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灵初智能已完成过亿美元融资 产业龙头聚力加持 全面提速具身智能商业化进程

龚作仁 2026-08-27 11:12
龚作仁 2026/08/27 11:12

邦小白快读

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本文核心信息是灵初智能刚完成新一轮过亿美元融资,获得国资体系与产业端双重认可,将全面提速具身智能商业化落地,核心干货如下:

1. 本轮投资方汇聚拓普集团、奇瑞控股瑞丞基金、蓝思科技、三七互娱等多个赛道的产业龙头与专业投资机构,老股东珠海科技产业集团也超额追加投资,目前灵初已经构建起涵盖国家级资本、地方国资、产业龙头、市场化机构的多元股东矩阵。

2. 灵初智能自研双模型混合架构,聚焦具身智能灵巧操作核心技术,走人类数据驱动世界模型的技术路线,本次融资资金将重点用于技术攻坚和物流、先进制造场景的商业化落地。

3. 灵初依托芜湖国家级机器人产业集群的全产业链优势,可快速对接300余家上下游配套企业,能高效辐射全国市场,为产品规模化落地提供坚实保障。

本文披露了具身智能领域最新融资动态与产业发展趋势,能给布局智能化转型的品牌商提供参考,核心干货如下:

1. 当前制造业、物流、消费零售等多领域对高精度、高可靠性的灵巧操作智能化方案需求迫切,具身智能已经从硬件参数竞争的早期阶段,进入数据、模型与软硬协同能力共同驱动的全新竞争周期,实体产业智能化转型是明确的消费与产业发展趋势。

2. 灵初智能不跟风卷自由度、人形外观,聚焦“灵巧操作+人类数据+世界模型”的落地路线,已经能在物流分拣、工业产线等场景实际落地,该聚焦真实需求、不做无效演示的发展路线值得品牌商布局智能化参考。

3. 本次多家产业龙头入局投资,证明绑定产业资源、依托产业集群落地的产融结合模式可行,品牌商布局智能化可参考该模式,对接产业资源快速落地。

本文透露了具身智能商业化落地带来的新增量机会,能给相关领域的从业者提供参考,核心干货如下:

1. 当前制造业精密装配检测、物流分拣、零售服务等多个领域,都对能实际上岗的智能化灵巧操作方案有迫切需求,具身智能落地是明确的增长市场,蕴含大量创业与业务拓展机会。

2. 灵初智能的商业化路径证明,聚焦真实场景解决痛点、推出可落地的方案,比堆砌硬件参数、制作演示Demo更能获得资本与产业端的认可,相关从业者可参考其“小全栈”落地路线,聚焦细分场景打穿打透。

3. 当前具身智能已经形成“国家政策引导+产业场景落地+资本长期护航”的发展环境,芜湖等产业集群有完善的供应链与场景支持,从业者可依托产业集群降低落地成本,同时要注意提前搭建数据迭代飞轮,构建自身技术壁垒才能建立竞争优势。

本文披露了具身智能给制造工厂带来的转型机会与合作方向,核心干货如下:

1. 当前大量工厂的非标作业环节,比如3C产品精密装配、检测、物流分拣等,都存在智能化升级需求,灵初智能的具身智能技术可实现复杂场景的灵巧作业,能帮助工厂实现柔性智能制造升级,提升生产效率,是工厂数字化转型的新方向。

2. 本次投资灵初的投资方多为制造业龙头,未来灵初会和拓普集团等在人形机器人执行器、灵巧手核心硬件研发生产、数采手套量产、工业产线数据闭环等多个维度展开深度合作,有相关生产配套能力的工厂可对接相关合作,挖掘新的商业机会。

3. 工厂推进数字化转型,可参考灵初智能的全栈数据闭环思路,通过采集真实作业数据训练优化模型,持续改进生产流程,还可依托本地机器人产业集群的资源,对接上下游配套降低转型成本。

本文披露了当前具身智能行业的发展趋势与核心痛点,能给AI、智能制造领域服务商提供参考,核心干货如下:

1. 行业发展趋势方面,具身智能已经从早期拼本体硬件参数的阶段,进入数据、模型与软硬协同能力共同驱动的新一轮竞争周期,聚焦灵巧操作、落地真实产业场景是未来的主流发展方向。

2. 当前行业普遍存在的核心痛点是高质量物理交互训练数据供给不足,传统遥操作数据采集方案成本高、效率低,制约行业发展,灵初智能自研低成本数采方案,将采集成本降到传统方案的十分之一,还构建了人类全模态操作数据体系,形成“数据—模型—部署—再采集”的迭代飞轮,为行业提供了可参考的成熟解决方案。

3. 产业客户的核心需求是能真正上岗干活的落地方案,而非停留在演示层面的技术,服务商做产品研发需要聚焦真实场景需求,才能获得市场与资本的认可。

本文披露了具身智能产业对平台的需求,以及地方产业平台的成功布局经验,可供各类产业平台参考,核心干货如下:

1. 具身智能科创企业发展需要全产业链配套、应用场景资源、资本的多重支持,产业平台可围绕产业链关键环节精准布局,提前构建覆盖核心零部件、整机制造到系统集成的完整产业生态,为入驻企业对接供应链、场景、资本资源,吸引优质科创企业落地。

2. 芜湖作为全国首个国家级机器人产业集聚发展试点,通过地方国资投资平台绑定优质企业,开放本地产业集群的资源池与场景库,为企业对接配套与落地场景,这种“资本投资+生态赋能”的运营模式值得各类产业平台学习借鉴。

3. 当前具身智能处于商业化落地关键期,平台需要规避只重技术参数不重实际落地的风向,重点引入具备核心技术壁垒、实际落地能力的企业,打造差异化产业生态,抢占行业发展先机。

本文披露了具身智能领域最新的产业动向与技术范式创新,对相关领域研究者有较高参考价值,核心干货如下:

1. 产业新动向方面,当前具身智能已经获得国资体系与产业端的双重权威认可,形成了“国家政策引导+产业场景落地+资本长期护航”的立体化发展格局,产业资本深度入局带来产融协同的乘数效应,加速技术落地进程。技术路线上出现了“灵巧操作+人类数据+世界模型”的新范式,不同于行业此前卷自由度、人形外观的发展方向,更侧重实际产业落地。

2. 当前行业面临的核心新问题是高质量物理交互训练数据供给不足,传统采集方案成本过高,灵初智能的低成本数采方案、双模型混合协同架构、数据迭代飞轮,为破解这一核心瓶颈提供了全新解法。

3. 商业模式上,灵初智能走技术创新绑定产业场景资源的产融协同路线,依托产业投资方的资源加速落地,这种软硬一体化的商业化模式,为具身智能创业公司提供了新的研究样本。

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Quick Summary

This article reports that Lingchu Intelligence has just completed a new over-$100 million funding round, earning recognition from both state-backed capital and industry players, and will accelerate the commercial deployment of its embodied intelligence. Key takeaways:

1. This round was led by a group of industry leaders and professional investors from multiple sectors, including Topgroup, Chery Holding’s Ruicheng Fund, Lens Technology and Sanqi Interactive Entertainment. Existing shareholder Zhuhai Technology Industry Group also over-subscribed its follow-on investment. Today, Lingchu has built a diverse shareholder base covering national-level capital, local state-owned assets, leading industry players and market-oriented investment institutions.

2. The company developed its own proprietary dual-model hybrid architecture, focusing on core dexterous manipulation technology for embodied intelligence, and follows a technical route centered on human data-driven world models. Proceeds from this funding will be primarily used for technical R&D and commercial deployment in logistics and advanced manufacturing scenarios.

3. Leveraging the full industrial chain advantages of Wuhu’s national-level robotics industry cluster, Lingchu can quickly connect with more than 300 upstream and downstream supporting enterprises, efficiently serve the national market, and provide solid support for large-scale product deployment.

This article discloses the latest funding dynamics and industry development trends in the embodied intelligence sector, offering insights for brands pursuing intelligent transformation. Key takeaways:

1. Currently, manufacturing, logistics, consumer retail and other sectors have strong demand for high-precision, high-reliability intelligent dexterous manipulation solutions. Embodied intelligence has evolved from an early stage focused on hardware specification competition to a new competitive cycle driven by data, models and integrated software-hardware capabilities. Intelligent transformation of the physical industry is a clear growth trend for both consumer and industrial markets.

2. Instead of joining the race for higher degrees of freedom or humanoid appearance, Lingchu Intelligence focuses on a deployment route of "dexterous manipulation + human data + world model", and its solutions are already deployed in real scenarios such as logistics sorting and industrial production lines. This approach of focusing on real demand rather than hollow demos offers a valuable reference for brands exploring intelligent transformation.

3. The participation of multiple leading industry players in this funding round validates the feasibility of an industry-finance integration model that binds industrial resources and leverages industrial clusters for deployment. Brands can adopt this model to connect with industrial resources and accelerate their own intelligent transformation.

This article highlights new growth opportunities brought by the commercial deployment of embodied intelligence, offering insights for industry practitioners. Key takeaways:

1. Multiple sectors including precision manufacturing inspection, logistics sorting and retail services currently face urgent demand for deployable intelligent dexterous manipulation solutions. Commercial deployment of embodied intelligence is a clear growth market with abundant opportunities for entrepreneurship and business expansion.

2. Lingchu Intelligence’s commercialization path proves that focusing on real pain points in specific scenarios and delivering deployable solutions earns far more recognition from capital and industry players than piling up hardware specifications or building demo-only products. Practitioners can reference its "full-stack focused" deployment strategy: narrow down to niche scenarios and penetrate deeply to build market share.

3. Embodied intelligence now operates in an enabling environment featuring "national policy guidance + industrial scenario deployment + long-term capital support". Industry clusters such as Wuhu offer complete supply chain and scenario support, allowing practitioners to reduce deployment costs by leveraging cluster resources. Practitioners should also build a data iteration flywheel early to establish technical barriers and long-term competitive advantages.

This article outlines transformation opportunities and cooperation directions brought by embodied intelligence for manufacturing factories. Key takeaways:

1. Many non-standard work links in factories, such as 3C product precision assembly, inspection and logistics sorting, have unmet demand for intelligent upgrading. Lingchu Intelligence’s embodied intelligence technology enables dexterous operation in complex scenarios, helping factories achieve flexible intelligent manufacturing upgrades and improve production efficiency, representing a new direction for factories’ digital transformation.

2. Most of Lingchu’s new investors are leading manufacturing companies. In the future, Lingchu will launch in-depth cooperation with Topgroup and other investors in R&D and production of core hardware including humanoid robot actuators and dexterous hands, mass production of data collection gloves, and industrial production line data closed-loop systems. Factories with relevant supporting production capabilities can connect with these cooperation projects to tap new business opportunities.

3. For factories pursuing digital transformation, Lingchu’s full-stack data closed-loop approach offers a useful reference: collect real operation data to train and optimize models, and continuously improve production processes. Factories can also leverage resources from local robotics industry clusters to connect with upstream and downstream suppliers and reduce transformation costs.

This article discloses current development trends and core pain points in the embodied intelligence industry, offering insights for service providers in AI and intelligent manufacturing. Key takeaways:

1. In terms of industry trends, embodied intelligence has evolved from an early stage focused on本体 hardware specification competition to a new competitive cycle driven by data, models and integrated software-hardware capabilities. Focusing on dexterous manipulation and deployment in real industrial scenarios has become the mainstream development direction.

2. A core industry-wide pain point is the insufficient supply of high-quality physical interaction training data. Traditional teleoperation data collection solutions suffer from high costs and low efficiency, limiting industry growth. Lingchu Intelligence has developed a proprietary low-cost data collection solution that cuts costs to one-tenth of traditional methods, built a full-modal human operation data system, and formed an iteration flywheel of "data - model - deployment - re-collection", providing a mature reference solution for the industry.

3. Industrial clients’ core demand is deployable solutions that can actually go into operation, rather than technology that only exists in demos. Service providers should focus on real scenario demand in product R&D to gain recognition from the market and capital.

This article discloses the demand of embodied intelligence enterprises for industrial platforms and shares successful layout experience from local industrial platforms, offering reference for all types of industrial platforms. Key takeaways:

1. Embodied intelligence tech startups need comprehensive support covering full industrial chain supporting facilities, application scenarios and capital. Industrial platforms can make targeted layout around key links of the industrial chain, build a complete industrial ecosystem covering core components, complete machine manufacturing and system integration in advance, connect supply chain, scenario and capital resources for settled enterprises, and attract high-quality tech startups to locate in the cluster.

2. As China’s first national-level pilot for clustered development of the robotics industry, Wuhu has adopted a model where local state-owned investment platforms invest in and bind high-quality enterprises, open up the local cluster’s resource pool and scenario library, and connect enterprises with supporting facilities and deployment scenarios. This "capital investment + ecological enabling" operation model offers valuable reference for all types of industrial platforms.

3. As embodied intelligence enters a critical period of commercial deployment, platforms should avoid the trend of prioritizing technical specifications over actual deployment capabilities, focus on introducing enterprises with core technical barriers and proven deployment capabilities, build differentiated industrial ecosystems, and seize first-mover advantage in the industry.

This article discloses the latest industry trends and technical paradigm innovation in the embodied intelligence sector, offering high reference value for researchers in related fields. Key takeaways:

1. In terms of new industry trends, embodied intelligence has now won dual recognition from state-backed capital and the industry, forming a three-dimensional development pattern of "national policy guidance + industrial scenario deployment + long-term capital support". The deep participation of industrial capital creates a multiplier effect through industry-finance collaboration, accelerating the pace of technology deployment. A new technical paradigm of "dexterous manipulation + human data + world model" has emerged, which differs from the previous industry focus on degrees of freedom and humanoid appearance and prioritizes real industrial deployment.

2. A core new challenge facing the industry is the insufficient supply of high-quality physical interaction training data and the high cost of traditional collection solutions. Lingchu Intelligence’s low-cost data collection solution, dual-model hybrid collaborative architecture and data iteration flywheel provide a brand-new solution to this core bottleneck.

3. In terms of business model, Lingchu adopts an industry-finance collaboration route that binds technological innovation with industrial scenario resources, and leverages resources from industrial investors to accelerate deployment. This integrated software-hardware commercialization model provides a new research sample for embodied intelligence startups.

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 .

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近日,灵初智能正式完成新一轮过亿美元融资。本轮融资汇聚拓普集团、奇瑞控股旗下瑞丞基金、蓝思科技、三七互娱、芜湖市投控集团、复星创富等多家产业龙头企业与专业投资机构,老股东珠海科技产业集团持续超额追加投资。

继获 “国家队” 资本集中布局后,本轮融资再度汇聚多家实体产业龙头资本,标志着灵初智能的技术路线与商业价值已获得国资体系与产业端的双重权威认可,正式构建起 “国家政策引导 + 产业场景落地 + 资本长期护航” 的立体化发展格局。

依托芜湖作为全国首个国家级机器人产业集聚发展试点承载区的全产业链优势,灵初智能可快速对接上下游300余家配套企业;立足芜湖承东启西、连南接北的长三角综合交通枢纽与物流枢纽地位,灵初产品可高效辐射全国乃至全球市场。芜湖为产品规模化落地提供坚实保障。

图片

产业资本深度入局,产融协同释放乘数效应

本轮投资方均为各自赛道的头部产业主体与专业投资机构,将为灵初智能注入覆盖汽车制造、精密加工、现代物流等多领域的产业场景资源,全面加速技术成果的落地。

拓普集团是特斯拉全系车型核心一级供应商,同时深度布局人形机器人核心执行器研发与量产,拥有覆盖整车制造、精密加工的全链条智能制造产线与深厚工业场景积淀;奇瑞控股旗下瑞丞基金为聚焦新能源与智能网联汽车产业链的专业产业投资平台,深度绑定汽车制造全产业链生态资源,在先进制造、智能科技领域具备丰富的产业布局与投后赋能经验;蓝思科技是消费电子精密制造领域龙头企业,拥有大规模高端智能制造产线,在3C产品精密装配、检测等非标作业环节具备深厚的场景与技术积累,是推动行业智能制造升级的核心力量。

多家产业龙头与专业投资平台共同参与本轮投资,核心源于对灵初智能灵巧操作核心技术、数据飞轮壁垒,以及公司在物流、工业场景商业化能力的充分认可与长期看好。

深耕具身世界模型,夯实技术底座

本轮募集资金将重点投向两大核心方向:一是持续攻坚具身智能前沿技术,坚持人类数据路线,深化世界模型研发迭代;二是加速物流与先进制造场景的商业落地,推动技术成果向产业价值转化。

灵初智能始终聚焦具身大脑核心技术,自研构建Psi-R2操作策略模型与Psi-W0动作条件世界模型协同的双系统混合架构。Psi-R2以视觉、语言、本体状态为输入,完成长程任务拆解与连续动作规划,可端到端驱动机器人实现复杂灵巧作业;Psi-W0通过建模物理世界运行规律,对动作轨迹进行预判评估与优化修正,双模型协同显著提升了非结构化场景下的任务泛化能力与操作鲁棒性。

本轮融资后,公司核心投入将聚焦世界模型研发攻坚。为支撑世界模型迭代,公司将进一步扩大人类数据采集规模、优化数据管线,加快各地数采厂的布局与建设,夯实高质量数据供给底座,依托模型能力加速物流与先进制造场景的商业落地,推动技术成果向产业价值转化。

创始人与投资人寄语

灵初智能创始人、CEO王启斌表示:衷心感谢各位投资方的信任,本轮融资是对灵初技术路线与商业化实践的认可,我们将持续深耕,加速产品迭代与场景规模化落地,创造实实在在的产业价值。

拓普集团投资团队表示:作为深耕汽车零部件与智能制造领域的产业方,我们深知制造业对高精度、高可靠性灵巧操作能力的迫切需求。灵初智能在端到端WAM模型与灵巧手通用操作策略上构建了坚实的技术壁垒,自研数采设备有效突破了真实场景数据采集的成本与效率瓶颈。未来,拓普集团将充分发挥硬件研发、精密智能制造与工业场景的产业积淀,与灵初智能在执行器、灵巧手等核心硬件研发与生产、数采手套量产及工业产线数据闭环等多个维度展开深度协同,共同推进具身智能在制造业的规模化落地。我们相信,依托双方"硬件+算法+场景"的深度耦合,灵初智能将持续夯实"数据-模型-场景"迭代飞轮,打通从技术验证到工业应用的"最后一公里"。

瑞丞基金投资团队表示:我们下注灵初,表面看是投了一家2024年成立的年轻公司,实质是投了一条被很多人忽略的主线——灵巧操作 + 人类数据 + 世界模型。当行业还在卷自由度、卷人形外观时,灵初智能已经把重心锁在“小全栈”:以端到端PSI系列模型为大脑,以Psi-SynEngine具身数采引擎为血管,用极低成本把海量真实人类操作数据喂给机器人,让它在物流分拣、工业产线、零售场景里真正干起活来,作为投资方,我们最看重的不是融资节奏,而是它正在把“人类怎么动手”翻译成机器可继承的资产。Psi-R2登顶MolmoSpace全球榜单,Psi-W0做动作条件世界模型,SynGlove Air把采集成本压到传统遥操作约十分之一,ψ-SynRobot从模型走向量产,这条链路每往前一米,具身智能就离“能上岗”近一步,而不是停在Demo视频里,灵初智能用“极致灵巧操作”定义通用具身智能,我们愿意把它叫做--具身智能时代里,少有的既懂模型、又懂产线、更懂数据的人。

复星创富投资团队表示:具身智能正在从以本体硬件能力为核心的早期阶段,逐步进入由数据、模型与软硬协同能力共同驱动的新一轮竞争周期。灵初智能的突出价值,在于较早围绕下一代具身智能范式进行系统性布局:一方面,公司率先探索WAM+VLA技术路线,以动作世界模型增强机器人对物理环境的理解、长程规划与跨场景泛化能力;另一方面,围绕第一视角视频、手部3D轨迹、触觉及力反馈等建立了稀缺的人类全模态操作数据体系,并通过自研低成本数采方案持续扩大数据规模,逐步形成“数据—模型—部署—再采集”的迭代飞轮。同时,公司具备从灵巧手、操作策略到模型训练与数据闭环的全栈能力,叠加“产业商业化老兵 + 顶尖强化学习学者 + 新一代算法人才”的完整团队配置,使其兼具技术范式创新、工程落地与商业化拓展能力。我们看好灵初智能在具身智能由硬件驱动向“模型+数据+软硬一体化”驱动切换过程中建立先发优势,并成长为具身智能通用操作领域的重要平台型企业。

芜湖市投控集团投资团队表示:灵初智能聚焦具身智能灵巧操作核心赛道,依托自研WAM具身大模型,打造机器人感知、决策与执行一体化技术体系,致力于推动人工智能技术深度落地工业场景,是国内具身智能领域拥有硬核自主创新能力的科创企业之一。芜湖深耕机器人产业多年,已构建起覆盖核心零部件、整机制造到系统集成的完整生态圈,作为市级产业投资主力军,芜湖市投控集团始终紧扣产业链关键环节精准布局。此次携手灵初智能,正是基于对其技术路线与团队积淀的深度认同。下一步,我们将充分开放本地产业集群的“资源池”与“场景库”,为灵初精准对接供应链配套与示范应用场景,全力加速灵初的先进技术成果在芜湖生根、向市场转化。

珠海科技产业集团投资团队表示:高质量物理交互数据,是具身智能产业的核心生产要素。灵初智能走出了一条以人类原生多模态数据驱动灵巧智能的独特路线,自研的数采引擎与模型体系,为行业破解高质量训练数据供给难题提供了重要解法。这也是珠海科技产业集团多轮追加投资的核心因素。未来,珠海科技产业集团也将和灵初智能合作深度扎根珠海,依托珠海开放的机器人应用场景与产业生态,共同建设规模化具身智能数据采集创新平台,打通“数据—模型—落地”循环,为珠海打造具身智能创新生态贡献新力量。

截至目前,灵初智能已完成多轮融资,构建起涵盖国家级资本、地方国资、产业龙头、市场化机构的多元股东矩阵。未来,公司将持续以技术创新为核心,持续吸纳顶尖人才,不断突破具身智能灵巧操作的技术边界,推动人形机器人从实验室走向千行百业,为中国实体经济智能化转型提供坚实的技术支撑。

我们相信,灵巧操作将在不远的未来创造出极大的价值,我们将在这条路线上不断探索,坚持做难而正确的事情。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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FAQ回顾

灵初智能主要布局什么业务领域?

灵初智能是聚焦具身智能灵巧操作核心赛道的科创企业,自研Psi-R2操作策略模型与Psi-W0动作条件世界模型协同的双系统混合架构具身大脑,核心业务涵盖具身世界模型前沿技术研发,以及物流、先进制造等场景的具身智能商业落地。

灵初智能为什么能获得多方产业龙头的投资?

投资方高度认可灵初智能的灵巧操作核心技术、数据飞轮壁垒,以及其在物流、工业场景的商业化能力,同时看好其“人类数据+世界模型”的差异化技术路线,以及兼具技术范式创新、工程落地与商业化拓展的全栈能力。

当前具身智能行业的竞争核心是什么?

当前具身智能正从以本体硬件能力为核心的早期阶段,进入由数据、模型与软硬协同能力共同驱动的新一轮竞争周期,高质量人类全模态操作数据、成熟的世界模型技术、落地场景资源是行业核心竞争要素。

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