最神秘老板娘,她成立一家VC

marsbitPublished on 2026-08-17Last updated on 2026-08-17

Abstract

本文介绍了神秘投资人杨景婷及其执掌的芯禾资本。杨景婷是万亿市值上市公司中际旭创董事长刘圣的妻子,此前极为低调。她通过芯禾资本等平台,在半导体、光电等硬科技领域进行系统性投资,已布局铭镓半导体、纵慧芯光、光联芯科等多个项目。文章指出,这反映了一个趋势:中国一批凭借实业积累财富的企业家,正越来越多地亲自下场,将资金和产业认知投向AI、半导体等前沿科技领域,以定义和押注未来。

“你认识中际旭创老板娘的基金吗?求对接。”

最近与投资人交流,一个名字被频繁提起——芯禾资本,背后是一位女投资人:杨景婷。

也许外界并不熟悉这个名字,但说起她的丈夫——中际旭创董事长刘圣,大家便不陌生。今年4月,夫妇二人一同现身清华大学捐赠仪式,杨景婷才第一次走进公众视野。

但其实这些年,她低调率队芯禾资本,已经投出一张隐秘版图。

中际旭创老板娘,执掌一家VC

抽丝剥茧,从一笔捐赠说起。

今年4月,清华大学苏世民书院公告了一笔捐赠——1989级校友、中际旭创董事长刘圣及夫人杨景婷向清华大学捐赠,用于支持苏世民书院的建设与发展。仪式合影中,刘圣杨景婷夫妇、黑石掌门人苏世民等关键人士均在列。

图片来源

刘圣,外界并不陌生。根据此前中际旭创H股招股书,刘圣1994年从清华大学机械工程系本科毕业,随后进入中国科学院自动化研究所攻读工业自动化硕士学位。他所执掌的中际旭创,今年破万亿市值。

他的配偶——杨景婷,极为低调,互联网上几乎搜不到她的过往信息。此次清华大学捐赠,大概是外界第一次公开看到她的身影。

天眼查显示,杨景婷名下关联企业近20家,既有对单一项目的直接投资,也有以LP身份出资创投基金,还有亲自下场操盘的基金——芯禾资本

芯禾资本的私募基金管理人为海南芯禾私募基金管理合伙企业(有限合伙)(简称:海南芯禾)。根据中基协公示信息,海南芯禾的执行事务合伙人为朱瑞,持股10%,杨景婷持股90%。而朱瑞曾在中际旭创投资部担任投资总监。

杨景婷的履历也随之浮现。根据中基协信息,2009年7月至2013年6月,她曾在上海新太阳置业有限公司总裁办担任董事长助理。

2014年2月起,她正式开始职业投资生涯,先后在苏州园林营造产业股权有限公司、常州启智投资管理有限公司、苏州工业园区极目成长投资管理合伙企业(有限合伙)、常州纳芯创业投资合伙企业(有限合伙)任职,历任营销副总、风控负责人、高级顾问兼投资决策委员会成员等岗位。

2021年3月,海南芯禾注册成立,机构类型为私募股权、创业投资基金管理人,管理规模10-20亿元。同年8月,杨景婷加入,在海南芯禾总经办担任合伙人、信息填报负责人、副总经理。

整体来看,杨景婷与丈夫刘圣在商业上并无太多直接关联,名下仅共同持股两家公司:海南省芯源企业管理合伙企业(有限合伙)和上海长格企业管理有限公司,均由杨景婷持股51%、刘圣持股49%。其中前者对外投资了沃赋创投旗下子基金。

揭秘投资版图

层层穿透,一张隐秘的投资版图渐渐浮现。

先说直投。杨景婷直接出资了苏州苏纳光电股份有限公司。这家公司成立于2014年,由来自清华大学、中国科学院的科技人员创办,深耕光通信、光传感芯片领域,背后站着国投招商、福睿基金、永鑫方舟、沃赋创投等投资方,目前苏纳光电已启动IPO进程。

LP方面,杨景婷出资了永鑫方舟旗下子基金“苏州永鑫融慧创业投资合伙企业(有限合伙)”,以及乾融控股旗下两只子基金。

记得今年4月,永鑫方舟管理合伙人韦勇曾向我们聊起与中际旭创的渊源——早在2016年,永鑫方舟就投了中际旭创,那是韦勇创办基金后出手的第一个项目,单笔超过1.8亿元。

而杨景婷最核心的投资平台,还是芯禾资本。

这家机构聚焦光电半导体材料、芯片元件及设备部件等上游核心环节,重点投向数据中心、智能终端、智能汽车等前沿领域。2021年成立至今,芯禾资本出手不算多,但今年尤为活跃,开年以来已投资约13个项目,是去年的两倍。

2026年7月,第四代半导体企业铭镓半导体完成超1.5亿元Pre-B轮融资,芯禾资本参与投资。同月,合肥九思电子完成A+轮融资,芯禾资本领投。更早之前,芯禾资本还投资了纵慧芯光等半导体企业。

在光互连与光电领域,芯禾资本今年6月参与了光联芯科近5亿元的A轮融资;功率半导体领域则刚投了主营车规级功率与电源模块的悉智科技。此外,芯禾资本还参投了青禾晶元、JBD显耀显示等科技公司,并在去年与淮安签约设立芯禾凝瑞基金,推动区域产业升级与先进制造项目落地。

从半导体材料到光互连,从功率器件到设备部件,芯禾资本的路径鲜明——围绕光电半导体产业链的关键节点,做系统性的卡位布局。

押注下一个未来

由此望去,一个趋势愈发清晰:那些靠实业起家的中国富豪们,正集体把目光投向科技赛道。他们不再满足于只做LP,而是亲自下场,用家族办公室或自有资金,押注下一代技术。

梳理今年一批明星AI公司,身后密集浮现了蓝思科技的身影。背后是一位女掌门周群飞,她凭借一片玻璃书写创业逆袭的传奇,成为执掌千亿市值的“玻璃女王”。最近几年,她和蓝思科技的身影开始出现在VC圈,投出强脑科技、星海图、擎天租、跨维智能、逐际动力、格式塔科技等一批明星公司。

执掌千亿市值的汇川技术董事长朱兴明,则通过家族办公室“明荟投资”布局前沿科技,主要投向脑机接口、AI计算等领域,今年早些时候出手了百亿具身独角兽千寻智能。近5000亿市值的立讯精密,也成立了家族办公室——立翎基金,投资了微纳核芯、中芯集成、芯联动力等科技企业。

不久前, DeepSeek 首轮融资中,意外出现了九安医疗的身影。掌舵人刘毅白手起家,缔造了300亿市值的九安医疗。财富自由后,他把触角伸向创投圈:既做LP出资奇绩创坛、九合创投等基金,也直接投资了月之暗面 Kimi 、阶跃星辰、智元机器人、自变量机器人等明星项目。

梳理下来,这些企业家的共同点是:在实业领域积累了深厚的产业认知和巨额财富,现在用这些认知和财富,去定义下一代技术。相比财务投资,他们给的不只是钱,还有订单、场景和产业链协同。

钱的流向,总是影响深远。

过去很长一段时间里,中国富豪的钱往往流向房地产和传统制造业。如今潮水转向,大量资金正集体涌向AI、半导体、具身智能、脑机接口、可控核聚变等前沿硬科技领域。毕竟,这是未来的方向,落后便是出局。

本文来自微信公众号 “投资界”(ID:pedaily2012),作者:周佳丽

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Related Questions

Q文章中提到的最神秘的老板娘是谁?她的主要投资平台是什么?

A文章中提到的最神秘的老板娘是杨景婷,她是中际旭创董事长刘圣的配偶。她的主要投资平台是芯禾资本,具体管理人为海南芯禾私募基金管理合伙企业(有限合伙),她持股90%。

Q杨景婷的投资聚焦在哪些领域?

A杨景婷通过芯禾资本,聚焦投资于光电半导体材料、芯片元件及设备部件等上游核心环节,重点投向数据中心、智能终端、智能汽车等前沿领域。投资案例包括铭镓半导体、合肥九思电子、纵慧芯光、光联芯科、悉智科技等公司。

Q除了芯禾资本,杨景婷还通过哪些方式进行投资?

A除了亲自下场操盘的芯禾资本,杨景婷的投资方式还包括:对单一项目进行直接投资,例如投资了苏州苏纳光电股份有限公司;以及以LP(有限合伙人)身份出资创投基金,例如出资了永鑫方舟旗下子基金和乾融控股旗下的两只子基金。

Q文章中提到,除了杨景婷,还有哪些实业起家的富豪或企业在布局科技投资?

A文章中还提到以下实业起家的富豪或企业在布局科技投资:蓝思科技的周群飞(玻璃女王),投资了强脑科技、星海图等AI公司;汇川技术董事长朱兴明,通过家族办公室“明荟投资”布局脑机接口、AI计算等领域;立讯精密成立了家族办公室“立翎基金”,投资微纳核芯、中芯集成等;九安医疗的刘毅,既做LP也直接投资了月之暗面(Kimi)、阶跃星辰等明星AI项目。

Q为什么说杨景婷极为低调?文中列举了哪些体现她低调的事实?

A文中说杨景婷极为低调,体现在以下几点:1. 互联网上几乎搜不到她的过往信息。2. 直到2026年4月,她与丈夫刘圣一同出席清华大学捐赠仪式,才第一次走进公众视野。3. 她虽名为“中际旭创老板娘”,但与丈夫刘圣在商业上并无太多直接关联,名下仅共同持股两家公司。4. 她近年来低调率队芯禾资本,已经投出一张“隐秘版图”。

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This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

1.1k Total ViewsPublished 2025.01.14Updated 2025.01.14

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