特此公告。 拓尔思信息技术股份有限公司董事会 2025 年 8 月 21 日 1 拓尔思信息技术股份有限公司 2025 年半年度报告披露的提示性公告 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，没有虚假记载、误导 性陈述或重大遗漏。 拓尔思信息技术股份有限公司（以下简称"公司"）于 2025 年 8 月 20 日召开 第六届董事会第二十二次会议，审议通过了《2025 年半年度报告》及《2025 年 半年度报告摘要》。 为使投资者全面了解公司经营成果、财务状况，公司《2025 年半年度报告》 及其摘要已于 2025 年 8 月 21 日在中国证券监督管理委员会指定的创业板信息披 露网站巨潮资讯网（www.cninfo.com.cn）披露，敬请投资者注意查阅。 证券代码：300229 证券简称：拓尔思 公告编号：2025-039 ...

证券代码：300229 证券简称：拓尔思 公告编号：2025-043 拓尔思信息技术股份有限公司 董事会关于募集资金 2025 年半年度存放与使用情况的专项报告 本公司及董事会全体成员保证信息披露内容的真实、准确、完整，没有虚假记载、误导 性陈述或重大遗漏。 根据《上市公司募集资金监管规则》及《深圳证券交易所上市公司自律监管 指引第 2 号——创业板上市公司规范运作》等有关规定，拓尔思信息技术股份有 限公司（以下简称"公司"）董事会现将募集资金 2025 年半年度存放与使用情况 说明如下： 一、向特定对象发行股票募集资金基本情况 （一）实际募集资金金额、资金到位时间 经中国证券监督管理委员会出具的《关于同意拓尔思信息技术股份有限公司 向特定对象发行股票注册的批复》（证监许可〔2024〕790 号）核准，公司本次 向特定对象发行股份数量为 78,328,981 股，发行价格为 11.49 元/股，本次发行募 集资金总额为 899,999,991.69 元，扣除相关发行费用 9,634,003.76 元（不含税） 后，实际募集资金净额为 890,365,987.93 元。立信会计师事务所（特殊普通合伙） 对公司本 ...

拓尔思信息技术股份有限公司（以下简称"公司"）第六届董事会第二十二次 会议于 2025 年 8 月 20 日在公司会议室以现场结合通讯表决的方式召开，会议通 知于 2025 年 8 月 8 日以电话、电子邮件、专人送达方式发出。本次会议应出席 董事 7 名，实际出席会议董事 7 名。本次会议由董事长兼总经理施水才先生主持， 部分高级管理人员列席了本次会议。本次会议的召集和召开符合《中华人民共和 国公司法》等有关法律、行政法规、部门规章、规范性文件和《拓尔思信息技术 股份有限公司章程》的有关规定。 二、董事会会议审议情况 经与会董事审议，一致通过以下议案： 证券代码：300229 证券简称：拓尔思 公告编号：2025-040 拓尔思信息技术股份有限公司 第六届董事会第二十二次会议决议公告 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，没有虚假记载、误导 性陈述或重大遗漏。 一、董事会会议召开情况 表决结果：同意 7 票、反对 0 票、弃权 0 票，本议案获得通过。 三、备查文件 （一）审议通过《2025 年半年度报告》及《2025 年半年度报告摘要》 《2025 年半年度报告》及《2025 年半年度 ...

格隆汇8月20日丨拓尔思(300229.SZ)公布2025年半年度报告，上半年公司实现营业收入2.45亿元，同比 下降38.36%；归属于上市公司股东的净利润-7363.12万元，同比盈转亏；归属于上市公司股东的扣除非 经常性损益的净利润-8944.63万元；基本每股收益-0.0843元。 ...

拓尔思8月20日披露半年报，公司上半年实现营业收入2.45亿元，同比下降38.36%；归属于上市公司股 东的净利润亏损7363.12万元，上年同期盈利5981.16万元；基本每股收益-0.0843元。 ...

拓尔思信息技术股份有限公司 2025 年半年度报告全文 拓尔思信息技术股份有限公司 2025 年半年度报告 2025-042 2025 年 8 月 21 日 1 拓尔思信息技术股份有限公司 2025 年半年度报告全文 第一节 重要提示、目录和释义 公司董事会、监事会及董事、监事、高级管理人员保证半年度报告内容 的真实、准确、完整，不存在虚假记载、误导性陈述或者重大遗漏，并承担 个别和连带的法律责任。 公司负责人李渝勤、主管会计工作负责人林义及会计机构负责人(会计主 管人员)林义声明：保证本半年度报告中财务报告的真实、准确、完整。 所有董事均已出席了审议本次半年报的董事会会议。 本年度报告中涉及未来计划或规划等前瞻性陈述的，均不构成公司对投 资者的实质承诺，投资者及相关人士均应对此保持足够的风险认识，并且应 当理解计划、预测与承诺之间的差异，敬请投资者注意投资风险。 公司在本报告第三节"管理层讨论与分析"中"十、公司面临的风险和应对 措施"部分，详细描述了公司经营中可能存在的风险及应对措施，敬请投资者 关注相关内容。 公司计划不派发现金红利，不送红股，不以公积金转增股本。 2 拓尔思信息技术股份有限公司 202 ...

Group 1 - The core viewpoint emphasizes the strong rise of domestic alternatives in the data security sector, with notable stock performances from companies like Guotou Intelligent and Zhongke Shuguang [1] - The National Data Bureau reported significant advancements in China's digital infrastructure, with 5G base stations expected to reach 4.55 million and gigabit broadband users at 226 million by June 2025 [1] - The integration of AI technology and large models is reshaping traditional security paradigms, highlighting the necessity for a "trustworthy, controllable, and secure" digital foundation [1] Group 2 - The big data industry ETF (516700) focuses on data security, tracking the CSI Big Data Industry Index, with major holdings in companies like Zhongke Shuguang and Keda Xunfei [2] - Investors are encouraged to pay attention to three catalytic factors in the technology self-reliance direction, although specific details are not provided [2] - The call for "technology to take the lead" indicates a potential breakthrough in new productive forces, accelerating the process of domestic substitution [3]

Group 1 - The core viewpoint of the news highlights the strong rise of domestic alternatives in the market, with notable stock performances such as Guotou Intelligent hitting a 20% limit up and Zhongke Shuguang increasing over 7% with a net inflow of 1.8 billion yuan from main funds [1][3] - The National Data Bureau reported significant advancements in China's digital infrastructure, with 4.55 million 5G base stations and 226 million gigabit broadband users expected by June 2025, positioning China as a global leader in this sector [3] - The AI technology and large model iterations are accelerating, presenting challenges to traditional security paradigms, and emphasizing the need for a "trustworthy, controllable, and secure" digital foundation [3] Group 2 - The Big Data Industry ETF (516700) focuses on data security and has seen a price increase of over 2.2% during trading, indicating strong market interest in this sector [1][3] - Key catalysts for investment in the technology self-reliance direction include high-level calls for "technology to take the lead," the activation of digital productivity through top-level design, and the acceleration of the domestic substitution process [3] - The market for AI and security integration is vast, with significant opportunities in various sectors such as industry, education, healthcare, finance, and law [3]

Group 1 - The Computer ETF (159998) showed strong performance, rising 1.15% with a trading volume exceeding 28 million yuan as of August 14 [1] - Among the constituent stocks, Zhongke Shuguang increased by over 7%, with other stocks like Jiangbolong, China Great Wall, Shiji Information, and Hengsheng Electronics also experiencing gains [2] - The latest scale of the Computer ETF (159998) reached 3.493 billion yuan, ranking first among all computer-related ETF products in the market [2] Group 2 - The Cloud Computing ETF (517390) rose by 0.49% with a trading volume exceeding 14 million yuan as of the same date [2] - Notably, Huasheng Tiancai hit the daily limit, with Zhongke Shuguang, Shuguang Shuchuang, Tuolisi, and Changliang Technology also reaching the daily limit [2] - The Cloud Computing ETF (517390) recorded a 5.87% increase over the past week (August 7-13), leading among similar products [2] Group 3 - The National Development and Reform Commission reported significant advancements in China's digital infrastructure during the 14th Five-Year Plan, with 5G base stations expected to reach 4.55 million and gigabit broadband users at 226 million by June 2025 [3] - The total computing power in China ranks second globally, contributing positively to economic and social development [3] - Recent earnings reports from overseas AI application software companies like AppLovin and Palantir exceeded expectations, indicating accelerated commercialization of AI [3]

Group 1 - The Chinese artificial intelligence agency industry has formed a clear competitive hierarchy, with significant head effects and rapid emergence of vertical fields and new enterprises. The competition is mainly divided into three tiers: technology giants, vertical field enterprises, and innovative startups [1][3] - Representative companies in different tiers have diverse business layout directions, with technology giants and vertical field enterprises focusing on B-end markets, while startups emphasize C-end markets [3][4] - The market concentration in the AI agency sector is high, with CR4 at approximately 78% and CR5 at about 88%, indicating a typical "Matthew effect" where the head is concentrated while the tail is dispersed [5] Group 2 - The market share concentration varies by application area, with the highest concentration in government applications (CR3 at 60%) and the lowest in intelligent customer service (CR3 at 40%) due to lower market entry barriers [7] - The market is categorized by technology types, including reflexive agents, goal-driven agents, and self-learning agents, with self-learning agents experiencing the highest growth rate, particularly in medical diagnosis and scientific research [9] - Major companies are adopting a "multi-point flowering, collaborative development" strategy, with Baidu focusing on digital humans and intelligent collaboration platforms, while Huawei emphasizes government and industrial applications [11][12] Group 3 - The competitive landscape of the Chinese AI agency industry is characterized by an oligopolistic structure, with major players like Baidu, Alibaba, Tencent, Huawei, and ByteDance holding over 80% market share [13] - Second-tier companies such as iFlytek, SenseTime, and CloudWalk are focusing on vertical scenarios like education and finance, leveraging industry know-how for survival [14] - The industry is transitioning from a "technology race" to an "ecosystem positioning + scenario profitability" phase, with increased competition leading to a potential consolidation of startups due to tightening financing and high computing costs [14]