Core Viewpoint - Dingjie Zhizhi (300378) announced the election of Mr. Sun Aibin as the employee representative director of the fifth board of directors during the employee representative assembly held on November 26 [1] Group 1 - The company held an employee representative assembly to elect a new director [1] - Mr. Sun Aibin has been elected as the employee representative director [1]

同日，公司召开职工代表大会，选举孙蔼彬先生（简历附后）为公司第五届 董事会职工代表董事，任期自本次职工代表大会选举通过之日起至公司第五届董 事会届满之日止。孙蔼彬先生符合《公司法》《公司章程》规定的董事任职资格 和条件。本次选举完成后，公司第五届董事会中兼任高级管理人员及由职工代表 担任的董事总数未超过公司董事总数的二分之一，符合相关法律法规的要求。 特此公告。 鼎捷数智股份有限公司 证券代码：300378 证券简称：鼎捷数智 公告编码：2025-11148 鼎捷数智股份有限公司 关于选举公司职工代表董事的公告 本公司及董事会全体成员保证信息披露内容的真实、准确和完 整，不存在虚假记载、误导性陈述或者重大遗漏。 根据《中华人民共和国公司法》（以下简称"《公司法》"）、《上市公司 章程指引》及《关于新<公司法>配套制度规则实施相关过渡期安排》等相关规定， 鼎捷数智股份有限公司（以下简称"公司""鼎捷数智"）于 2025 年 11 月 26 日召开 2025 年第二次临时股东大会，审议通过《关于修订<鼎捷数智股份有限公 司章程>及其附件的议案》。根据修订后的《鼎捷数智股份有限公司章程》（以 下简称"《公司章程》" ...

股东大会法律意见书 北京海润天睿律师事务所 关于鼎捷数智股份有限公司 2025 年第二次临时股东大会的法律意见书 中国·北京 朝阳区建外大街甲 14 号广播大厦 5/9/10/13/17 层 二〇二五年十一月 股东大会法律意见书 致：鼎捷数智股份有限公司 北京海润天睿律师事务所（以下简称"本所"）接受鼎捷数智股份有限公司 （以下简称"公司"）的委托，指派本所律师出席公司 2025 年第二次临时股东 大会并对本次股东大会进行律师见证。 对本法律意见书的出具，本所律师特作如下声明： 1、本所律师仅就本次会议的召集、召开程序、出席本次股东大会的人员资 格、召集人资格、本次股东大会的表决方式、表决程序及表决结果发表意见，不 对本次会议所审议的议案内容及该等议案所表述的事实或数据的真实性、准确性 和完整性发表意见。 2、本所律师无法对网络投票过程进行见证，参与本次会议网络投票的股东 资格、网络投票结果均由相应的证券交易所交易系统和互联网投票系统予以认证。 3、本所及经办律师依据《中华人民共和国证券法》《律师事务所从事证券 法律业务管理办法》和《律师事务所证券法律业务执业规则》等规定及本法律意 见书出具日以前已经发生或者 ...

1、本次股东大会未出现否决议案的情形； 2、本次股东大会不涉及变更以往股东大会已通过的决议； 3、本次股东大会采用现场表决与网络投票相结合的方式召开。 一、会议召开和出席情况 （一）会议召开情况 1、会议召集人：鼎捷数智股份有限公司（以下简称"公司"或"上市公司"） 董事会； 证券代码：300378 证券简称：鼎捷数智 公告编码：2025-11146 鼎捷数智股份有限公司 2025年第二次临时股东大会决议公告 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。 特别提示： 2、会议主持人：公司董事长叶子祯先生； 3、召开时间： （1）现场会议时间：2025 年 11 月 26 日 13:30； （2）网络投票时间：通过深圳证券交易所系统进行网络投票的具体时间为 2025 年 11 月 26 日 9:15-9:25，9:30-11:30，13:00-15:00；通过深圳证券交易 所互联网投票系统投票的具体时间为 2025 年 11 月 26 日 9:15 至 15:00 的任意时 间。 4、现场会议召开地点：上海市静安区场中路 2020 号中建瑞贝庭酒店 4 楼子 ...

Core Viewpoint - Dingjie Smart has experienced a stock price decline of 2.01% on November 26, with a current price of 44.44 CNY per share and a total market capitalization of 12.068 billion CNY [1] Financial Performance - For the period from January to September 2025, Dingjie Smart achieved a revenue of 1.614 billion CNY, representing a year-on-year growth of 2.63%, and a net profit attributable to shareholders of 51.088 million CNY, an increase of 2.40% year-on-year [2] - The company has distributed a total of 311 million CNY in dividends since its A-share listing, with 65.588 million CNY distributed over the past three years [3] Stock Market Activity - The stock has seen a year-to-date increase of 71.98%, with a recent 5-day increase of 2.42%, but a decline of 13.49% over the past 20 days and 27.24% over the past 60 days [1] - Dingjie Smart has appeared on the "Dragon and Tiger List" six times this year, with the most recent appearance on August 8, where it recorded a net buy of -140 million CNY [1] Shareholder Information - As of November 20, 2025, the number of shareholders for Dingjie Smart is 57,000, a decrease of 1.72% from the previous period, with an average of 4,728 circulating shares per person, an increase of 1.81% [2] - The top ten circulating shareholders include Huazhang Small and Medium Growth Mixed Fund, which increased its holdings by 50,700 shares, and Hong Kong Central Clearing Limited, which is a new shareholder [3]

Investment Rating - The report recommends a positive investment outlook on the AI-enabled manufacturing sector, particularly focusing on industrial software and automation companies that facilitate the digital transformation of lighthouse factories [3]. Core Insights - The report emphasizes that lighthouse factories are evolving into key carriers of new productivity and industrialization, driven by AI and the "14th Five-Year Plan" [1]. - It highlights the significant role of domestic industrial software and automation vendors in this ecosystem, which are becoming the core driving force behind the development of lighthouse factories [1]. Summary by Sections 1. From Technical Benchmark to Ecological Leadership - Lighthouse factories are recognized as the most advanced factories globally, representing the highest level of smart manufacturing [7]. - The focus of lighthouse factories has shifted from single-point applications of Industry 4.0 to comprehensive operational upgrades, emphasizing customer-centricity, production efficiency, supply chain resilience, sustainability, and talent development [10][12]. - The application of AI technologies is increasingly significant, with generative AI and predictive maintenance technologies notably reducing defect rates, energy consumption, and production cycles [16]. 2. Policy and AI Dual Empowerment - National policies are driving the rapid development of lighthouse factories, with a focus on digitalization, networking, intelligence, and green development [35]. - As of September 2025, China has 85 lighthouse factories, accounting for 42.29% of the global total, showcasing its leadership in this sector [20][22]. - The distribution of lighthouse factories in China shows a trend of coastal concentration with inland regions catching up, supported by local government initiatives [39][42]. 3. Domestic Industrial Software and Automation Vendors as Key Drivers - Hikvision is highlighted for its "Hikvision Guanlan" model, which empowers smart IoT scenarios and supports the transformation of leading factories into lighthouse factories [54]. - The report discusses the significant advancements made by various companies, including Dahua Technology, Zhongkong Technology, and others, in enhancing supply chain collaboration and digital transformation [54][56].

Core Insights - As of November 20, the company has approximately 57,000 shareholders [2] Company Information - The company, 鼎捷数智, provided an update on its shareholder count in response to investor inquiries on November 24 [2]

Core Insights - The "Athena Cup" innovation and entrepreneurship competition showcased 19 teams out of 300, highlighting the importance of AI in bridging the gap between technology and practical applications in industries [2] - Liu Bo, Vice President of Dingjie Smart, emphasized the need for a collaborative approach to address the complexities and uncertainties in enterprise decision-making through AI and data synergy [2] - The challenge of applying general AI models in industrial settings is attributed to their inability to grasp specific, tacit knowledge unique to individual factories [2] Group 1: AI and Industrial Applications - The commercialization of AI models is accelerating across various industries, but the "last mile" application challenge remains prevalent in industrial contexts [2] - The focus on digitizing industrial knowledge involves capturing unstructured data through multimodal and fragmented approaches, which can lower the barriers to knowledge storage [3] - By accumulating sufficient data across different industries, a "process knowledge graph" can be constructed to enhance data quality and improve the effectiveness of AI model applications [3] Group 2: Multi-Agent Collaboration - Dingjie has updated its Indepth AI platform and launched the Manufacturing Multi-Agent Protocol (MACP) to facilitate efficient collaboration among AI agents [4] - The platform allows for dynamic sensitivity analysis and knowledge querying, enabling the generation of comprehensive operational plans based on various business metrics [4] - The practice of multi-agent collaboration requires understanding the enterprise's knowledge system and business processes to effectively manage and control resources [5] Group 3: Future Directions - The development of AI applications within enterprises is expected to follow a pattern similar to Moore's Law, potentially doubling every 18 months, which poses challenges for management and coordination [3] - Dingjie Smart aims to deepen technological research and ecosystem development, guided by an "Intelligent+" strategy to foster innovation and breakthroughs in AI applications [5]

Core Insights - The article discusses the importance of aligning cutting-edge technology with industry needs as enterprise-level AI approaches a critical year for large-scale implementation [1] - The "Athena Cup" innovation and entrepreneurship competition aims to bridge the gap between innovative projects with robust technology and the industrial ecosystem [1] Group 1: Company Overview - Dingjie Smart, established in 1982, has 43 years of experience in the digital intelligence field, focusing on the integration of "AI + Industrial Internet" technology [1] - The company has developed the Dingjie Athena Smart Native Base, which features a cloud-edge-end collaborative architecture and focuses on scenario-based intelligent algorithm development [1] Group 2: AI Application and Innovation - During the competition, Dingjie Smart's Executive Vice President Liu Bo demonstrated the workflow of the Athena Indepth AI multi-agent collaborative platform, showcasing its ability to assist in creating reliable business plans under various constraints [2] - Liu Bo emphasized that the future competitiveness of enterprises will significantly depend on the density of internal AI applications, which may follow Moore's Law, potentially doubling every 18 months [3] Group 3: Competition Details - The competition was structured in a "2+4" model, consisting of two groups (innovation and entrepreneurship) and four tracks (advanced manufacturing, digital future, health technology, green economy), attracting around 300 teams from both sides of the Taiwan Strait [5] - After multiple rounds of competition, 19 teams advanced to the finals, with awards given for outstanding projects, including two excellence awards, four distinguished projects, and thirteen potential projects [5]

Core Viewpoint - The integration of data and AI is reshaping industry dynamics, with a focus on creating collaborative environments between humans and digital entities, as highlighted by the advancements made by Dingjie Zhizhi in AI applications [1][2]. Group 1: Company Innovations - Dingjie Zhizhi has introduced the "Intelligent+" strategy, which aims to leverage AI innovations to enhance operational efficiency and collaboration between physical and digital worlds [1]. - The company has developed a conceptual framework involving "one model, two cores, and three types of intelligent agents," which includes digital avatars, expert agents, and commander agents working in synergy [1]. - Over the past decade, Dingjie Zhizhi has focused on creating platforms that facilitate better collaboration between humans and digital entities, resulting in various intelligent toolkits for diverse applications [1]. Group 2: Industry Events - The 2025 "Athena Cup" Cross-Strait Youth Talent Innovation and Entrepreneurship Competition attracted around 300 teams, with 19 advancing to the finals, showcasing the innovative capabilities of young entrepreneurs [2]. - The competition emphasized the importance of innovation and collaboration, providing a platform for youth creators to demonstrate their technological advancements [2]. - Winning projects included a scalable water-based autonomous driving initiative and a cross-domain drone operation platform, highlighting the practical applications of AI in industry [2]. Group 3: Future Directions - Dingjie Zhizhi plans to continue enhancing its technology development and ecosystem building, aiming to empower more enterprises in their digital transformation journeys [3]. - The company intends to bridge the gap between AI technology and business operations, accelerating the implementation of innovative solutions and fostering industry transformation [3]. - There is a commitment to creating a new blueprint for the digital ecosystem, focusing on collaborative efforts to drive technological breakthroughs and business model innovations [3].