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瓦博科技完成新一轮融资 要为AI补上“人类意图层”

作者:簪竹 文章来源:投中网

2026-07-31 09:00

作者:簪竹 文章来源:投中网

2026-07-31 09:00

邦小白快读

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这篇文章核心介绍了非侵入式脑机接口创业公司瓦博科技的最新动态与核心技术方向,普通读者可从中了解脑机接口领域的最新落地干货进展。

1. 核心进展:瓦博科技刚完成由淡马锡旗下祥峰投资等多家机构共同参与的天使轮融资,已经完成了非侵入式脑机控制的真实场景演示,可通过一套极简佩戴的神经终端控制无人机、机械臂、机器狗等不同设备,无需涂抹导电膏,真正让脑机接口走出了实验室场景的限制。

2. 核心技术:瓦博的核心方向是补上AI进入物理世界缺失的“人类意图层”,打造神经意图模型,解决当前AI无法理解人类物理动作真实目的的痛点,目前已经打通了从神经采集到物理控制的完整链路,完成了和昇腾AI处理器的兼容认证,还推进了核心采集链路的国产化。

3. 未来布局:瓦博将落地成都上海双总部,汇聚跨学科科研力量,通过合规的数据飞轮迭代模型,目标是实现自然的人机共融,开启全新的脑智时代。

瓦博科技的发展为品牌商展示了人机交互领域的最新消费趋势与产品研发方向,可参考的干货内容如下。

1. 消费趋势:下一代人机交互已经从软件端的语言理解往物理端的意图理解发展,用户对人机交互的自然度要求越来越高,脑机交互已经从实验室走向商业化落地前夕,是未来智能硬件领域的核心增量赛道,提前布局的品牌可以抢占先机。

2. 产品研发方向:当前智能硬件、服务机器人等AI相关产品,在真实物理场景的核心痛点就是无法准确识别用户的真实动作意图,导致交互体验差,品牌研发下一代产品时,可以通过对接成熟的神经意图层方案补全这个短板,大幅提升产品竞争力。

3. 产业合作机会:瓦博已经推出神经意图数据平台,完成全链路技术打通与国产化适配,品牌商可以对接瓦博开展合作,共同开发落地新一代人机交互产品,打开新的市场空间。

脑机接口赛道已经进入商业化落地早期,相关领域的卖家可以从中挖掘新机会,核心干货总结如下。

1. 市场机会:当前AI已经解决了视觉、语言识别的问题,但在物理场景落地中,人类意图理解是明确的空白市场,神经意图层是下一代人机交互的核心基础设施,面向C端的智能可穿戴、面向B端的工业控制、服务机器人等领域都会产生大量新需求,卖家可以围绕细分场景挖掘机会。

2. 可借鉴的商业模式:瓦博采用“用户获得价值-合规授权数据-模型迭代-产品体验提升”的正向数据飞轮模式,解决了新技术落地的数据积累问题,这个模式值得新技术领域的创业者和卖家参考。

3. 风险提示:目前该赛道仍处于早期发展阶段,技术落地和市场教育都需要较长周期,卖家切入时需要找准细分场景,避免盲目大规模投入,同时要注意神经数据使用的合规要求。

瓦博科技的发展给硬件生产工厂带来了新的需求与机会,相关干货总结如下。

1. 产品生产设计需求:非侵入式脑机接口终端追求极简佩戴、高稳定性,对电极、AFE模拟前端、采集板卡、终端结构设计等零部件和整机生产都提出了新的要求,工厂可以提前研发对应符合技术标准的产能,适配行业发展需求。

2. 商业合作机会:瓦博正在推进核心采集链路的国产化,需要和上游供应链伙伴协同研发核心部件,国内硬件工厂可以对接瓦博等脑机接口创业企业,切入下一代人机交互的核心供应链,获得新的业绩增长空间,摆脱传统硬件的价格竞争。

3. 数字化转型启示:工厂可以参考瓦博全链路布局的思路,从核心零部件研发生产到下游场景适配全链条布局能力,打造自身的技术壁垒,抓住前沿新技术赛道的发展机会,推进自身的数字化升级。

脑机接口产业的发展给各类服务商带来了新的行业趋势与业务机会,核心干货总结如下。

1. 行业发展趋势:脑机接口已经从实验室学术研究阶段转向商业化工程落地阶段,核心发展方向从追求实验室精度指标转向真实场景的应用落地,神经意图模型作为AI进入物理世界的核心基础设施,未来市场空间非常广阔,相关配套服务需求会快速增长。

2. 客户核心痛点:当前AI服务商、机器人服务商的核心痛点是,现有AI技术无法理解人类在物理任务中的真实意图,导致产品交互体验差,落地受阻,迫切需要新的技术方案补全短板。

3. 业务机会与解决方案:To B服务商可以对接瓦博的神经意图数据平台与全栈技术,将神经意图层融入自身产品方案,提升产品竞争力;也可以为脑机接口企业提供数据治理合规、供应链配套、产学研对接等配套服务,开拓新的客户群体,打造新的增长曲线。

瓦博科技的落地发展给各类产业平台、AI平台带来了很多值得参考的干货,总结如下。

1. 企业对平台的需求:前沿硬科技脑机接口企业,需要对接产业政策、产学研资源、研发配套空间,瓦博入驻上海脑智天地,说明细分前沿产业平台需要针对性配套研发、供应链资源,才能吸引优质企业入驻。

2. 平台招商与运营方向:脑机接口、人机交互是未来的核心前沿赛道,具备全栈工程能力的创业企业是优质的招商对象,这类企业已经获得一线资本投资,能够带动整个细分赛道的产业聚集,平台可以重点对接这类企业,打造自身的特色产业标签。

3. 风向规避:前沿硬科技落地周期长,平台引入这类企业时需要配套长期扶持政策,匹配企业发展节奏,避免短期考核要求过高;同时要重点关注神经数据采集使用的合规问题,督促企业做好数据授权与合规治理,规避政策风险。

瓦博科技的创业探索代表了脑机接口产业的最新动向,为相关领域研究者提供了很多值得研究的干货内容,总结如下。

1. 产业新动向:当前脑机接口产业发展方向已经发生变化,不再单纯追求论文指标、通道数量和实验室精度,转向工程化落地,核心方向转向构建可商业化落地的神经意图模型,补上AI进入物理世界缺失的意图层,这是产业发展的全新方向。

2. 值得关注的新问题:真实场景下的神经意图识别方法,如何在用户合规授权下积累带完整任务标签的神经数据,如何构建可跨终端、跨场景复用的意图模型,如何搭建数据驱动的模型迭代飞轮,这些都是产业发展带来的新研究问题。

3. 商业模式参考:瓦博打造的“终端获客-授权数据积累-模型迭代-产品升级”正向飞轮商业模式,兼顾了数据合规与模型快速迭代,同时成都上海双总部整合研发与供应链资源的布局方式,都为脑机接口领域的产业研究提供了可参考的典型案例。

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This article outlines the latest updates and core technology focus of Wabo Technology, a startup working on non-invasive brain-computer interfaces (BCI), helping general readers understand the latest practical progress of real-world BCI deployment.

1. Key Milestones: Wabo recently closed its angel round of funding led by Vertex Ventures, an affiliate of Temasek, with participation from multiple other investors. The company has demonstrated real-world non-invasive BCI control: users can operate drones, robotic arms, quadruped robots and other devices through a simple, easy-to-wear neural terminal, no conductive gel required. This marks the first time BCI technology has truly moved beyond controlled laboratory settings.

2. Core Technology: Wabo’s core mission is to fill the missing "human intent layer" that enables AI to interact with the physical world. The company is building a neural intent model to address the key pain point of current AI systems: their inability to understand the true purpose behind human physical actions. Wabo has already built a complete end-to-end pipeline from neural signal acquisition to physical device control, completed compatibility certification with Ascend AI processors, and localized the core signal acquisition chain domestically in China.

3. Future Plans: Wabo will establish dual headquarters in Chengdu and Shanghai to bring together cross-disciplinary research talent. Leveraging a compliant data flywheel iteration model, the company aims to enable natural human-machine coexistence and usher in a new era of brain intelligence.

Wabo Technology’s progress reveals new consumer trends and product development directions in human-computer interaction for brands. Key takeaways are as follows:

1. Consumer Trends: Next-generation human-computer interaction is shifting from language understanding in software to intent understanding in the physical world. Consumers are demanding increasingly natural interaction experiences, and BCI is moving out of the lab and toward commercialization. As a core high-growth track for future smart hardware, brands that position themselves early can gain a first-mover advantage.

2. Product R&D Directions: A core pain point for current AI-powered products including smart hardware and service robots in real-world physical scenarios is their inability to accurately identify users’ true action intentions, which leads to poor interaction experiences. When developing next-generation products, brands can address this gap by integrating mature neural intent layer solutions to significantly improve product competitiveness.

3. Industry Collaboration Opportunities: Wabo has already launched a neural intent data platform with a fully functional end-to-end technology stack that supports domestic localization. Brands can partner with Wabo to co-develop and launch next-generation human-computer interaction products and unlock new market opportunities.

The BCI track has entered the early stage of commercial deployment, creating new opportunities for sellers in related fields. Key takeaways are summarized below:

1. Market Opportunities: While AI has already solved problems in computer vision and speech recognition, understanding human intent in physical scenarios remains a clear untapped market. The neural intent layer will serve as core infrastructure for next-generation human-computer interaction, driving massive new demand across consumer-facing smart wearables, B2B industrial control, service robots and other segments. Sellers can explore opportunities focused on niche use cases.

2. Replicable Business Model: Wabo uses a positive data flywheel model of "user value delivery → compliantly sourced authorized data → model iteration → improved product experience", which solves the data accumulation challenge for new technology deployment. This model is a valuable reference for entrepreneurs and sellers operating in emerging technology fields.

3. Risk Warning: The BCI track is still in an early development stage, requiring extended timelines for both technology commercialization and market education. Sellers should identify well-defined niche scenarios before entering the space, avoid blind large-scale investment, and strictly comply with regulatory requirements for neural data usage.

Wabo Technology’s growth brings new demand and opportunities for hardware manufacturing factories. Key insights are summarized below:

1. Product Design and Manufacturing Requirements: Non-invasive BCI terminals prioritize ultra-simple wearability and high stability, creating new requirements for components such as electrodes, analog front ends (AFE), acquisition boards and terminal structural design, as well as for complete device manufacturing. Factories can proactively develop production capacity that meets relevant technical standards to adapt to industry growth.

2. Business Collaboration Opportunities: Wabo is working to localize its core signal acquisition chain, and requires collaborative R&D on core components with upstream supply chain partners. Chinese hardware factories can partner with BCI startups such as Wabo to enter the core supply chain for next-generation human-computer interaction, unlock new revenue growth and escape the price competition of traditional hardware.

3. Digital Transformation Insights: Factories can follow Wabo’s example of end-to-end strategic布局, building full-chain capabilities from core component R&D and manufacturing to downstream scenario adaptation to develop their own technological moats. This approach helps factories capture opportunities in cutting-edge technology tracks and advance their own digital upgrades.

The growth of the BCI industry is creating new industry trends and business opportunities for all types of service providers. Key takeaways are summarized below:

1. Industry Development Trends: BCI has transitioned from academic laboratory research to commercial engineering deployment. The core focus of the industry has shifted from pursuing laboratory precision metrics to real-world application deployment. As core infrastructure for AI’s expansion into the physical world, neural intent modeling will open enormous future market opportunities, and demand for supporting industry services will grow rapidly.

2. Core Client Pain Points: Current AI and robotics service providers face a shared key challenge: existing AI technology cannot understand human intent in physical tasks, leading to poor interaction experiences and stalled deployment. There is urgent demand for new technical solutions to address this gap.

3. Business Opportunities and Solutions: B2B service providers can integrate Wabo’s neural intent data platform and full-stack technology into their own product offerings to improve competitiveness; they can also provide supporting services for BCI companies including compliant data governance, supply chain support, and industry-university-research collaboration to reach new customer groups and build new growth curves.

Wabo Technology’s commercial progress offers valuable insights for all types of industry and AI platforms, summarized below:

1. Enterprise Demand for Platforms: Cutting-edge hard technology BCI companies need access to industrial policy support, university-research resources, and R&D infrastructure. Wabo’s decision to locate at Shanghai’s Brain Intelligence Innovation Park demonstrates that specialized cutting-edge industry platforms need to provide targeted R&D and supply chain resources to attract high-quality companies.

2. Platform Investment Promotion and Operation Directions: BCI and human-computer interaction are core cutting-edge tracks for the future, and startups with full-stack engineering capabilities are high-quality investment targets. These companies, which have already secured backing from top-tier investors, can drive industry clustering in their niche segments, so platforms can prioritize partnering with this type of company to build their own distinctive industry positioning.

3. Risk Mitigation: Cutting-edge hard technology requires long deployment timelines, so platforms need to implement long-term supportive policies aligned with the pace of enterprise growth and avoid imposing overly stringent short-term performance requirements; platforms must also prioritize compliance around neural data collection and usage, requiring companies to implement proper data authorization and compliant governance to mitigate regulatory risk.

Wabo Technology’s entrepreneurial journey represents the latest industry trends in the BCI space, offering valuable research insights for scholars in related fields. Key takeaways are summarized below:

1. New Industry Directions: The BCI industry’s development focus has shifted: it no longer pursues purely academic metrics, channel counts or laboratory precision, but has pivoted to engineering commercialization. The core focus has shifted to building commercially viable neural intent models to fill the missing intent layer for AI entering the physical world, which represents an entirely new direction for industry development.

2. New Research Priorities: Industry growth has created new research questions, including methods for neural intent recognition in real-world scenarios, how to accumulate fully task-labeled neural data with compliant user authorization, how to build intent models reusable across multiple terminals and scenarios, and how to build data-driven model iteration flywheels.

3. Reference Business Model: Wabo’s positive "user acquisition via terminals → authorized data accumulation → model iteration → product upgrade" flywheel model balances data compliance with fast model iteration. Its strategy of dual headquarters in Chengdu and Shanghai to integrate R&D and supply chain resources also provides a valuable reference case for industrial research in the BCI field.

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.

从成都到上海,引领下一个脑智时代。

一个人戴上一套极简佩戴的神经终端,无需涂抹导电膏。随着注意目标发生变化,数架无人机开始切换编队;下一刻,同一套神经控制入口被切换到机械臂,完成物体抓取;再往后,机器狗开始移动,并执行捡取任务。

这不是科幻电影里的场景,而是瓦博科技最近完成的一组受控演示。

近日,这家非侵入式脑机接口公司宣布完成新一轮融资。本轮天使轮融资由新加坡淡马锡旗下的祥峰投资、洪泰基金、未来产业基金、惠丰达资本共同参与。

真正让投资人下注的,并不是一款更轻便的脑电产品,也不是一次颇具冲击力的演示,而是一个仍带有科幻色彩、却已经被瓦博工程化拆解的方向:构建“神经意图模型”——让机器不仅能看到人做了什么,还能在动作发生之前,理解人想做什么、是否确认、何时纠错,以及什么时候必须停止。

如果说大语言模型试图让机器理解人类语言,那么瓦博的神经意图模型试图补上的,是人工智能进入物理世界之前缺失的“人类意图层”。

让脑机接口走出实验室

过去很长一段时间,脑机接口的先进性往往体现在论文指标、通道数量和实验室精度上。满头导线、导电膏、长时间校准,以及专业人员辅助,几乎构成了脑机接口演示的标准画面。

瓦博依靠行业内少有具备的从神经采集入口、信号处理到神经意图识别模型和数据监管的全栈式系统能力,陆续在各个应用场景实现了突破。例如,在瓦博科技与格式塔两家成都“脑机双子星”企业最近接受的央视访谈中,公司展示了非侵入式神经采集与神经意图模型进入真实场景的画面。

瓦博发布的神经意图数据平台NIDP(Neural Intent Data Platform) ,也已完成与昇腾AI处理器的兼容性测试并获得昇腾技术认证,公司已经打通了“神经采集、数据处理、模型训练、端侧推理和物理控制”的完整链路。

此外,公司还围绕电极、AFE模拟前端、采集板卡、滤波抗干扰、终端设计、算法和控制接口进行了行业内最高强度的连续工程优化,与上游芯片和供应链伙伴协同推进了核心采集链路的国产化。

作为本轮融资的主要投资方,祥峰投资和洪泰基金近年都在重点押注人机交互和Physical AI,瓦博让人惊艳的数据采集、信号处理及精度、设备控制接口、模型训练及优化、工程落地的系统能力让投资方嗅到了下一个巨大机会。

真正被资本押注的:神经意图模型

AI已经能够识别图像、理解语言,也能够从视频中模仿人的动作。但在真实物理任务中,机器仍然缺少一类重要的本质信息:人为什么要做出这个动作。

摄像头可以看到一个人把手伸向杯子,却很难仅凭动作判断他是准备喝水、递给别人,还是发现危险后想把杯子移开。机器可以学习抓取轨迹,却不知道人在什么时候确认结果、什么时候感觉不对,以及什么时候希望它马上停下。

这正是神经意图模型想要解决的问题。

瓦博所定义的神经意图模型,并不是脱离任务去读取人的全部思想,也不是用AI包装几个脑电分类指令。它是一套“任务条件”模型:在明确的任务、环境和时间上下文中,融合EEG、EMG、行为、视觉、设备状态和执行结果,判断用户此刻的目标、动作倾向、确认、纠错、停止或接管意图。

模型输出的也不只是“向左”或“向右”,而是一组机器可以理解的意图向量,包括目标、动作、状态、置信度、不确定性以及是否应该拒绝执行。

这套模型首先要学会的,甚至不是“做什么”,而是“什么时候什么都不做”。

瓦博所构建的神经意图模型未来将为VLA、世界模型及机器人控制策略提供更高层次的目标、边界和反馈,让机器从复现动作进一步走向理解任务,从模仿人类行为走向与人类协同。

数据飞轮:模型在真实世界中的增强进路

瓦博的神经意图模型让神经技术第一次有机会持续进入广泛、真实的人类生活场景,让更多普通用户在获得明确产品价值、充分知情并自主授权的前提下,共同参与一场长期而宏大的人机协同探索:人类意图如何被理解、被表达,并最终与机器形成自然协作。

随着灵犀、织梦者等终端进入更多用户和场景,瓦博可以在用户明确授权下,积累跨用户、跨时段,并带有任务条件和执行结果标签的神经数据。对模型而言,一段孤立的脑电波价值有限;真正有价值的是一条完整任务链:用户面对什么任务、准备完成什么、神经与肌肉信号如何变化、机器执行了什么,以及用户是否确认、纠错或接管。

为此,瓦博已经构建了自己的数据采集、清洗、治理和训练平台,把神经信号、任务事件、时间戳、设备状态、信号质量、模型输出和物理执行结果组织成可持续训练的数据资产。经质量控制、去标识化和分级治理后,授权数据用于训练与验证神经意图模型;模型能力提升后再回到终端,改善识别稳定性、个体适配和交互体验。

在这个循环里,每一位用户都不是被动的数据来源,而是这场人机协同范式的共同参与者。建立长期用户关系、场景、任务和验证,合规授权数据持续反哺模型,模型进化后再提升产品价值,最终形成“用户价值、用户信任、真实任务数据和模型能力”相互增强的长期飞轮。

从成都到上海,引领下一个脑智时代

伴随着新一轮融资落地的同时,瓦博已完成与上海市闵行区政府及“脑智天地”的落地对接,将以复旦大学孵化的脑机接口创新中心项目正式入驻,并计划启动成都、上海双总部布局。其中,上海将聚焦高端研发、神经意图模型、闭环神经调控及产学研医协同;成都则聚焦硬件与产品研发、供应链、工程化交付和规模化场景应用。

对于瓦博而言,他正在探索和验证的是一件具有长期价值的事情:人类意图能否从某一台设备中解耦,成为跨终端、跨被试、可长期复用的标准输入。

为此,瓦博已汇聚了来自复旦大学、天津大学等高校的脑机接口、神经工程与神经意图研究力量,组建跨学科科学家团队,系统推进人类神经意图模型的底层研究、数据体系与闭环验证。

瓦博坚信,随着人类意图模型的训练和增强,脑智时代终将来临,它指向的是一种更为自然的人机共融关系:人类不需要逐个控制机器的每一个关节,而是提供目标、偏好、确认和纠错;另一个“身体”在人工智能的帮助下完成感知、规划和执行,并始终把最终控制权留在人类的手里。

这种意图产生和生物反馈的高度耦合,从某种程度上来讲,正引领着我们悄悄打开关于人类大脑运行本质的大门,这扇大门的背后会有硅基如何理解碳基“人类意图层”的答案、也会有碳基如何理解自身意识起源的线索。

打开这扇门就意味着走向下一个脑智时代,而打开这扇门的钥匙,或许就握在瓦博科技的手中。

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FAQ回顾

瓦博科技是做什么的?

瓦博科技是非侵入式脑机接口企业,核心研发神经意图模型,可补全人工智能进入物理世界前缺失的人类意图层,目前已打通神经采集、数据处理、模型训练、端侧推理和物理控制的完整链路。

神经意图模型有什么作用?

神经意图模型可在明确的任务、环境和时间上下文里,融合脑电、行为、视觉等多类信号判断用户的目标、动作倾向、确认等意图,输出机器可理解的意图向量,未来可为VLA、世界模型及机器人控制策略提供目标、边界和反馈。

投资瓦博科技的机构主要看重什么?

本轮瓦博科技天使轮融资由祥峰投资、洪泰基金、未来产业基金、惠丰达资本共同参与,投资方主要看重其神经意图模型的长期发展前景,以及行业领先的全栈式脑机接口系统能力、工程落地能力。

瓦博科技完成融资后有什么布局规划?

瓦博科技完成融资后将落地上海闵行区脑智天地,布局成都、上海双总部,上海聚焦高端研发、神经意图模型、闭环神经调控及产学研医协同,成都聚焦硬件研发、供应链、工程化交付和规模化场景应用。

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