请辞去公司第 ...

证券代码：002908 证券简称：德生科技 公告编号：2025-030 广东德生科技股份有限公司 2025年第一次临时股东会决议公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚 假记载、误导性陈述或重大遗漏。 一、会议召开情况 1、会议召集人：公司董事会 二、会议出席情况 1、出席的总体情况 参加本次股东会现场会议和网络投票的股东及股东授权代表共计 380 名，代 表公司有表决权股份 182,944,172 股，占公司总股份的 42.4039％。 2、会议召开日期和时间 （1）现场会议时间：2025 年 9 月 8 日下午 14:30 （2）网络投票时间：通过深圳证券交易所交易系统进行网络投票的时间为 2025 年 9 月 8 日 9:15-9:25,9:30-11:30 和 13:00-15:00；通过深圳证券交易所 互联网投票系统投票的时间为 2025 年 9 月 8 日 9:15-15:00 的任意时间。 3、现场会议地点：广东省广州市天河区软件路 15 号二楼公司会议室。 4、会议召开方式：现场投票与网络投票相结合。 5、现场会议主持人：董事长虢晓彬先生。 6、本次股东会的召开符 ...

北京市汉坤（深圳）律师事务所 关于 广东德生科技股份有限公司 2025 年第一次临时股东会的 法律意见书 汉坤（证）字[2025]第 33874-1-O-2 号 中国广东省深圳市福田区中心四路 1-1 号嘉里建设广场第三座 20 层 518048 电话：(86 755) 3680 6500；传真：(86 755) 3680 6599 北京 上海 深圳 香港 海口 武汉 新加坡 纽约 硅谷 www.hankunlaw.com 致：广东德生科技股份有限公司 广东德生科技股份有限公司（以下简称"公司"）2025 年第一次临时股东会 （以下简称"本次股东会"）采取现场投票与网络投票相结合的方式召开，其中 现场会议于 2025 年 9 月 8 日 14:30 在广东省广州市天河区软件路 15 号二楼公司会 议室召开。北京市汉坤（深圳）律师事务所（以下简称"本所"）接受公司聘任， 指派本所律师对本次股东会进行见证，并根据《中华人民共和国公司法》《中华 人民共和国证券法》（以下简称"《证券法》"）《上市公司股东会规则》（以 下简称"《股东会规则》"）以及《广东德生科技股份有限公司章程》（以下简 称"《公司章程》"）等有关规 ...

Core Insights - The implementation of new social security regulations provides significant opportunities for the company in the social security and public service sector [1] - The company has established a grassroots service network covering nearly 170 cities, facilitating efficient execution of social security service solutions [1] AI Application - The company has developed a proprietary large model named "Zhiwei Jieyu" for the human resources vertical, accumulating service data from over 100 cities [1] - This model has been applied in key scenarios such as employment, medical services, and government affairs, enhancing job matching efficiency and streamlining medical payment services [1] - Future iterations of the model's training and reasoning capabilities are expected to improve as the new social security regulations are further implemented [1] Business Model Transformation - The company is accelerating its transformation towards data operation and industry extension, leveraging its identity value and positioning in public service [1] - It integrates various data resources to provide services such as data asset evaluation, registration, and integration, promoting deep fusion of data products and application scenarios [1] - The company is actively exploring industry RWA pathways to build a data operation service ecosystem centered around "people" [1] - Continuous innovation in AI applications and services is being pursued in flexible employment and medical payment scenarios, opening up broader development opportunities for the future [1]

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].

Core Insights - The State Council has issued the "Opinions on Deepening the Implementation of 'Artificial Intelligence+' Action," marking the entry of artificial intelligence into the national strategic implementation phase [2] - Desheng Technology (002908) aligns with policy directions through its dual-driven model of "Smart Governance + Livelihood Consumption," presenting significant growth opportunities in areas such as public welfare, governance capabilities, and data innovation [2] Policy Implementation - The policy emphasizes accelerating implementation in scientific technology, industrial development, public welfare, and governance capabilities, strengthening eight foundational capabilities including model capability, data supply, and computing power support [2] Company Developments - Desheng Technology's self-developed employment intelligence system has been promoted in multiple regions, providing precise employment services for key groups such as college graduates and veterans [2] - In the healthcare sector, the "seamless payment" user base has approached 3 million, with ongoing expansion into health management and intelligent diagnosis value-added services [2] - The company's self-developed large model has assisted various regions in upgrading social security systems, achieving an accuracy rate of over 99% in government Q&A [2] Data Integration - Leveraging long-term data accumulation in human resources, employment, and healthcare, Desheng Technology has developed a comprehensive data operation service plan, promoting deep integration of data elements with industrial scenarios [2] - Industry insiders believe that the issuance of the "Opinions" will provide policy support for the company's continuous breakthroughs in AI livelihood and smart governance, accelerating the establishment of a new pattern of intelligent social governance and public services [2]

Core Viewpoint - Guangdong Desheng Technology Co., Ltd. has engaged in a comprehensive investor survey with 25 institutions, providing insights into its operational status, future development directions, and business breakthroughs [1] Group 1: Investor Relations Activity - The investor relations activities included targeted surveys, performance briefings, site visits, and conference calls, scheduled for August 24 and August 26, 2025 [2] - Participants included various investment institutions, financial media, and securities firms, with key company representatives present [2] Group 2: Operational Analysis - The company reported significant growth in its card issuance business, with a year-on-year increase of 20.47% in the issuance of third-generation cards, totaling over 11 million cards [3] - New contracts in human resources operations and big data services grew by 12.87% year-on-year, expected to positively impact performance in the second half of the year [3] - The gross profit margin improved by 4.03% year-on-year, attributed to the reduction of low-margin businesses and optimization of employment service models [3] - Despite a decrease in absolute values of three major expenses, their proportion of revenue increased year-on-year, indicating a need for improved cost efficiency [3] - The G-end business faced pressure due to extended project initiation cycles and increased complexity, prompting a transformation in the business model [3] - Organizational restructuring costs increased due to the transformation of the business model, leading to higher management costs and time investment [3] Group 3: Future Development Directions - The company aims to solidify its position as a "social security card service provider," focusing on employment, medical, and government services, and creating a human-centered service ecosystem in collaboration with B-end partners [3] - Leveraging AI, the company plans to establish an integrated online and offline operational service system to achieve sustainable revenue, with significant market potential [3] Group 4: Q&A Highlights - AI applications have been successfully implemented in government, employment, and medical scenarios, with over 100 cities covered in government services and an accuracy rate exceeding 99% in Dongguan [4] - The revenue share from human resources operations and big data services is nearly 30%, with AI applications expected to offset declines in traditional business [4] - The employment service model has been standardized for rapid replication across cities, enhancing job matching efficiency through AI [4] - The company sees opportunities in stablecoins as financial innovation tools, exploring their integration with social security card issuance and public service scenarios [4] - In the medical field, the company has partnered with UnionPay and medical insurance to develop a "seamless medical payment platform," with nearly 3 million signed users [4] - The company anticipates stable card issuance rates in the coming years, with some cities having over 50% potential for third-generation card replacements [4] - The reduction in shareholding by the controlling shareholder was to alleviate pledge liabilities from a previous non-public share issuance [4] - Despite challenges from market conditions and G-end business, the company remains confident in its profitability and performance transformation, referencing an employee stock ownership plan released in April [4]