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灵境智源完成超亿元融资 机器人时代的安卓来了?

亿邦动力 2026-07-08 11:33
亿邦动力 2026/07/08 11:33

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本文核心信息是上海AI研究院孵化的灵境智源完成超亿元天使轮及天使+轮融资,定位具身原生全栈计算底座服务商,目标成为“机器人时代的安卓”,核心给各类机器人提供国产自主可控的端侧软硬一体方案。

1. 核心团队背景扎实,创始人孙博有丰富的行业经验和上市企业操盘经历,联合创始人有通信底层研发经验,核心成员均来自芯片、通信、工业测控领域头部企业。

2. 技术与产品落地情况良好,针对行业痛点独创超异构架构,自研三大核心板块,推出两大系列产品分别适配不同机器人场景,目前已经和超70%的主流机器人企业对接,已有头部客户的千台级订单,还在推进自研芯片规划。

本文给布局机器人领域的品牌商透露了最新的产业消费趋势与合作机会,可参考的干货如下。

1. 产业与消费趋势:当前人形、四足、工业机器人赛道落地加速,下游对自主可控、低延迟的全栈底层方案需求迫切,端侧部署大模型已经成为行业主流方向,市场需求已经放量,头部客户已经出现千台级订单。

2. 商业合作机会:灵境智源已经搭建开放共享的产学研生态,参与开源鸿蒙建设降低开发门槛,同时提供兼容英伟达生态和全国产化两类方案,可覆盖不同定位的机器人产品,品牌商可对接该生态,依托其70%以上的行业覆盖率快速拓展客户,降低自身技术开发成本。

本文给机器人相关卖家披露了具身智能赛道的最新增长机会与风险提示,干货内容如下。

1. 赛道增长机会:当前具身智能机器人已经进入落地加速阶段,底层计算底座的需求缺口较大,全品类机器人都有旺盛需求,灵境智源已经对接300多家整机企业,头部客户已经落地千台级订单,说明B端需求已经明确放量。

2. 合作与商业模式机会:灵境智源开放生态,提供即插即用的不同算力层级方案,兼顾兼容现有生态和国产自主可控,卖家可以对接合作,降低自身开发门槛,快速推出符合市场需求的产品。

3. 风险提示:赛道核心竞争力是自主可控,卖家需要选择符合国产替代方向的合作伙伴,规避供应链风险。

本文给机器人上下游工厂提供了产品需求方向、商业机会和数字化转型的干货启示,内容如下。

1. 产品生产设计需求:当前机器人产品对底层算力要求提升,需要大小脑融合、低延迟的方案,端侧大模型部署成为刚需,人形、工业等高要求场景对全链路自主可控的需求更高,全品类机器人都有对应需求。

2. 商业机会:灵境智源已经覆盖超70%的国内具身整机企业,累计对接300余家,上下游零部件工厂可以对接其开放生态,获得更多对接下游客户的机会,符合国产自主方向的零部件需求会更旺盛。

3. 数字化转型启示:机器人赛道智能化升级加速,工厂可以依托现有开放产学研生态,降低自身智能化升级的门槛,借助外部技术资源提升产品竞争力。

本文给具身智能领域的相关服务商提供了行业痛点、发展趋势和商业机会的干货,内容如下。

1. 行业客户痛点:当前具身智能行业普遍存在大脑与小脑割裂、通用CPU加GPU方案延迟高的痛点,同时行业对国产自主可控的全栈软硬一体方案需求迫切,现有方案无法充分满足市场需求。

2. 行业发展趋势:具身智能底层计算底座是当前机器人赛道的核心风口,已经获得资本认可,端侧算力适配、端侧大模型部署是核心技术方向,国产替代需求明确,行业已经进入商业化落地阶段。

3. 商业机会:灵境智源正在构建开放共享的产学研生态,降低全行业开发门槛,相关服务商可以加入该生态,对接累计300余家的下游整机客户,拓展自身业务边界。

本文给布局具身智能赛道的平台商提供了行业需求、生态建设和风向规避的干货参考,内容如下。

1. 行业对平台的核心需求:当下机器人整机企业对开放、低门槛、自主可控的底层技术生态需求强烈,现有分散的技术方案开发门槛高,无法满足快速落地的需求,需要平台整合资源降低行业门槛。

2. 平台生态建设参考:可参考灵境智源的生态做法,联合产学研机构整合芯片、系统、模型资源,同时推出兼顾兼容现有主流生态和全国产化自主可控的两类方案,满足不同定位客户的需求。

3. 招商与风向规避:招商可重点倾斜具备全栈自主研发能力的底层技术企业,紧跟国产替代政策方向,优先发展自主可控的生态,规避供应链卡脖子的风险。

本文给具身智能领域的研究者披露了最新产业动向、行业问题和创新商业模式,干货内容如下。

1. 最新产业新动向:国内具身智能底层赛道已经获得资本认可,成立仅半年多的灵境智源完成超亿元两轮融资,定位“机器人时代的安卓”切入全栈计算底座赛道,目前已经实现商业化落地,行业覆盖率超过70%,头部客户已经落地千台级订单,技术上FPGA原型已经验证,规划2027年完成自研芯片流片。

2. 行业新问题:当前行业普遍存在大小脑割裂、通用算力方案延迟高、底层技术对外依赖的痛点,亟待技术和生态层面的突破。

3. 创新商业模式参考:灵境智源走开放生态路线,联合产学研机构,依托开源鸿蒙降低全行业开发门槛,通过分层产品覆盖不同场景需求,这种模式对研究具身智能产业商业模式有较高参考价值。

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Quick Summary

This article covers the core update that Lingjing Zhiyuan, an incubated startup from the Shanghai AI Laboratory, has completed over RMB 100 million in combined angel and angel+ financing. Positioned as a native embodied AI full-stack computing infrastructure provider, the company aims to become the "Android for the robot era," focusing on delivering domestically controlled, end-to-end integrated hardware-software solutions for all types of robots.

1. Its core team has solid industry credentials: founder Sun Bo has extensive industry experience and a track record of leading a listed company, while co-founders bring deep expertise in underlying communications R&D. All core members hail from leading enterprises in chips, communications and industrial measurement and control.

2. The company has made solid progress in technology and product commercialization: it has developed a proprietary heterogeneous architecture to address key industry pain points, built three core proprietary technology modules, and launched two product lines tailored for different robot scenarios. It has already established connections with over 70% of mainstream robotics companies, secured 1,000-unit orders from leading clients, and is advancing plans for self-developed chips.

This article outlines the latest industry and consumer trends and partnership opportunities for brands looking to enter the robotics space:

1. Industry and consumer trends: Commercial adoption of humanoid, quadruped and industrial robots is accelerating. Downstream players have urgent demand for autonomous, controllable, low-latency full-stack foundational solutions, and end-side large model deployment has become the industry mainstream. Market demand has already scaled up, with 1,000-unit orders already placed by leading clients.

2. Business partnership opportunities: Lingjing Zhiyuan has built an open, shared industry-university-research ecosystem and participates in the open-source OpenHarmony project to lower development barriers. It offers two solution options that are compatible with the NVIDIA ecosystem and fully domestically produced, covering robot products of different positioning. Brands can access this ecosystem to quickly expand their customer base leveraging its 70%+ industry coverage and cut in-house technology development costs.

This article shares the latest growth opportunities and risk warnings in the embodied AI track for robotics-related sellers:

1. Track growth opportunities: The commercialization of embodied AI robots is accelerating, creating a large supply gap for foundational computing infrastructure. Demand is strong across all robot categories. Lingjing Zhiyuan has already connected with more than 300 complete robot manufacturers, and leading clients have placed 1,000-unit orders, confirming that B-side demand has grown substantially.

2. Partnership and business model opportunities: Lingjing Zhiyuan runs an open ecosystem and offers plug-and-play solutions for different computing tiers, supporting both compatibility with existing ecosystems and domestic autonomy. Sellers can partner with the company to lower development barriers and quickly launch products that meet market demand.

3. Risk warning: Core competitiveness in this track hinges on autonomous control. Sellers should partner with players aligned with the domestic substitution trend to avoid supply chain risks.

This article provides insights on product demand directions, business opportunities and digital transformation for factories across the robotics upstream and downstream supply chain:

1. Product design and manufacturing requirements: Robot products now have higher requirements for underlying computing power, with a need for integrated "brain-cerebellum" low-latency solutions. End-side large model deployment has become a standard requirement, and full-stack autonomous control is in especially high demand for demanding scenarios such as humanoid and industrial robots, with demand across all robot categories.

2. Business opportunities: Lingjing Zhiyuan already covers over 70% of China's embodied AI complete robot manufacturers, with connections to more than 300 companies in total. Upstream and downstream component factories can join its open ecosystem to gain more access to downstream clients, and demand for domestically developed components that align with autonomy goals is growing strongly.

3. Insights on digital transformation: Intelligent upgrading in the robotics sector is accelerating. Factories can leverage existing open industry-university-research ecosystems to lower the barrier to their own intelligent upgrading and improve product competitiveness with external technical resources.

This article shares insights on industry pain points, development trends and business opportunities for service providers in the embodied AI space:

1. Core client pain points: The embodied AI industry currently faces widespread issues including the separation of "brain" and "cerebellum" functions and high latency from generic CPU+GPU architectures. There is also urgent industry demand for fully domestically controlled full-stack integrated hardware-software solutions, which existing offerings cannot adequately meet.

2. Industry development trends: The underlying computing infrastructure for embodied AI has become a key growth area in the robotics sector and has already secured capital backing. End-side computing power adaptation and end-side large model deployment are the core technical directions, demand for domestic substitution is clear, and the industry has entered the commercialization stage.

3. Business opportunities: Lingjing Zhiyuan is building an open, shared industry-university-research ecosystem to lower development barriers across the industry. Relevant service providers can join this ecosystem to connect with more than 300 downstream complete robot manufacturers and expand their business scope.

This article provides reference on industry demand, ecosystem building and risk mitigation for platforms positioned in the embodied AI track:

1. Core industry demand for platforms: Today's complete robot manufacturers have strong demand for an open, low-barrier, autonomous underlying technology ecosystem. Existing fragmented technical solutions have high development barriers and cannot meet the demand for rapid commercialization, so the industry needs platforms to integrate resources and lower entry barriers.

2. Ecosystem building reference: Platforms can learn from Lingjing Zhiyuan's approach by partnering with industry-university-research institutions to integrate chip, system and model resources, while offering two types of solutions compatible with existing mainstream ecosystems and fully domestic autonomous control respectively, to meet the needs of clients with different positioning.

3. Recruitment and risk mitigation: Platforms should prioritize investment in underlying technology companies with full-stack independent R&D capabilities, align with the policy direction of domestic substitution, and prioritize the development of autonomous ecosystems to avoid the risk of supply chain bottlenecks.

This article discloses the latest industry developments, unmet industry challenges and innovative business models for researchers in the embodied AI field:

1. Latest industry developments: China's underlying embodied AI track has already gained recognition from capital. Lingjing Zhiyuan, founded just over six months ago, has completed over RMB 100 million in two financing rounds. Positioning itself as the "Android for the robot era," it focuses on the full-stack computing infrastructure track and has already achieved commercialization. It holds over 70% industry coverage, has secured 1,000-unit orders from leading clients, validated its FPGA prototype, and plans to complete tape-out of its self-developed chip by 2027.

2. Unmet industry challenges: The industry broadly faces pain points including the separation of "brain" and "cerebellum" functions, high latency from generic computing solutions, and reliance on foreign underlying technology, leaving an urgent need for breakthroughs in technology and ecosystem building.

3. Reference for innovative business models: Lingjing Zhiyuan pursues an open ecosystem strategy, partners with industry-university-research institutions, leverages OpenHarmony to lower development barriers across the industry, and covers different scenario demands with tiered products. This model offers high reference value for research on embodied AI industry business models.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】日前,上海灵境智源科技有限公司(下称“灵境智源”)完成超亿元的天使轮和天使 + 轮两轮融资,本轮由经纬创投领投,上海闵行国资战略跟投。

灵境智源成立于2025年7月,由上海人工智能研究院孵化,定位具身原生全栈计算底座服务商,目标成为"机器人时代的安卓",聚焦具身智能底层Infra,提供国产自主可控的端侧软硬一体全栈方案,适配人形、轮式、四足等全品类机器人。

公司创始人兼CEO孙博,毕业于上海交通大学自动化与人工智能专业本硕,浙江大学博士。曾担任美国国家仪器(NI)华南区域技术负责人,后以创始合伙人创办珠海精实测控技术股份有限公司,并成功推动企业向港股上市。联合创始人须海江,为中科院电子学研究所硕士。为蓝涧科技创始人、前爱立信中国研发核心通信专家,在通信与底层系统研发领域拥有丰富的经验。其他核心团队成员主要来自华为、中兴、昆仑芯等芯片、通信、工业测控头部企业。

灵境智源核心技术,是针对行业"大脑与小脑割裂、通用CPU+GPU延迟高"的痛点,独创"德沃夏克"超异构架构,实现大小脑融合协同。全栈自研包括三大板块:MS-OS具身专用操作系统、"德沃夏克"异构硬件算力方案、类脑协同模型体系。并计划2026年中启动具身原生芯片设计,2027年流片,目前FPGA原型已验证。

目前,灵境智源的核心产品主要为两大系列:通境N系列是基于英伟达核心模组的高性能具身智能端侧计算平台,兼容英伟达生态,提供从N100到N1000的算力覆盖,适用于轮式机器人、协作机械臂、人形机器人等动态场景,提供即插即用的算力与控制支持;致境T系列为全栈国产化端侧计算平台,涵盖T40、T80、T200、T500、T1500等型号,算力覆盖40TOPS至1500TOPS,支持大模型端侧部署,采用航空级散热,适用于人形机器人、工业机器人、四足机器狗等高要求场景,实现从硬件到系统的全面自主可控。

目前,公司已与多家机器人头部企业合作,客户覆盖乐聚、星海图、帕西尼、智平方、傅利叶等主流人形、四足机器人。累计对接300+具身整机企业,行业覆盖率超70%,部分头部客户实现单家超千台订单。在生态构建层面,灵境智源与科大讯飞、一博科技、上海交通大学等产学研机构构建开放共享的生态链,深度参与开源鸿蒙生态建设,降低具身智能开发门槛。

文章来源:亿邦动力

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FAQ回顾

灵境智源是做什么的?

灵境智源是上海人工智能研究院孵化的具身原生全栈计算底座服务商,成立于2025年7月,目标成为“机器人时代的安卓”,聚焦具身智能底层Infra,提供国产自主可控的端侧软硬一体全栈方案,适配人形、轮式、四足等全品类机器人。

灵境智源有哪些核心产品?

灵境智源核心产品分为两大系列,通境N系列是基于英伟达核心模组的高性能具身智能端侧计算平台,兼容英伟达生态,适配轮式机器人、协作机械臂等动态场景;致境T系列为全栈国产化端侧计算平台,算力覆盖40TOPS至1500TOPS,支持大模型端侧部署,实现软硬件全面自主可控。

灵境智源的客户覆盖情况怎么样?

目前灵境智源已与乐聚、星海图、帕西尼、傅利叶等多家机器人头部企业合作,累计对接超300家具身整机企业,行业覆盖率超70%,部分头部客户实现单家超千台订单,还与科大讯飞、上海交通大学等共建开放生态链。

灵境智源解决了具身智能行业的哪些痛点?

灵境智源针对具身智能行业“大脑与小脑割裂、通用CPU GPU延迟高”的痛点,独创“德沃夏克”超异构架构实现大小脑融合协同,全栈自研MS-OS具身专用操作系统、异构硬件算力方案、类脑协同模型体系三大核心板块。

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