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竹马创新完成天使+融资:定义消费级空间相机 捕获具身数据

胡镤心 2026-05-25 10:57
胡镤心 2026/05/25 10:57

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本文核心披露了消费级空间相机初创公司竹马创新短时间内连续完成两轮融资的核心信息,整理核心干货如下:

1. 产品层面,解决了过去三维重建设备昂贵、操作门槛高的痛点,把3D高斯溅射、多传感器融合等专业技术封装进消费级产品,普通用户也能低门槛生成、编辑、分享三维空间内容,操作简单,实现所见即所扫、所扫即所得。

2. 价值层面,这款产品定位不止是消费内容创作工具,更是AI与机器人时代的空间数据采集基础设施,其采集的带语义信息和真实尺度的三维空间数据,可用于通用机器人模型训练,适配未来机器人产业发展的数据需求,赛道前景被多家头部资本看好。

本文能给布局AI硬件赛道的品牌商带来多维度干货参考,具体如下:

1. 消费趋势层面,物理世界与数字世界融合是不可逆的大趋势,AI与通用机器人发展带动了三维空间数据的广泛需求,普通用户未来也会成为数字空间底座的建设参与者,消费级AI智能硬件已经诞生全新的品类机会。

2. 产品研发层面,可参考竹马创新的路径:抓住3DGS技术突破、激光雷达成本断崖式下降的市场拐点切入空白赛道,瞄准传统三维重建门槛高、体验差的痛点,打造低门槛消费级产品,同时需要构建覆盖算法、传感器、算力、数据处理全链条的复合核心能力。

3. 资本认可度方面,该赛道已经获得商汤、鼎晖、峰瑞等多家头部资本加注,团队复合背景是资本判断项目的核心要素之一。

本文给做智能硬件的卖家挖掘了新赛道的增长机会,整理干货如下:

1. 增量市场机会,当前通用具身智能、机器人产业快速发展,已经催生了消费级空间相机这个全新的品类空白,过去三维重建仅服务专业场景,现在技术成熟成本下降,已经到了向消费市场渗透的拐点,属于早期未被充分满足的增量市场,竞争压力小。

2. 增长空间延伸,该品类不止面向C端个人用户的三维内容创作需求,还能面向AI企业、机器人企业的数据采集需求,具备to C零售加to B数据服务的双重增长空间,抗风险能力更强。

3. 可借鉴经验,切入新品类要抓住技术变革带来的成本下降拐点提前布局,更容易抢占新品类的定义权,中小卖家也可围绕空间三维内容创作的细分需求,挖掘细分场景的落地机会。

本文能给消费电子、硬件生产工厂带来多维度干货启示,具体如下:

1. 新商业机会,当前AI和机器人产业发展,已经诞生了消费级空间相机这个全新的产品需求,这类产品需要多传感器融合、软硬件一体化的大规模生产能力,对于掌握成熟消费电子生产经验的工厂来说,是全新的代工合作和联合开发机会。

2. 产业趋势启示,未来三维空间数据采集硬件的需求会随着具身智能产业发展持续增长,工厂可提前布局相关领域的生产能力,对接各类科技初创公司的量产需求,切入新兴赛道获得更多订单。

3. 数字化转型启示,这类新品类依托端云协同、大集群云端计算实现落地,工厂加快推进数字化生产、接入云端生产体系,能够更好适配新型智能硬件的生产要求,提升自身对接新兴赛道项目的竞争力。

本文给AI硬件、数据领域的服务商带来了行业新趋势和机会干货,具体如下:

1. 行业发展趋势,物理与数字世界融合、通用机器人产业落地,带动了空间数据采集基础设施的快速发展,消费级空间硬件成为新的赛道增长点,产业链相关配套服务的需求也会随之快速增长。

2. 客户核心痛点,过去三维空间数据采集依赖高价专业设备,操作链路复杂,普通用户和中小科技企业无法低成本获取高质量、带语义信息的三维空间数据,低门槛数据采集的痛点长期未被满足。

3. 业务机会方向,服务商可围绕消费级空间相机的产业链布局配套服务,比如三维数据加工、云端算力支持、产品生态搭建等方向,对接初创公司和C端用户的需求,同时也可为机器人企业提供标准化的空间数据采集配套服务,抓住产业升级带来的新业务机会。

本文能给智能硬件平台、AI数据平台等平台商带来干货参考,具体如下:

1. 用户和商家需求,当前AI和机器人产业快速发展,用户对三维内容创作、空间数据服务的需求持续增长,平台需要提前布局空间数据采集、三维智能硬件相关的品类,满足C端和B端用户的新需求,吸引新用户群体。

2. 优质招商机会,竹马创新作为全新消费级空间相机品类的初创项目,短时间内连续获得多家头部资本加注,核心团队既有产业背景又有前沿技术积累,产品方向清晰,是非常优质的早期招商标的,引入这类项目可以丰富平台品类,提升平台在AI硬件领域的影响力。

3. 风险规避参考,空间相机是算法、硬件、算力、数据全链条的系统工程,单点技术无法支撑产品落地,平台引入相关项目时,需要重点考察团队的复合技术能力和产业落地经验,避开只有单点技术没有全链条整合能力的项目。

本文给人工智能、机器人产业的研究者提供了产业最新动向的干货内容,具体如下:

1. 产业新动向,当前具身智能和通用机器人发展,机器人训练的数据结构正在发生结构性变化:过去行业依赖高成本、难以规模化的遥操作数据,未来第一视角人类视频、空间传感器数据将成为机器人模型训练的核心数据来源,这一变化直接带动了空间数据采集基础设施的发展,也催生了消费级空间相机这个全新的AI硬件品类。

2. 创新商业模式,该项目开创了“消费级硬件获客+大规模数据采集+B端数据服务”的新商业模式,既通过C端硬件获得直接收入,又依托C端用户采集的规模化空间数据,为AI和机器人企业提供数据服务,打开了长期增长空间。

3. 技术落地启示,前沿三维技术落地消费级市场,需要依托技术突破带来的成本下降拐点,拥有技术加产业复合背景的团队,更能推动前沿技术的规模化产品落地。

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Quick Summary

This article reveals the core news that Zhuma Innovation, a startup focused on consumer spatial cameras, has completed two consecutive rounds of financing in a short period of time. Key takeaways are as follows:

1. On the product side, it addresses the long-standing pain points of expensive 3D reconstruction equipment and high operational barriers. It encapsulates professional technologies including 3D Gaussian Splatting and multi-sensor fusion into a consumer-grade product, allowing ordinary users to generate, edit and share 3D spatial content with low barriers. Simple operation enables "what you see is what you scan, what you scan is what you get."

2. In terms of value proposition, this product is positioned not only as a consumer content creation tool, but also as a spatial data collection infrastructure for the AI and robotics era. The semantically tagged 3D spatial data collected at true scale can be used for general robot model training, meeting the data demands of the future robotics industry. The track has attracted interest from multiple leading venture capital firms.

This article provides multi-dimensional insights for brands布局ing the AI hardware track, as follows:

1. In terms of consumer trends, the integration of the physical and digital worlds is an irreversible mega-trend. The development of AI and general robots has driven widespread demand for 3D spatial data, and ordinary users will become participants in building the digital spatial infrastructure in the future, creating entirely new category opportunities for consumer-grade AI smart hardware.

2. In terms of product R&D, brands can learn from Zhuma Innovation's path: leverage the market inflection point brought by 3DGS technological breakthroughs and the plummeting cost of LiDAR to enter an untapped track, target the pain points of high barriers and poor user experience of traditional 3D reconstruction, and build low-threshold consumer-grade products, while building comprehensive core capabilities covering algorithms, sensors, computing power and data processing.

3. In terms of capital recognition, this track has already received backing from multiple leading investors including SenseTime, CDH Investments, and FreeS Fund. A team with cross-functional background is one of the core factors investors consider when evaluating projects.

This article identifies new growth opportunities in an emerging track for smart hardware sellers, with key takeaways below:

1. Incremental market opportunity: The rapid development of general embodied intelligence and the robotics industry has created a completely new untapped category of consumer spatial cameras. Once 3D reconstruction only served professional scenarios, but technological maturation and falling costs have brought it to an inflection point for penetration into the consumer market. This is an early, underserved incremental market with limited competition.

2. Extended growth room: This category not only caters to 3D content creation demand from individual consumers, but also meets data collection needs from AI and robotics companies, offering dual growth opportunities from B2C retail and B2B data services, with stronger risk resilience.

3. Actionable lessons: Entering a new category by positioning early at the cost-reduction inflection point brought by technological change makes it far easier to capture category definition power. Small and medium-sized sellers can also identify opportunities in niche use cases centered on spatial 3D content creation.

This article provides multi-dimensional insights for consumer electronics and hardware manufacturing factories, as follows:

1. New business opportunity: The development of AI and the robotics industry has generated entirely new product demand for consumer-grade spatial cameras. These products require large-scale manufacturing capabilities for multi-sensor fusion and integrated software-hardware systems, creating new opportunities for OEM cooperation and co-development for factories with mature consumer electronics production experience.

2. Industrial trend insight: Demand for 3D spatial data collection hardware will continue to grow along with the development of the embodied intelligence industry. Factories can build out relevant production capabilities in advance to serve the mass production demand of various tech startups, and enter the emerging track to secure more orders.

3. Digital transformation insight: This new category relies on edge-cloud collaboration and large-scale cloud computing for delivery. Accelerating digital production and connecting to cloud-based production systems allows factories to better meet the production requirements of new smart hardware, and improve their competitiveness to win projects in emerging tracks.

This article shares insights on new industry trends and opportunities for service providers in the AI hardware and data sectors, as follows:

1. Industry development trend: The fusion of the physical and digital worlds and the commercialization of general robots are driving rapid growth of spatial data collection infrastructure, making consumer spatial hardware a new growth track. Demand for supporting services along the industrial chain will also grow rapidly along with it.

2. Core customer pain points: Traditional 3D spatial data collection relies on high-priced professional equipment and has complex operational workflows, leaving ordinary users and small and medium-sized tech firms unable to acquire high-quality, semantically annotated 3D spatial data at low cost. The pain point of low-threshold data collection has long been unmet.

3. Business opportunity direction: Service providers can build supporting services around the consumer spatial camera industry chain, such as 3D data processing, cloud computing power support, and product ecosystem building, to serve the demand of startups and consumer users. They can also provide standardized spatial data collection supporting services for robotics companies, capturing new business opportunities brought by industrial upgrading.

This article provides actionable insights for platform operators including smart hardware platforms and AI data platforms, as follows:

1. User and merchant demand: Against the backdrop of rapid development of AI and the robotics industry, user demand for 3D content creation and spatial data services continues to grow. Platforms need to布局 categories related to spatial data collection and 3D smart hardware in advance to meet new demand from both consumer and enterprise users, and attract new user groups.

2. High-quality merchant sourcing opportunity: As a startup building an entirely new category of consumer spatial cameras, Zhuma Innovation has secured backing from multiple leading venture capital firms in a short period of time. Its core team combines industry experience and cutting-edge technical expertise, with a clear product direction, making it a very high-quality early-stage sourcing target. Onboarding such projects can enrich a platform's category mix and boost its influence in the AI hardware space.

3. Risk mitigation reference: Spatial cameras are a full-stack systems engineering project integrating algorithms, hardware, computing power and data, and single-point technology cannot support commercial delivery. When onboarding relevant projects, platforms should prioritize evaluating teams' cross-functional technical capabilities and commercial execution experience, and avoid projects that only have single-point technology without full-stack integration capabilities.

This article shares the latest industry developments for researchers focused on artificial intelligence and the robotics industry, as follows:

1. New industry trend: With the development of embodied intelligence and general robots, the data structure for robot training is undergoing a structural shift: the industry has long relied on high-cost, hard-to-scale teleoperation data, but in the future, first-person human video and spatial sensor data will become the core data source for robot model training. This shift has directly driven the development of spatial data collection infrastructure, and spawned the entirely new AI hardware category of consumer spatial cameras.

2. Innovative business model: This project has pioneered a new business model of "consumer hardware for customer acquisition + large-scale data collection + B2B data services". It generates direct revenue from C-end hardware, while leveraging the large-scale spatial data collected by C-end users to provide data services for AI and robotics companies, unlocking long-term growth potential.

3. Insight on technology commercialization: Bringing cutting-edge 3D technology to the consumer market relies on the cost-reduction inflection point brought by technological breakthrough. Teams with combined technical and industry backgrounds are far more likely to drive large-scale commercialization of cutting-edge technology.

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】距上一轮融资仅过去一个月,竹马创新再次获得资本加注。近日,消费级空间相机公司竹马创新宣布完成天使+轮融资,本轮由商汤国香资本领投,鼎晖VGC、峰瑞资本跟投,深渡资本担任后续独家财务顾问。一个月前,竹马创新刚完成由峰瑞资本和洪泰基金投资的数千万元天使轮融资。

竹马创新成立于2025年11月,是一家以“Camera+ AI”为核心方向的空间智能公司,创始人张吉来自刚在港股上市的空间智能第一股群核科技,曾任集团副总裁。公司希望定义一种新的AI硬件品类——空间相机:从捕获空间到训练世界,不仅是消费级内容创作工具,更是面向AI与机器人时代的真实世界三维数据入口。

三维重建曾长期停留在测绘、工业、影视等窄场景,设备昂贵、链路复杂、依赖专业人员和高性能计算机,普通用户和轻专业用户很难真正使用。竹马创新通过首款产品Pebble,把3D Gaussian Splatting(3DGS)、多传感器融合、端云协同和AI原生交互封装进一台消费级空间相机中,让用户像拍照、拍视频一样捕获真实三维世界。它不是传统3D扫描仪,而是让用户“所见即所扫、所扫即所得”,可以低门槛生成、编辑、分享可沉浸浏览的三维空间,并进一步把真实世界转化为可计算、可理解、可复用的空间数据。

过去一段时间,机器人行业围绕VLA、遥操作数据展开了大量探索。越来越多观点认为,机器人真正走向通用能力,不能只依靠高成本、难以规模化的遥操作,数据采集重心可能会发生结构性变化:遥操作数据占比下降,第一视角人类视频、空间传感器数据、真实环境中的连续行为数据,将成为机器人模型训练的新“主食”。

竹马创新的空间相机采集的正是带有第一视角、三维结构、语义信息和真实尺度的Sensorized Human Data。这类数据可以用于构建更真实的空间世界模型,帮助机器人理解环境布局、物体关系、可通行区域和任务上下文,也可以反哺具身智能仿真、机器人实时空间感知和模型训练。从这个意义上说,竹马创新正在定义机器人时代的数据采集基础设施。

空间相机不是单点算法或单个硬件产品的竞争,而是算法、传感器、云端算力、数据处理、产品体验和生态闭环的系统工程。竹马创新的核心壁垒之一,来自团队对三维数据、空间智能、世界模型和大集群云端计算的复合Know-how。

创始人张吉长期处在三维图形、空间设计、云端渲染和空间数据商业化的第一线,深度参与过大规模空间数据处理、云端渲染平台建设和空间智能产品落地,对“如何把复杂三维技术变成可规模化产品”有着稀缺的产业理解。除创始人外,核心团队还包括来自国际领先的3DGS、三维重建、仿真图形实验室的南京大学长聘副教授过洁教授、千万台销量的2C消费电子爆品负责人、大集群云计算与云渲染技术专家、多传感融合软硬件工程化专家等。正是这样的团队构成,使竹马创新能够从消费级空间相机切入,并进一步连接世界模型与机器人数据基础设施。

商汤国香资本合伙人余俊表示:“物理世界的可计算、可理解、可编辑是未来应用发展的基础和底座,每一个个体也都将成为这个基座的贡献者和使用者。张总的团队特别适合为用户提供扎实的可入手和可上手的极致产品方案,团队对早期用户群也有特别深刻理解和熟知。期待竹马成为感知和计算‘4D世界’的Insta360。”

鼎晖VGC副总裁牟刘杉表示:“物理与数字世界的融合是不可逆的趋势,3DGS相机正是连接两者的桥梁。当前,3DGS技术突破与激光雷达成本断崖式下降带来了3DGS相机高速发展的市场拐点,竹马团队凭借敏锐的眼光和深厚的积累在正确的时间以精准的产品定义切入市场,未来还可向上生长为具身智能的数据基础设施并有着更多可能性。我们期待与竹马团队一起,见证真实世界被重新捕获和理解的未来。”

峰瑞资本合伙人马睿表示:“祝贺公司在短短一个月时间里完成新融资,峰瑞持续追加是因为非常看好创始人张吉和团队执行力,期待竹马拿出消费级空间相机,并成为世界模型的新数据入口。”

文章来源:亿邦动力

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