金十数据6月25日讯，虹软科技公告，信息披露义务人南京瑞联新兴产业投资基金合伙企业（有限合 伙）通过竞价交易、大宗交易等方式减持公司股份，持股比例由16.09%减少至10.00%。本次权益变动 后，信息披露义务人持有公司股份数量总数为4011.7万股。 虹软科技：南京瑞联新兴产业投资基金持股比例减少至10% ...

Core Viewpoint - On June 20, a total of 9 stocks on the Sci-Tech Innovation Board experienced block trading, with a cumulative transaction amount of 77.84 million yuan [1][2]. Group 1: Trading Overview - There were 14 block trades executed, totaling 3.64 million shares and an aggregate transaction value of 77.84 million yuan [1]. - The stock with the highest transaction amount was Hongsoft Technology, with 2 block trades totaling 448,000 shares and a transaction value of 17.92 million yuan [1]. - Other notable stocks in terms of transaction value included Zhuhai Guanyu and Delong Laser, with transaction amounts of 15.83 million yuan and 9.48 million yuan, respectively [1]. Group 2: Price and Performance Analysis - The average discount rates for block trades relative to the closing prices were highest for Zhongyou Technology, Hongsoft Technology, and Chengdu Xian Dao, with discount rates of 13.40%, 10.25%, and 9.49% respectively [1]. - The only stock with a premium was Transsion Holdings, which had a premium rate of 1.96% [1]. - The Sci-Tech 50 Index fell by 0.53%, with 170 stocks rising, accounting for 28.91% of the total [1]. - Among the stocks involved in block trading, the average decline was 2.04%, with Delong Laser and Jinghe Integration showing gains of 2.86% and 0.41%, while Zhongyou Technology, Jingye Intelligent, and Ankai Micro experienced declines of 7.58%, 3.87%, and 3.51% respectively [1]. Group 3: Institutional Participation - Among the block trades, there were 5 transactions involving institutional buyers or sellers across 4 stocks [2]. - The leading stocks for institutional buying were Hongsoft Technology and Delong Laser, with amounts of 10.92 million yuan and 9.48 million yuan respectively [2]. - The stocks with the highest institutional selling amounts were Zhongyou Technology and Jingye Intelligent, with amounts of 8.40 million yuan and 2.00 million yuan respectively [2]. Group 4: Capital Flow - Two stocks saw net inflows of capital, with Hongsoft Technology and Jinghe Integration receiving net inflows of 234,790 yuan and 1,310 yuan respectively [2]. - Conversely, the stocks with the highest net outflows included Zhongyou Technology, Chengdu Xian Dao, and Ankai Micro, with net outflows of 49.71 million yuan, 11.33 million yuan, and 10.03 million yuan respectively [2].

证券代码：688088 证券简称：虹软科技 公告编号：临 2025-022 虹软科技股份有限公司 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。 虹软科技股份有限公司（以下简称公司）于 2019 年 7 月 22 日完成首次公开 发行股票并在上海证券交易所科创板上市。华泰联合证券有限责任公司（以下简 称华泰联合）作为公司首次公开发行股票并在科创板上市项目的联席保荐机构， 原指定彭松林先生、田来先生担任保荐代表人负责保荐工作，持续督导期至 2022 年 12 月 31 日止。因公司首次公开发行股票募集资金尚未使用完毕，华泰联合和 保荐代表人 2022 年 12 月 31 日后继续对公司首次公开发行股票募集资金的存放 和使用情况履行持续督导责任，直至募集资金使用完毕。因原保荐代表人工作变 动，华泰联合指定邵熠女士、张骁铂先生担任持续督导保荐代表人。 特此公告。 虹软科技股份有限公司董事会 附件： 第 1 页 / 共 2 页 林增鸿先生，硕士，保荐代表人，现任华泰联合证券投资银行业务线副总监。 曾负责或参与航天宏图 IPO 项目 ...

近日，公司收到华泰联合出具的《华泰联合证券有限责任公司关于更换虹软 科技股份有限公司科创板首次公开发行股票持续督导保荐代表人的函》，张骁铂 先生因工作变动调离华泰联合，不能继续担任持续督导期的保荐工作。为保证持 续督导工作的有序进行，华泰联合指定由保荐代表人林增鸿先生（简历见附件） 接替张骁铂先生履行持续督导职责。本次变更后，公司首次公开发行股票的持续 督导保荐代表人为邵熠女士、林增鸿先生。 公司董事会对张骁铂先生在公司首次公开发行股票的持续督导期间所做出 的贡献表示衷心感谢! 证券代码：688088 证券简称：虹软科技 公告编号：临 2025-022 虹软科技股份有限公司 关于更换持续督导保荐代表人的公告 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、准确性和完整性依法承担法律责任。 虹软科技股份有限公司（以下简称公司）于 2019 年 7 月 22 日完成首次公开 发行股票并在上海证券交易所科创板上市。华泰联合证券有限责任公司（以下简 称华泰联合）作为公司首次公开发行股票并在科创板上市项目的联席保荐机构， 原指定彭松林先生、田来先生担任保荐代表人负责 ...

Investment Rating - The report assigns an "Outperform" rating to the company [4] Core Insights - The company is positioned as a leading player in AI visual algorithms, focusing on innovative applications driven by artificial intelligence, with core business areas in smartphones, smart driving, and AIoT [1][15] - The company has a strong technology reuse model that drives commercial implementation, maintaining high gross margins of over 90% for its software products [2][34] - The company is expected to benefit from the recovery of the global smartphone market and the expansion of its smart automotive and AI-related businesses, projecting significant revenue growth in the coming years [3][28] Summary by Sections Company Overview - Founded in 1994 and listed on the STAR Market in 2019, the company specializes in computer vision algorithms and serves major clients like Samsung, Xiaomi, and OPPO [1][15] - The company has established a global presence with R&D and commercial bases in multiple countries [15] Business Segments - **Smartphones**: The company aims to penetrate low-end models while enhancing the value of its algorithms, potentially opening a market space worth billions [2] - **Smart Automotive**: The VisDrive platform is tailored for mainstream chips, with products targeting both high-end and low-end vehicles, expected to see increased demand due to regulatory changes [3] - **AI Glasses and AI Commercial Photography**: The company is leveraging multi-modal technologies to tap into the growing AI glasses market and enhance its commercial photography platform, which is projected to generate significant revenue [3] Financial Projections - The company forecasts net profits of 310 million, 409 million, and 526 million yuan for 2025, 2026, and 2027 respectively, with corresponding PE ratios of 56.7, 43.0, and 33.5 [4][8] - Revenue is expected to grow significantly, with a projected increase from 670 million yuan in 2023 to 1.813 billion yuan in 2027 [8] Strategic Positioning - The company employs a "technology-product-open platform" strategy, creating a comprehensive ecosystem that enhances its competitive edge [35] - The focus on edge computing and AI technology positions the company well for future growth across various sectors [38][39] Management and Structure - The management team consists of highly educated professionals with extensive experience in technology and business management, contributing to the company's innovative capabilities [23][26] - The company maintains a concentrated ownership structure, which supports its strategic decision-making and operational efficiency [21][22]

Group 1: AI Innovation in Hangzhou - Hangzhou is accelerating its development in artificial intelligence, aiming to establish itself as an AI innovation hub, with a focus on creating a robust ecosystem for AI industries [2][3] - The city has launched initiatives such as the "AI High Ground in Binjiang" column to highlight local advancements, including the participation of the Yushu G1 humanoid robot in the CMG World Robot Contest [3][4] Group 2: Advanced Algorithms and Models - The Yushu G1 robot's capabilities are driven by advanced algorithms and computational power, showcasing the active development of algorithm models in Binjiang [4][6] - Companies like Lianhui Technology and Xingyan Intelligent Technology are working on large models that enhance visual recognition and decision-making capabilities for robots [5][6] Group 3: Computer Vision and Perception - Computer vision technology, particularly SLAM (Simultaneous Localization and Mapping), is crucial for robots to perceive their environment accurately, with companies like Rainbow Soft leading in this field [7][8] - Rainbow Soft's visual AI technology is widely applied across various smart devices, enhancing robots' environmental awareness and interaction capabilities [7][8] Group 4: Robotics and Core Technologies - Companies like Jingye Intelligent Technology are developing advanced robotic systems capable of operating in extreme environments, focusing on durability and reliability [9][10] - Jingye's innovations include a nuclear industry mechanical arm and emergency rescue robots, emphasizing the importance of practical applications of embodied intelligence in robotics [10]

证券代码：688088 证券简称：虹软科技 公告编号：临 2025-021 虹软科技股份有限公司2024年年度权益分派实施公告 本公司董事会及全体董事保证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。 重要内容提示： 每股现金红利0.25元（含税） 相关日期 | 股权登记日 | 除权（息）日 | 现金红利发放日 | | --- | --- | --- | | 2025/6/20 | 2025/6/23 | 2025/6/23 | 一、 通过分配方案的股东大会届次和日期 本次利润分配方案经虹软科技股份有限公司（以下简称公司）2025 年 5 月 15 日的2024年年度股东大会审议通过。 二、 分配方案 1. 发放年度：2024年年度 2. 分派对象： 截至股权登记日下午上海证券交易所收市后，在中国证券登记结算有限责任 公司上海分公司（以下简称"中国结算上海分公司"）登记在册的本公司全体股东 （虹软科技股份有限公司回购专用证券账户除外）。 公司根据上海证券交易所的相关规定，按照以下公式计算除权除息开盘参考 价： 除权（息）参考价格=（前收盘价格-现金红 ...

FANGDA PARTNERS http://www.fangdalaw.com 中国上海市石门一路 288 号 电子邮件 E-mail: email@fangdalaw.com 兴业太古汇香港兴业中心二座 24 楼 电 话 Tel.: +86-21-2208 1166 邮政编码：200041 传 真 Fax.: +86-21-5298 5599 24/F, HKRI Centre Two HKRI Taikoo Hui 288 Shi Men Yi Road Shanghai, PRC 200041 2025 年 5 月 30 日 致：虹软科技股份有限公司 根据虹软科技股份有限公司(以下称"虹软科技"或"公司")的委托，上海 市方达律师事务所(以下称"本所")就虹软科技 2024 年度利润分配所涉及的差异 化分红(以下称"本次差异化分红")相关事项出具本法律意见。 本法律意见书依据《中华人民共和国公司法》《中华人民共和国证券法》《上 海证券交易所上市公司自律监管指引第 7 号——回购股份》及其他相关中华人民 共和国境内已公开颁布并生效的法律、法规、规章及规范性文件(以下合称"中国 法律法规")以及《虹软科技 ...

Group 1: Global AI Outlook - The report highlights a new paradigm in AI development characterized by new scaling, new architecture, and new total addressable market (TAM) opportunities [1] - The demand for computing power is expected to rise due to advancements in both training and inference processes, potentially unlocking new TAMs [1][3] - The report maintains a positive outlook on AI industry investments, anticipating that global AI applications will enter a performance harvesting phase [1] Group 2: Model Development - The pre-training scaling law is anticipated to open a new starting point for model development, with significant innovations in architecture being explored [2][23] - The report notes that the classic transformer architecture has reached a parameter scale bottleneck, with existing public data nearly exhausted [2][20] - Major tech companies are experimenting with new architectures, such as Tencent's Hunyuan TurboS and Google's Gemini Diffusion, which may accelerate scaling law advancements [23][24] Group 3: Computing Power Demand - The report identifies a clear long-term upward trend in computing power demand, driven by both training and inference needs [3][32] - New scaling paths are emerging in the post-training phase, with ongoing exploration of new architectures that may reignite pre-training demand narratives [3][33] - The deployment of large-scale computing clusters, such as OpenAI's StarGate, is expected to support the exploration of pre-training [38] Group 4: Application Development - The report indicates that the rapid advancement of agent applications is leading to a performance harvesting phase for global AI applications [4][67] - The commercialization of agent products is accelerating, with domestic AI applications quickly iterating and entering the market [4][67] - The report emphasizes that agent applications are evolving from simple tools to complex solutions, with significant growth expected in various sectors [5][68] Group 5: Business Model Transformation - The shift from traditional software delivery to outcome-based delivery is highlighted as a key trend, with quantifiable ROI accelerating the adoption of agent applications [5] - Specific sectors such as consumer-facing scenarios (advertising, e-commerce) and AI in marketing/sales are expected to lead in commercialization due to their inherent advantages [5][67] - The report notes that AI applications in HR are transitioning from efficiency tools to strategic hubs, indicating a broader transformation in business models [5][67]

Market Overview - The Shanghai Composite Index is at 3389.00 points, above the six-month moving average, with a slight increase of 0.04% [1] - The total trading volume of A-shares today is 512.26 billion yuan [1] Stocks Breaking the Six-Month Moving Average - A total of 75 A-shares have surpassed the six-month moving average today [1] - Notable stocks with significant deviation rates include: - Meirui New Materials (300848) with a deviation rate of 8.28% and a price increase of 8.72% [1] - Wankong Intelligent Manufacturing (603070) with a deviation rate of 7.52% and a price increase of 9.97% [1] - Hitec High-tech (002023) with a deviation rate of 5.81% and a price increase of 10.01% [1] Detailed Stock Performance - The following stocks have notable performance metrics: - Sichuan Jiuzhou (000801) with a price increase of 3.47% and a deviation rate of 2.56% [2] - Phoenix Light (600071) with a price increase of 3.05% and a deviation rate of 2.47% [2] - Raytheon Micro Power (301050) with a price increase of 4.04% and a deviation rate of 2.26% [2]