Sinosoft(603927)
Search documents
中科软(603927) - 中科软关于独立董事辞职的公告
2025-12-04 12:00
| 姓名 | 离任职务 | 离任时间 | 原定任期 到期日 | 离任原因 | 是否继续 在上市公 司及其控 股子公司 | 具体职务 (如适用) | 是否存在 未履行完 毕的公开 | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | 任职 | | 承诺 | | | 独立董事、 | | | | | | | | | 审计委员 | 公司股东 | | | | | | | | 会委员、薪 | 会选举产 | | | | | | | 祝中山 | 酬与考核 | 生新任独 | 2026年2月 | 连续任职 | 否 | 不适用 | 否 | | | | | 28 日 | 已满六年 | | | | | | 委员会委 | 立董事之 | | | | | | | | 员及召集 | 日 | | | | | | | | 人 | | | | | | | 证券代码:603927 证券简称:中科软 公告编号:2025-037 中科软科技股份有限公司 关于独立董事辞职的公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确 ...
中科软:独立董事祝中山辞职
Ge Long Hui· 2025-12-04 11:48
格隆汇12月4日|中科软公告,公司第八届董事会于2025年12月4日收到公司独立董事祝中山先生的书面 辞职报告。根据中国证监会《上市公司独立董事管理办法》的规定,独立董事连续任职不得超过六年, 因此祝中山先生申请辞去公司第八届董事会独立董事职务,同时一并辞去审计委员会委员、薪酬与考核 委员会委员及召集人职务,祝中山先生辞职后将不在公司担任任何职务。 ...
中科软(603927.SH):暂不涉及稳定币业务及金融支付业务
Ge Long Hui· 2025-12-04 08:37
格隆汇12月4日丨中科软(603927.SH)在投资者互动平台表示,公司暂不涉及稳定币业务及金融支付业 务,公司有金融行业涉及支付相关场景的软件解决方案。 ...
11月28日A股投资避雷针︱完美世界:实际控制人池宇峰拟减持不超过1.7%股份;金城医药:终止意向性合作事项





Ge Long Hui· 2025-11-28 00:43
Core Viewpoint - Multiple shareholders across various companies are planning to reduce their stakes, indicating potential shifts in ownership dynamics and investor sentiment in the A-share market [1] Shareholder Reductions - Perfect World: Actual controller Chi Yufeng plans to reduce holdings by no more than 1.7% [1] - Jiangsu Boyun: Shareholder Blue Three Venture Capital intends to reduce holdings by no more than 1% [1] - Matrix Technology: Li Jun plans to reduce holdings by no more than 60,000 shares [1] - Zhongzhi Technology: Zhongzhi Investment plans to reduce holdings by no more than 0.76% [1] - Yidelong: Shareholder Wang Ming plans to reduce holdings by no more than 3.2 million shares [1] - Zhongman Petroleum: Multiple shareholders plan to collectively reduce holdings by no more than 13.869 million shares [1] - Innovation New Materials: Hualian Group plans to reduce holdings by no more than 37.5607 million shares [1] - Funeng Technology: Shareholder Shanghang Xingyuan plans to reduce holdings by no more than 20.551 million shares [1] - Kaichuang International: Xiaojian Technology and its concerted actions plan to reduce holdings by 4.0247 million shares [1] - Tiansheng Biological: Shareholder Guoshou Chengda plans to reduce holdings by 571,800 shares [1] - Century Tianhong: Zhihong Education has cumulatively reduced holdings by 1.26% [1] - Zhongke Software: Kesoft Chuangyuan has reduced holdings by 0.50% [1] - Haizhu Shares: Pu Huahui has cumulatively reduced holdings by 0.94% [1] Other Notable Events - Jincheng Pharmaceutical: Termination of intended cooperation matters [1] - Ruijie Network: Shareholder agreement expiration leads to the dissolution of concerted action [1]
中科软(603927) - 中科软关于持股5%以上股东权益变动触及1%刻度的提示性公告
2025-11-27 16:02
证券代码:603927 证券简称:中科软 公告编号:2025-036 中科软科技股份有限公司 关于持股 5%以上股东权益变动触及 1%刻度的提示性公告 2、信息披露义务人信息 | 信息披露义务人名称 | 投资者身份 | 统一社会信用代码 | | --- | --- | --- | | | ☑控股股东/实控人 | | | 北京科软创源软件技术有 | □控股股东/实控人的一致行 | ☑91110108MA04F55C68 | | 限公司 | 动人 | □不适用 | | | □其他直接持股股东 | | 上述信息披露义务人无一致行动人。 二、权益变动触及 1%刻度的基本情况 北京科软创源软件技术有限公司保证向本公司提供的信息真实、准确、 完整,没有虚假记载、误导性陈述或重大遗漏。 本公司董事会及全体董事保证公告内容与信息披露义务人提供的信息一 致。 重要内容提示: | 权益变动方向 | 比例增加□比例减少☑ | | --- | --- | | 权益变动前合计比例 | 21.45% | | 权益变动后合计比例 | 20.95% | | 本次变动是否违反已作出的承诺、意向、计划 | 是□否☑ | | 是否触发强制要约收购 ...
中科软(603927.SH):科软创源已减持0.50%公司股份
Ge Long Hui A P P· 2025-11-27 11:35
Core Points - Zhongke Soft (603927.SH) announced a share reduction by its controlling shareholder, Beijing Kesoft Chuangyuan Software Technology Co., Ltd. [1] - The share reduction occurred between November 21, 2025, and November 27, 2025, with a total of 4.1563 million shares sold, representing 0.50% of the company's total share capital [1] - Following this transaction, Kesoft Chuangyuan's total shareholding decreased from 178.2264 million shares to 174.0701 million shares, reducing its ownership percentage from 21.45% to 20.95% [1]
我省发布兔养殖智能方案
Xin Hua Ri Bao· 2025-11-25 21:46
Core Insights - The 14th Rabbit Industry Development Conference was held in Xuzhou, showcasing the "Xiaohe Yunmu" intelligent breeding solution developed by Xuzhou Sentinel Rabbit Intelligent Equipment Co., Jiangsu Academy of Agricultural Sciences, and Zhongke Soft Technology Co., Ltd. [1] - The intelligent feeding system for rabbits was highlighted as a key innovation aimed at addressing the dual challenges of high feed costs and low breeding efficiency in the rabbit industry [1][2] Industry Challenges - The rabbit industry faces significant challenges, including high feed costs and low breeding efficiency, compounded by traditional manual feeding methods that require substantial labor but lack precision and uniformity [1] - The absence of comprehensive data recording during the breeding process hinders subsequent management optimization [1] Technological Solutions - The new system integrates three core functions: precise feeding, health monitoring, and data management, creating a complete framework that includes dynamic nutrition models, IoT sensing terminals, and a cloud management platform [1] - Multi-sensor fusion technology significantly reduces feeding deviations and improves uniformity, addressing the inaccuracies of manual feeding [1] - AI algorithms are employed to monitor the health status of rabbit populations in real-time, providing automatic alerts for abnormal conditions to help farmers mitigate disease transmission risks [1] Management Platform - A user-friendly management platform accessible via computer and mobile devices allows farmers to customize feeding strategies based on their specific rabbit populations and leverage industry big data to optimize breeding plans [1] Support and Future Directions - The development and promotion of this solution received support from various entities, including Jiangsu Provincial Agricultural Science and Technology Innovation Fund and the National Rabbit Industry Technology System, and has been recognized as a typical case for promoting high-quality development in animal husbandry in Jiangsu Province [2] - Future efforts will focus on exploring feeding management models suitable for intensive rabbit production, aiming to enhance the quality and efficiency of the rabbit industry while promoting its transformation towards intelligence, standardization, and branding [2]
中科软跌2.01%,成交额8384.08万元,主力资金净流出1136.00万元
Xin Lang Cai Jing· 2025-11-19 02:15
Core Viewpoint - Zhongke Soft's stock price has experienced a decline of 1.45% year-to-date, with a recent drop of 2.01% on November 19, 2023, indicating potential challenges in market performance [1]. Financial Performance - For the period from January to September 2025, Zhongke Soft reported a revenue of 4.415 billion yuan, reflecting a year-on-year growth of 7.04%. However, the net profit attributable to shareholders decreased by 40.18% to 173 million yuan [2]. - Cumulatively, since its A-share listing, Zhongke Soft has distributed a total of 1.728 billion yuan in dividends, with 977 million yuan distributed over the past three years [3]. Shareholder and Market Activity - As of October 31, 2025, the number of shareholders for Zhongke Soft increased to 65,400, a rise of 0.47%. The average number of circulating shares per person decreased by 0.47% to 12,697 shares [2]. - The stock's trading activity on November 19 showed a net outflow of 11.36 million yuan in principal funds, with significant selling pressure from large orders [1]. Company Overview - Zhongke Soft, established on May 30, 1996, and listed on September 9, 2019, is based in Haidian District, Beijing. The company specializes in computer software development, with its main revenue sources being software development and services (71.83%) and system integration services (26.63%) [1]. - The company operates within the computer software development industry, specifically in vertical application software, and is associated with various concepts including MSCI China, margin financing, cloud computing, internet healthcare, and blockchain [1].
“AI+金融”系列专题研究(一):行业拐点已至,金融是AI应用落地的绝佳“试验田”
Haitong Securities International· 2025-11-18 07:25
Investment Rating - The report suggests a positive investment outlook for the financial industry, highlighting its strong alignment with AI application and digital transformation needs [3][7]. Core Insights - The financial industry is identified as an ideal "testing ground" for AI applications due to its data-intensive nature and the increasing demand for digital transformation [1][7]. - The release of DeepSeek R1 in 2025 is anticipated to be a pivotal moment for local AI deployment in financial institutions, enhancing model reasoning capabilities and reducing costs [3][7]. - AI applications are rapidly penetrating core business areas and back-office functions within various financial institutions, with the potential to reshape business processes and organizational structures [3][7]. Summary by Sections Investment Recommendations - The report emphasizes the financial sector's need for digital transformation, which aligns well with the characteristics of large models in AI. It predicts a shift from "digital intelligence" to "artificial intelligence" in financial institutions [7]. - Key areas to focus on include: 1. Financial information services with relevant companies like Tonghuashun, Jiufang Zhitu Holdings, and Guiding Compass [8]. 2. Third-party payment services, particularly New大陆 and New国都, with related companies like Lakala [9]. 3. Bank IT, focusing on companies such as Yuxin Technology, Jingbeifang, and Guodian Yuntong [9]. 4. Securities IT, with a focus on companies like Hengsheng Electronics and Jinzhen Shares [10]. 5. Insurance IT, highlighting companies like Newzhisoft and Zhongke Soft [11]. Industry Drivers and Policy Support - The report discusses the strong internal and external drivers for AI application in finance, including the continuous expansion of IT spending by financial institutions and supportive government policies [14][25]. - The maturity of large model technology and its alignment with the financial industry's needs are emphasized, indicating a shift towards industry adaptation [14][18]. Technical Aspects - The report outlines two main technical paths for AI integration in finance: general models trained with financial data and specialized financial models [36]. - DeepSeek R1 is highlighted as a significant advancement in AI deployment for financial institutions, offering enhanced reasoning capabilities and cost efficiency [45][52]. - The report notes that the performance of DeepSeek R1 has improved significantly, with accuracy rates in complex reasoning tasks rising from 70% to 87.5% after updates [48]. Market Trends - The financial sector's technology investment is projected to grow significantly, with a total expected investment of 650 billion yuan by 2028, reflecting a compound annual growth rate of approximately 13.3% [25][31]. - The report indicates a notable increase in AI-related procurement projects within the financial sector, with 133 large model projects initiated in 2024 alone [27][35].
互联网保险概念下跌1.43% 主力资金净流出10股
Zheng Quan Shi Bao Wang· 2025-11-11 08:54
Group 1 - The internet insurance sector experienced a decline of 1.43%, ranking among the top losers in concept sectors, with notable declines from Tianli Technology, Xinhua Insurance, and Jiayun Technology [1] - The main funds in the internet insurance sector saw a net outflow of 1.301 billion yuan, with 10 stocks experiencing net outflows, and 7 stocks seeing outflows exceeding 10 million yuan [2] - The stock with the highest net outflow was Dongfang Caifu, which had a net outflow of 1.230 billion yuan, followed by Weining Health, Jinzhen Shares, and China Ping An [2] Group 2 - Among the stocks in the internet insurance sector, the top gainers included Aishida, Tongfang Shares, and Qitian Technology, with increases of 1.04%, 0.80%, and 0.27% respectively [1][3] - The stocks with the highest net outflows included Dongfang Caifu (-1.85%), Weining Health (-1.81%), and Jinzhen Shares (-1.97%) [2][3] - The net inflow leaders in the sector were Tongfang Shares, Xinhua Insurance, and Xinzhisoft, with net inflows of 69.77 million yuan, 10.51 million yuan, and 5.81 million yuan respectively [2][3]