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200亿!大湾区首个具身智能独角兽诞生

胡镤心 2026-06-29 10:08
胡镤心 2026/06/29 10:08

邦小白快读

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本文核心信息是粤港澳大湾区诞生了首个估值超200亿元的具身智能独角兽企业智平方,该企业刚完成总额近50亿元的新融资,行业正处于高速增长期,核心干货信息如下

1. 核心发展信息:智平方2023年成立,创始人兼具AI研究和智能硬件量产经验,企业发展速度极快,从估值百亿到两百亿只用了不到五个月,本次投资方阵容强大,覆盖国家级战略资本、区域平台资本、多个领域产业龙头以及各类金融投资机构,多家特斯拉核心供应链企业也入局绑定。

2. 技术与落地干货:智平方研发出全球首个类脑式具身智能系统,性能提升明显,动作抖动降低75%以上,平均功耗仅0.4W,相关技术已经开源开放,同时已经在多个行业实现批量落地,年产能突破2000台,即将扩建数万台级产能。

3. 行业整体情况:国内具身智能市场2026年将突破万亿,融资活跃的同时行业洗牌已经开启,没有量产和场景的概念企业会被淘汰。

本文针对具身智能行业发展,给品牌商带来多方面干货参考,具体如下

1. 消费与产业趋势:当前具身智能已经从概念炫技走向落地交付,被纳入国家十五五前瞻布局,市场规模即将突破万亿元,处于高速增长期,智能化是各个行业升级的明确方向,新零售等C端场景已经验证了具身智能的落地可行性。

2. 产品研发方向:下一代具身智能不需要盲目堆砌算力和数据,而是要走高效可持续的技术路线,品牌商做智能化升级可以参考这个方向,避免投入过多资源却得不到实际收益。

3. 合作与发展机会:多个领域的产业龙头已经通过资本绑定的方式,和头部具身智能企业合作,开放自身核心产线和场景,实现协同进化,品牌商可以依托自身的场景和资源,和头部技术企业合作,提前布局智能化,获得新增长曲线。

当前具身智能赛道处于高速增长期,给卖家带来明确的机会和风险提示,干货总结如下

1. 赛道增长明确:政策层面具身智能已经被纳入十五五前瞻布局,市场层面2025年市场规模达到9150亿元,同比增长20.4%,2026年将突破万亿元,一年时间行业融资超960亿元,是公认的高增长蓝海赛道。

2. 市场机会点:当前具身智能已经在多个领域实现批量落地,新零售领域模块化服务空间已经在全国十多个省市运营,未来三年计划落地1000个,卖家可以对接头部企业,参与场景落地分羹,也可以围绕生产端智能化需求,给工厂提供相关配套服务。

3. 风险提示:行业洗牌已经正式开始,资本会向头部企业集中,只有概念Demo没有量产、没有真实落地场景的企业会被挤出市场,卖家要避开这类概念性项目,优先选择有技术、有交付的头部企业合作。

具身智能的发展给工厂带来了智能化升级的新机会,也带来了新的增长可能,干货总结如下

1. 生产端升级需求明确:当前生产力型具身机器人已经可以实现常态化批量交付,头部企业已经建成半自动化产线,年产能突破2000台,很快将启动数万台产能的新产线建设,可以满足半导体显示、生物制药等多个领域工厂的自动化生产需求,帮助工厂提升生产效率、降低失误率。

2. 商业合作机会:当前多个产业龙头已经依托自身产线、场景资源,和头部具身智能企业深度绑定,共同布局机器人赛道,有相关资源的工厂可以对接头部企业,参与供应链协同,开辟新的增长曲线,切入热门的机器人赛道。

3. 数字化转型启示:具身智能行业已经从概念走向交付,工厂推进智能化转型,不要盲目选择只有概念没有落地的技术方案,要优先选择经过场景交付验证的技术,才能真正实现升级,拿到实际收益。

结合本文的行业信息,给服务商的干货总结如下

1. 行业发展趋势清晰:当前具身智能行业已经从早期的炫技阶段进入交付落地阶段,市场规模即将突破万亿元,政策纳入十五五前瞻布局,一年行业融资超960亿元,处于高速增长期,同时行业洗牌加速,资本、资源都在向头部企业集中,赛道风口明确。

2. 市场客户痛点明确:现在很多传统行业企业都有智能化升级的需求,但市场上很多玩家只有概念没有成熟的落地方案,无法满足企业的实际升级需求,市场缺口很大。

3. 解决方案相关机会:头部具身智能企业已经开放了一站式开源社区,打通了数据到评测的完整链路,降低了全行业的开发门槛,服务商可以结合自身对垂直行业的理解,依托头部成熟的开源技术,给不同行业客户定制落地解决方案,抢占智能化升级的服务市场。

本文给平台商布局具身智能赛道的干货总结如下

1. 行业对平台的需求明确:全行业做具身智能开发,需要能够打通数据、训练、模型、评测全链路的开放平台,降低开发门槛,头部企业已经推出了相关开源开放平台,满足这一需求,平台商可以参考这类平台的搭建思路,构建自身的生态服务能力。

2. 平台招商与运营方向:当前行业快速发展,平台招商可以重点倾斜有自研技术、自有量产出线、有真实落地场景的头部具身智能企业,同时吸引各类产业方、投资方入驻,构建完整的具身智能产业生态,享受赛道增长的红利,具身智能已经纳入十五五前瞻,政策支持力度大,提前布局可以抢占先机。

3. 风向规避要点:行业洗牌已经开启,大量只有Demo没有量产、只有概念没有场景的企业会被出清,平台引入合作的时候要注意筛选,避开这类概念性企业,规避行业泡沫带来的风险,保障平台生态的健康发展。

本文给出了具身智能行业最新的一手信息,对研究者的研究参考价值很高,干货总结如下

1. 产业最新动向:当前国内具身智能行业融资井喷,2025年7月到2026年6月融资事件超500起,总额超960亿元,诞生了粤港澳大湾区首个估值超200亿的具身智能独角兽,技术上已经出现类脑架构的全球首创成果,行业已经从概念阶段进入批量交付阶段,头部企业已经实现多行业批量落地,产业进入新的发展阶段。

2. 行业新问题与新判断:行业已经开启洗牌,资本向头部集中,技术向实用收敛,场景向交付验证,缺乏核心竞争力的中小玩家会被出清,同时行业当前存在盲目堆砌算力数据的路线问题,头部企业提出了高效可持续的发展新路线。

3. 创新商业模式:头部玩家形成了“技术落地迭代-场景验证-反向优化技术”的正向循环,同时采取开源技术开放+自有产线量产结合的模式,和多产业方深度绑定协同进化,是非常值得研究的新型产业商业模式。

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Quick Summary

This article leads with the key news that Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has welcomed its first embodied intelligence unicorn, Square Intelligence, with a valuation exceeding 20 billion yuan. The company just closed a new funding round totaling nearly 5 billion yuan, entering a high-growth phase for the entire industry. Key takeaways are as follows:

1. Core development updates: Founded in 2023, Square Intelligence was founded by a leader with experience in both AI research and mass production of smart hardware, enabling extremely rapid growth. It took less than five months for the company’s valuation to climb from 10 billion yuan to 20 billion yuan. The latest funding round boasts a strong lineup of investors, covering national strategic capital, regional platform capital, industry leaders across multiple sectors, and a wide range of financial investment institutions. Several core Tesla supply chain companies also participated to lock in strategic partnerships.

2. Technology and commercialization insights: Square Intelligence has developed the world’s first brain-inspired embodied intelligence system, which delivers dramatic performance improvements: motion jitter reduced by more than 75% and an average power consumption of only 0.4W. Its core technologies have been open-sourced, and the company has already achieved mass commercial deployment across multiple industries. It currently has an annual production capacity of over 2,000 units, and will soon expand capacity to tens of thousands of units annually.

3. Industry outlook: China’s embodied intelligence market is projected to exceed 1 trillion yuan by 2026. While fundraising activity remains robust, industry consolidation has already begun, and concept-stage companies without mass production capabilities or real-world deployment will be eliminated.

This article provides key insights for brand operators on the development of the embodied intelligence industry, as outlined below:

1. Consumer and industry trends: Embodied intelligence has moved beyond hype to actual commercial delivery, and has been included in China’s 15th Five-Year Plan forward-looking layout. The market is on track to exceed 1 trillion yuan, entering a period of rapid growth, as intelligence becomes a clear upgrading direction for all sectors. C-end scenarios such as new retail have already verified the feasibility of embodied intelligence deployment.

2. Product R&D direction: Next-generation embodied intelligence does not require blind stacking of computing power and data. Instead, an efficient and sustainable technology route is the optimal path. Brands pursuing intelligent upgrading can follow this direction to avoid wasting resources without delivering practical results.

3. Cooperation and growth opportunities: Industry leaders across multiple sectors have already formed capital-backed partnerships with leading embodied intelligence companies, opening their core production lines and deployment scenarios to achieve co-evolution. Brands can leverage their own scenario resources and partner with leading technology players to lay out intelligent transformation early and unlock new growth curves.

The fast-growing embodied intelligence track brings clear opportunities and risk alerts for sellers, summarized as follows:

1. Clear growth trajectory: Embodied intelligence has been included in the 15th Five-Year Plan forward-looking layout with policy support. On the market side, the industry will reach 915 billion yuan in 2025, a year-on-year increase of 20.4%, and exceed 1 trillion yuan in 2026. Total industry fundraising exceeded 96 billion yuan in the past 12 months, making it a widely recognized high-growth blue-ocean track.

2. Key market opportunities: Embodied intelligence has already achieved mass deployment across multiple sectors. Modular service spaces for new retail are already operating in more than 10 Chinese provinces and cities, with plans to roll out 1,000 locations in the next three years. Sellers can partner with leading industry players to get a share of scenario deployment opportunities, or provide supporting services for factories pursuing intelligent production upgrading.

3. Risk alerts: Industry consolidation has officially begun, and capital is increasingly concentrated in leading players. Companies with only concept demos, no mass production capacity, and no real-world deployment scenarios will be pushed out of the market. Sellers should avoid such concept-driven projects and prioritize partnerships with leading technology players that have proven technology and delivery capabilities.

The growth of embodied intelligence brings new opportunities for factories to upgrade their intelligence and unlock new growth, with key takeaways as follows:

1. Clear demand for production upgrading: Productivity-focused embodied robots are already capable of standardized mass delivery. Leading industry players have built semi-automated production lines with an annual output of over 2,000 units, and will soon launch construction of new production lines with capacity for tens of thousands of units annually. This can meet the automated production demand of factories in sectors including semiconductor display and biopharmaceuticals, helping factories improve production efficiency and reduce error rates.

2. Business cooperation opportunities: Multiple industry leaders have already formed deep capital-backed partnerships with leading embodied intelligence companies, leveraging their own production lines and scenario resources to jointly lay out the robotics track. Factories with relevant resources can partner with leading players to join supply chain collaboration, open up new growth curves, and enter the booming robotics sector.

3. Insights for digital transformation: The embodied intelligence industry has moved beyond hype to delivery. When advancing intelligent transformation, factories should not blindly adopt concept-only technology solutions without proven deployment. Prioritizing technologies verified by real-world scenario delivery is the only way to achieve actual upgrading and tangible business returns.

Combining the latest industry information in this article, key takeaways for service providers are as follows:

1. Clear industry development trends: The embodied intelligence industry has moved beyond the early hype stage to the delivery and deployment phase. The market is on track to exceed 1 trillion yuan, the sector has been included in the 15th Five-Year Plan forward-looking layout, and total fundraising exceeded 96 billion yuan in the past year, putting the industry in a period of rapid growth. At the same time, industry consolidation is accelerating, with capital and resources increasingly concentrating in leading players, making the sector’s growth trajectory clear.

2. Clear customer pain points: Many traditional industry enterprises currently have demand for intelligent upgrading, but most market players only have unproven concepts rather than mature deployment solutions, leaving a large unmet market gap.

3. Opportunities from solution development: Leading embodied intelligence companies have already opened one-stop open source communities, building out a complete end-to-end link from data to evaluation, lowering development barriers for the entire industry. Service providers can combine their own deep understanding of vertical industries, leverage the proven mature open source technology from leading players, build customized deployment solutions for clients across different sectors, and capture a share of the fast-growing intelligent upgrading service market.

This article summarizes key insights for platform operators looking to enter the embodied intelligence track as follows:

1. Clear industry demand for platforms: Embodied intelligence developers across the industry need open platforms that can connect the full end-to-end workflow of data, training, modeling and evaluation to lower development barriers. Leading players have already launched such open source open platforms to meet this demand, and platform operators can draw on this development approach to build their own ecosystem service capabilities.

2. Investment attraction and operation direction: Amid the industry’s rapid growth, platforms should prioritize attracting leading embodied intelligence players with independent R&D, in-house mass production lines, and proven real-world deployment scenarios, while attracting various industry players and investors to settle, build a complete embodied intelligence industry ecosystem, and capture the dividends of the track’s growth. With embodied intelligence included in the 15th Five-Year Plan forward-looking layout and strong policy support, early layout allows players to seize first-mover advantage.

3. Risk mitigation: Industry consolidation has already begun, and a large number of companies with only demos (no mass production) and only concepts (no real deployment) will be cleared out of the market. Platforms should screen potential partners carefully to avoid these concept-driven companies, mitigate risks from industry bubbles, and ensure the healthy development of the platform ecosystem.

This article provides the latest first-hand information on the embodied intelligence industry, with high research value for academic and industry researchers. Key takeaways are as follows:

1. Latest industry developments: China’s embodied intelligence industry is seeing a fundraising boom: between July 2025 and June 2026, there were more than 500 financing events with total volume exceeding 96 billion yuan. The GBA has produced its first embodied intelligence unicorn with a valuation exceeding 20 billion yuan, and a world-first brain-inspired architecture has been developed. The industry has moved from the concept stage to mass delivery, with leading players already achieving mass deployment across multiple sectors, entering a new phase of industrial development.

2. New industry issues and judgments: Industry consolidation has begun, with capital concentrating in leading players, technology converging on practical applications, and scenarios requiring delivery verification. Small and mid-sized players lacking core competitiveness will be cleared out. The industry also currently faces the problem of blind overstacking of computing power and data, and leading players have proposed a new efficient and sustainable development route.

3. Innovative business model: Leading players have formed a positive cycle of "technology deployment iteration → scenario validation → reverse technology optimization", and adopt a combined model of open source technology plus in-house mass production, forming deep binding and co-evolution with multiple industry players. This represents a new industrial business model well worth further study.

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】6月29日,具身智能企业智平方宣布完成一系列新融资,融资总额近50亿元人民币(约7亿美金),估值飙升至超200亿元,成为粤港澳大湾区首个估值正式突破200亿的具身智能企业。

本轮融资的最大看点在于投资方阵容的广度与厚度——国家队、部委、大湾区、地方资金、险资、券商、产业方、财投集体入局。国家中小企业体系基金、中国文化产业体系基金等国家级战略资本率先入局。广东省人工智能基金、深创投、南山战新投、粤港澳大湾区系列基金等区域重点平台持续加码。

产业生态方面,中国生物制药、康龙化成、茅台集团、招商局资本、五洲新春、万丰控股、中贝通信等多家产业龙头集体入局。加上已投资的百度战投、中国中车等,智平方的产业资本已覆盖生物制药、科技服务、高端制造、新零售等核心领域。

更值得关注的是,多家特斯拉核心生态链企业同步低调入局。这批与特斯拉在车规级供应链中有过深度协同的产业方,将智平方视作其在机器人赛道中“最像特斯拉”的战略锚点。除资本赋能外,各产业方同步开放了最核心的制药产线、消费场景与高端制造工艺,与智平方深度绑定、协同进化。此外,多家保险公司、中金资本、中信建投、洪泰资本、金沙江联合资本、博华资本等也深度参与。达晨财智、敦鸿资产等老股东持续追加。

这笔资金将用于机器人大脑的迭代升级与规模化量产。

智平方成立于2023年,创始人郭彦东是美国普渡大学博士,国家级创新领军人才。创业前,他曾在微软西雅图总部担任研究员,回国后担任小鹏汽车和OPPO的首席科学家与研发高管,横跨AI研究与智能硬件量产的经验。

智平方成立三个月便完成天使轮融资。2025年进入融资爆发期,半年内连续完成7轮数亿级融资。2026年2月,B轮系列融资超10亿元,估值突破百亿。从百亿到两百亿,用了不到五个月。

智平方是国内最早系统性研发端到端VLA(视觉-语言-动作)具身大模型的企业之一。过去三年,从端到端VLA,到深度融合世界模型的Video2Act,再到今年发布的类脑VLA模型NeuroVLA,持续围绕机器人大脑进行系统性创新。

2026年6月,在北京智源大会上,郭彦东正式推出全球首个类脑式具身智能系统NeuroVLA。该系统仿生人脑“皮层—小脑—脊髓”三层架构:皮层负责语义理解与任务规划,小脑保障动作协调与动态修正,脊髓负责毫秒级运动执行与安全反射。实测显示,该架构使机器人动作抖动降低75%以上,遇障20毫秒内触发反射性撤回动作。仿脊髓执行层采用脉冲神经网络,平均功耗仅约0.4W。

NeuroVLA已在智平方开源社区AlphaBrain Platform面向全行业开放。今年4月,公司发布全球首个一站式具身智能模型开源社区AlphaBrain Platform,打通了“数据—训练—模型—评测”的完整链路。

在刚刚结束的夏季达沃斯论坛上,郭彦东作为中国具身人形机器人领域唯一受邀演讲嘉宾。他指出,下一代机器人大脑不应只是算力和数据的竞赛,而需探索更高效、可持续的路径。“如果所有人都沿着同样的大模型路线往前走,我们需要10倍的数据、10倍的电力。”*他说。摩根士丹利连续多期全球机器人行业研究报告,将智平方列为机器人“大脑”方向代表企业之一。

具身智能行业正在从“炫技”走向“交付”,智平方的差异化在于,它同时拥有自研大模型、自有产线和真实交付场景。公司已建成国内最早实现常态化批量交付的生产力型机器人半自动化产线,年产能突破2000台。2026年下半年,将启动数万台产能的新产线建设。

在半导体显示领域,智平方完成从单点验证到批量落地的跨越,率先落地与惠科的3年1000台合作。在生物制药领域,已在华熙生物产线完成部署,今年新增多家企业合作。在新零售领域,模块化具身智能服务空间“智魔方”已在全国十余个省市常态化运营,机器人日均工作超10小时,每天自主完成数百杯咖啡和冰淇淋制作,零失误。未来三年计划在全国落地1000个智魔方。郭彦东在达沃斯将其总结为:“因为技术好,所以落地多;因为落地多,所以技术好。”

2025年,中国具身智能市场规模约9150亿元,同比增长20.4%,分析师预测2026年将突破万亿元。2026年上半年,国内具身智能及机器人领域共发生288起融资事件,披露融资额超460亿元。把统计周期拉长到2025年7月至2026年6月,这个数字是503起融资、超960亿元。具身智能已被纳入“十五五”前瞻布局。

融资井喷的另一面,是行业洗牌的加速,在刚刚结束的夏季达沃斯论坛上,郭彦东对此有清醒判断:“行业洗牌已经开始了。”他的判断逻辑是:资本会向头部集中,技术会向实用收敛,场景会向交付验证。那些只有Demo没有量产、只有概念没有场景的公司,正在被挤出牌桌。

文章来源:亿邦动力

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