Group 1 - CloudWalk Technology's stock increased by 5.12% to 17.65 CNY per share, with a trading volume of 658 million CNY and a turnover rate of 4.60%, resulting in a total market capitalization of 18.33 billion CNY [1] - The company, established on March 27, 2015, and listed on May 27, 2022, is based in Shanghai and specializes in providing efficient human-machine collaboration operating systems and industry solutions, contributing to the industrialization of artificial intelligence and the intelligent transformation of various industries [1] - The revenue composition of CloudWalk Technology includes 75.55% from artificial intelligence solutions, 24.19% from human-machine collaboration operating systems, and 0.25% from other sources [1] Group 2 - Tianhong Fund has a significant holding in CloudWalk Technology, with the Tianhong CSI 1000 Index Enhanced A Fund (014201) owning 498,900 shares, representing 0.91% of the fund's net value, ranking as the ninth largest holding [2] - The Tianhong CSI 1000 Index Enhanced A Fund was established on January 4, 2022, with a current size of 347 million CNY, achieving a year-to-date return of 35.34% and a one-year return of 79.29%, ranking 1321 out of 4220 and 986 out of 3814 in its category, respectively [2] - The fund manager, Yang Chao, has been in the position for 10 years and 350 days, overseeing a total asset size of 5.991 billion CNY, with the best fund return during his tenure being 109.84% and the worst being -57.89% [3]

Core Insights - CloudWalk Technology's stock rose by 3.25% on September 22, with a trading volume of 784 million yuan [1] - The company recorded a net financing purchase of 19.99 million yuan on the same day, with a total financing balance of 970 million yuan, representing 6.65% of its market capitalization [1] Financing Overview - On September 22, CloudWalk Technology had a financing purchase of 111 million yuan and a financing repayment of 90.86 million yuan, resulting in a net financing inflow of 19.99 million yuan [1] - The total financing and securities lending balance reached 970 million yuan, exceeding the 80th percentile of the past year, indicating a high level of financing activity [1] Securities Lending Activity - On September 22, the company repaid 4,200 shares in securities lending and sold 5,589 shares, amounting to a selling value of 97,500 yuan [1] - The remaining securities lending volume was 129,400 shares, with a balance of 2.26 million yuan, which is above the 70th percentile of the past year, indicating a relatively high level of short selling [1] Company Profile - CloudWalk Technology, established on March 27, 2015, and listed on May 27, 2022, is based in Zhangjiang Artificial Intelligence Island, Shanghai [1] - The company specializes in providing efficient human-machine collaboration operating systems and industry solutions, focusing on promoting the industrialization of artificial intelligence and the intelligent transformation of various industries [1] - The revenue composition includes 75.55% from AI solutions, 24.19% from human-machine collaboration operating systems, and 0.25% from other sources [1] Shareholder Information - As of June 30, the number of shareholders for CloudWalk Technology was 52,200, a decrease of 11.08% from the previous period [2] - The average circulating shares per person increased by 24.37% to 15,965 shares [2] - For the first half of 2025, the company reported a revenue of 169 million yuan, a year-on-year increase of 40.21%, while the net profit attributable to the parent company was -230 million yuan, reflecting a year-on-year growth of 35.51% [2] Institutional Holdings - As of June 30, 2025, notable changes in institutional holdings included the exit of Bosera CSI Star Market 100 ETF and Southern CSI 1000 ETF from the top ten circulating shareholders [2]

云从科技与华为的合作可以追溯到2019年，云从科技首次与华为昇腾携手，而国内AI大模型产业当时 仍处于起步阶段。基于昇腾硬件底座和MindSporeAI框架，云从科技构建了独具特色的"混合云+混合模 型"架构。这种公有云与私有云相结合、开源与闭源模型相融合的创新模式，既满足了客户对数据安全 性的要求，又提供了灵活高效的AI服务能力。 同时，云从科技通过战略投资奕斯伟计算、众数信科、元生智能等企业，正在构建一个AI产业生态 圈。在这个生态圈内，奕斯伟的计算芯片能力、众数信科的AI智能体技术、元生智能的终端应用方 案，与云从科技的AI基础设施和智能体平台形成互补，这种协同效应正在不断拓展AI技术的应用边 界，催生新的创新应用场景。 9月18日，2025年华为全联接大会开幕，作为华为合作伙伴的云从科技(688327)也在此次大会上亮相， 并获得"昇腾生态最佳实践伙伴"奖项。 据云从科技介绍，华为与云从科技共同打造的武汉国家网安基地训推一体化中心系国内首个基于可信数 据空间的可控训练场，正在为AI智能体的进化提供安全可靠的成长环境。该中心通过可信数据空间技 术，企业可以在确保数据安全的前提下，进行AI模型的训练和优化 ...

中信建投证券股份有限公司 经中国证券监督管理委员会（简称"中国证监会"）"证监许可〔2022〕333 号文"批准，云从科技集团股份有限公司（简称"公司"或"云从科技"）向社 会公开发行人民币普通股 112,430,000 股。公司本次发行新股的发行价为 15.37 元/股，募集资金总额为 172,804.91 万元，扣除发行费用 10,095.42 万元后，实际 募集资金净额为 162,709.49 万元。本次公开发行股票于 2022 年 5 月 27 日在上海 证券交易所上市。中信建投证券股份有限公司（简称"中信建投证券"）担任本 次公开发行股票的保荐人。根据《证券发行上市保荐业务管理办法》，由中信建 投证券完成持续督导工作，出具本持续督导跟踪报告。 | 序号 | 工作内容 | 持续督导情况 | | --- | --- | --- | | 1 | 建立健全并有效执行持续督导工作制度， | 保荐人已建立健全并有效执行了持续 | | | 并针对具体的持续督导工作制定相应的工 | 督导工作制度，并结合持续督导各项工 | | | 作计划。 | 作事宜制定了相应的工作计划。 | | 2 | 根据中国证监会相关规定，在 ...

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、准确性和完整性依法承担法律责任。 为进一步加强与投资者的互动交流，云从科技集团股份有限公司（以下简称 "公司"）将参加由广东证监局、广东上市公司协会与深圳市全景网络有限公司 联合举办的"向新提质 价值领航——2025 年广东辖区投资者集体接待日暨辖区 上市公司中报业绩说明会"，现将相关事项公告如下： 本次活动将采用网络远程的方式举行，投资者可登录"全景路演"网站 （http://rs.p5w.net），或关注微信公众号：全景财经，或下载全景路演 APP 参与 本次互动交流，活动时间为 2025 年 9 月 19 日（周五）15:30-17:00。 届时公司董事长兼总经理周曦先生，董事、副总经理兼董事会秘书杨桦女士， 财务总监高伟女士，将在线就 2025 年半年度业绩、公司治理、发展战略、经营 状况、融资计划、股权激励和可持续发展等投资者关心的问题，与投资者进行沟 通与交流，欢迎广大投资者踊跃参与！ 证券代码：688327 证券简称：云从科技 公告编号：2025-041 云从科技集团股份有限公司关于参加 广东辖 ...

Core Insights - The emergence of large models, particularly DeepSeek, is driving the commercialization of AI across various industries, enabling companies to deploy AI applications at lower costs [1] - AI-driven companies like Cambrian, Industrial Fulian, SenseTime, CloudWalk, and iFlytek are experiencing significant revenue growth due to the increasing demand for AI capabilities [3][5][6][9] Company Summaries - **Cambrian**: Achieved a substantial turnaround with a revenue increase of 4347% year-on-year in the first half of 2025, reaching 2.881 billion yuan, and net profit of 1.038 billion yuan, compared to a loss of 530 million yuan in the previous year [3][4] - **Industrial Fulian**: Benefited from the AI model's demand for computing power, reporting a revenue of 360.76 billion yuan, a 35.58% increase year-on-year, and a net profit of 12.113 billion yuan, up 38.61% [5] - **SenseTime**: Experienced a revenue growth of 36% year-on-year, totaling 2.358 billion yuan in the first half of 2025, with generative AI revenue growing 73% to 1.815 billion yuan, accounting for 77% of total revenue [6] - **CloudWalk**: Reported a revenue of 169 million yuan, a 40% increase year-on-year, while reducing losses to 230 million yuan, a 35% decrease from the previous year [7][8] - **iFlytek**: Generated 10.9 billion yuan in revenue in the first half of 2025, a 17% increase, with its education segment growing 23.47% to 3.531 billion yuan [9][10] - **Kingdee**: Achieved a revenue of 3.192 billion yuan, an 11.2% increase, with cloud service revenue growing 11.9% to 2.673 billion yuan [11] Industry Trends - The AI sector is entering a new growth cycle driven by generative AI technologies, with global AI spending projected to grow at a compound annual growth rate of 29% from 2024 to 2028, reaching 632 billion dollars by 2028 [12]

Core Viewpoint - The Chinese AI agent industry has established a "SaaS-MaaS-RaaS" tripartite business model, driven by technology, policy, and ecosystem factors, accelerating the commercialization of a trillion-level market through regional differentiated competition [1]. Business Model Summary - The AI agent industry in China can be categorized into three main models based on service form, deployment method, and application scenario: - **SaaS Model**: Dominates the market with a 30% share, driven by the demand for standardized intelligent tools. It operates on a subscription basis, focusing on efficiency improvement through basic subscription fees and value-added services [3][12]. - **MaaS Model**: Fastest growth at 15%, reflecting the acceleration of model-as-a-service commercialization. It relies on computational power and model innovation for customer acquisition, with significant cost advantages, such as SenseTime's model inference cost being 60% lower than the industry average [3][8]. - **RaaS Model**: Accounts for 12% of the market, focusing on human-machine collaborative automation in sectors like manufacturing and finance, with notable improvements in operational efficiency [3][8]. Market Dynamics - The AI agent industry is experiencing a competitive race among innovation parks, with Shanghai's Xuhui District housing over 1,000 companies and offering substantial computational subsidies. SenseTime's generative AI revenue reached 2.4 billion yuan in 2024, constituting 63.7% of its total revenue [4]. - The industry is supported by policy initiatives, such as the Ministry of Industry and Information Technology promoting "AI + manufacturing" actions and various cities providing computational vouchers and project subsidies to foster ecosystem development [7][8]. Financial Metrics - **SaaS Model**: Average gross margin of 60%-80%, customer retention rate of 75%-90%, and annual customer spending between 50,000 to 500,000 yuan [11][12]. - **MaaS Model**: Average gross margin of 40%-60%, customer retention rate of 60%-75%, and annual customer spending between 100,000 to 2 million yuan [11][12]. - **RaaS Model**: Average gross margin of 30%-50%, customer retention rate of 50%-65%, and annual customer spending between 200,000 to 1 million yuan [11][12].

Core Insights - The collective performance briefing of 18 companies listed on the Sci-Tech Innovation Board highlighted their operational achievements and latest business developments, emphasizing increased R&D investment and the role of AI in driving business growth [1] AI Empowerment in Business Development - The software industry is undergoing a technological revolution, with AI enhancing data collection efficiency and decision-making capabilities, thereby enriching product functionality and market competitiveness [2] - Several companies reported significant AI-related contract values, with one company achieving nearly 10 million yuan in pure AI contracts and over 26 million yuan in indirect AI product revenues, totaling over 36 million yuan in AI-related contracts [2] - A specific company noted that its revenue from the AI sector rose to 55.78%, with a 40.21% year-on-year increase in overall revenue due to the growth of AI solution business [3] International Market Expansion - Many companies view internationalization as a key development strategy, actively seeking to expand into overseas markets [4] - One company is focusing on Africa and Central Asia, successfully landing related project orders in these regions [4] - Another company is implementing a smart mining management platform project in Guinea, Africa, and is researching the demand for industrial software in major resource-rich countries [4] - A company is prioritizing the launch and upgrade of AI features for its overseas versions, ensuring local adaptation to meet regional needs [4] R&D Investment Supporting Innovation - Continuous R&D investment is crucial for innovation, with one company reporting a 6.6 percentage point increase in overall gross margin due to enhanced R&D efforts [6] - Another company is experiencing rapid growth in R&D investment, driven by strategic considerations for long-term innovation and market competitiveness [6] - Future R&D directions include developing a full-process design platform for analog circuits and AI-based chip design optimization algorithms, which are expected to drive new growth [6][7]

Core Insights - The software industry in the Sci-Tech Innovation Board is experiencing a technological revolution driven by AI, enhancing product functionality and market competitiveness [1] - Companies are significantly increasing their R&D investments to support innovation and product development, which is reflected in improved financial performance [4][5] - International expansion is a key strategic focus for many companies, with efforts to capture overseas market opportunities [2][3] AI Empowerment in Business Development - AI technology is improving data collection efficiency and decision-making capabilities, enriching product features and enhancing market competitiveness [1] - Several companies reported substantial AI-related contract revenues, with one company achieving nearly 36 million yuan in AI contracts in the first half of the year [2] - The proportion of revenue from AI-related products has significantly increased for some companies, with one reporting 55.78% of its revenue from the AI sector [2] International Market Expansion - Many companies view internationalization as a crucial growth strategy, actively seeking partnerships and opportunities in overseas markets [2][3] - Companies are focusing on regions like Africa and Central Asia for expansion, with successful project implementations already underway [3] - Strategies include localizing products to meet regional demands and regulatory standards while optimizing team configurations for better service delivery [3] R&D Investment Supporting Innovation - Continuous R&D investment is vital for innovation, with companies reporting increased R&D spending leading to improved product iterations and new developments [4] - One company noted a 6.6 percentage point increase in overall gross margin due to enhanced R&D efforts [4] - Future R&D directions include developing advanced design platforms and AI-based optimization algorithms to maintain competitive advantages [5]

Core Insights - The company expects future profit growth to be driven by three main factors: core technological advantages, market expansion, and operational efficiency improvements [1] Group 1: Core Technological Advantages - The company's "Calm Multimodal Large Model" has demonstrated leading performance in international evaluations [1] - The strategy of "AI Infrastructure + AI Intelligent Agents" is continuously enhancing product competitiveness [1] Group 2: Market Expansion - The company is deepening its presence in mature sectors such as smart finance and smart governance [1] - It is accelerating expansion into new fields like intelligent manufacturing and smart energy, as well as exploring overseas markets [1] Group 3: Operational Efficiency Improvements - The company is optimizing its business structure and controlling costs, leading to a significant reduction in period expenses [1] - Continuous improvement in operational efficiency is being achieved [1]