2025年8月，其完成数亿元天使轮融资，由蚂蚁集团领投； 2025年10月，其完成数亿元A轮融资，由京国瑞管理公司和博佳资本领投，蚂蚁集团继续加注； 2025年11月，其完成数亿元人民币A+轮融资，由浙江创新投资、德清产投、乐聚机器人等投资； 机器人前瞻（公众号：robot_pro） 作者 | 许丽思 编辑 | 漠影 机器人前瞻2月12日报道，刚刚，灵心巧手宣布完成近15亿元B轮融资。本轮融资由道得投资、盛世投资领投，盈渊朴远基金、诺瓦星云、新鼎资本、中 和资本、智路资本、诚筑投资、临云资本、嘉铭浩春、财鑫资本、Singapore Eastern Epic Capitals等知名投资机构和产业方跟投。 灵心巧手称，本轮融资将用于核心产品技术研发、进一步产能提升和全栈基座能力打造。 2025年以来，灵心巧手是获得融资次数最多的灵巧手企业，此前已累计完成5轮融资： 2025年4月，其完成了超亿元种子轮融资，由红杉种子基金、万凯新材领投，创下灵巧手行业最大种子轮融资纪录； 该公司还设计研发了LinkerSkillNet多模态数据采集系统，构建全球最大的灵巧操作技能库，；并推出Dex-Serl真机强化学习框架，引入末 ...

Core Insights - Alipay's "AI Payment" has achieved over 120 million transactions in one week, making it the world's first AI-native payment product to surpass 100 million transactions [1] - Previously, Alipay's "Tap to Pay" reached over 100 million daily transactions in January, indicating significant growth in Ant Group's innovative payment services [1] Group 1 - Alipay's "AI Payment" has become a leading product in the payment industry by surpassing 120 million transactions in just one week [1] - The achievement highlights the rapid adoption and success of AI-driven payment solutions in the market [1] - Ant Group's two innovative payment services have both crossed the "100 million" threshold, showcasing the company's strong position in the fintech sector [1]

Core Insights - The rapid growth of AI in China is attributed to multiple factors including the AI China chain, AI China ring, industrial AI confidence, talent aggregation, capital increase, market application momentum, and policy encouragement [1][2][6] Group 1: AI Model Releases - On February 11, nine significant AI models and intelligent products were launched, including Deepseek's unnamed new model, Zhiyu Pony Alpha, Minimax Agent M2.5, iFLYTEK's Spark X2 model, and Ant Group's Ming Flash Omni 2.0 [1][6] - The release of models such as Wenxin 5.0, Qwen 3-Max-Thinking, and Kimi-2.5 indicates a speeding up of China's AI capabilities since the beginning of the year [2][7] Group 2: Competitive Landscape - The domestic technology competition structure is expected to be 2+4+3+N, while the user market structure will be (3+1)+6+N, favoring platforms with full-stack AI capabilities [3][8] - The emergence of takeover-type agents is anticipated to accelerate competition in the AI space, with products like OpenClaw setting new benchmarks [3][9] Group 3: Technological Advancements - Native multimodal and full-modal capabilities are becoming standard, with advancements in video generation expected to enhance usability [4][9] - The Kimi-2.5 Swarm model has achieved a significant token volume, indicating a shift towards multi-agent and swarm intelligence [5][9] Group 4: Code and Infrastructure - Code is becoming a critical area of focus, with companies like Qwen, DS, and ByteDance increasing their capabilities in code and ecosystem development [6][10] - The year is projected to be pivotal for humanoid robots, with advancements in intelligent migration and autonomous learning expected to develop the "brain" of robots by 2026 [7][10] Group 5: Resource Challenges - A potential shortage of computing power is anticipated due to the rapid acceleration of applications and the influx of millions of new users [8][10] - The demand for computing resources is expected to outpace supply, even with increased domestic capacity, leading to challenges in meeting the needs of various AI applications [10]

Market Review - The A-share artificial intelligence and robotics sectors are experiencing a phase of adjustment, with both thematic ETFs slightly declining while maintaining low-level consolidation. However, there is solid support from core stocks, and the robot ETF has seen continued inflow from major funds, indicating a potential rebound opportunity. The current adjustment presents a good opportunity for low-cost accumulation [1] - The Huaxia Sci-Tech AI ETF (589010) saw a slight increase in the afternoon before retreating, with the latest price at 1.574 yuan, down 0.823% from the opening price. Among the 30 constituent stocks, 22 declined, with notable drops from companies like Lanke Technology and Lingyun Light. However, the overall decline was moderate, with Sikan Technology rising over 10% to provide strong local support [1] - The Robot ETF (562500) experienced a slight increase in the morning before retreating to low-level fluctuations, with the latest price at 1.067 yuan, down 1.108% from the opening price. Out of 66 constituent stocks, 49 declined, with companies like Aifute and Weichuang Electric dropping over 6%. Conversely, Matrix Technology rose over 8%, effectively offsetting some downward pressure [1] - The liquidity aspect shows a trading volume of 850.4 million yuan for the AI ETF and 8.19 billion yuan for the Robot ETF, with turnover rates of 3.25% and 3.16% respectively, indicating stable trading activity and a solid foundation for future rebounds [1] Hot News - Zhipu released its next-generation flagship model GLM-5, which has coding and agent capabilities reaching open-source SOTA, closely resembling real programming scenarios. This model excels in complex system engineering and long-range agent tasks [2] - In the App Store's free application rankings in China, Qianwen and Antifufu saw a significant increase in downloads, taking the top two spots. The launch of new features contributed to this surge [2] - On February 11, MSCI announced its quarterly review results, with 37 stocks including SenseTime being added to the MSCI China Index, effective after the market closes on February 27. Additionally, SenseTime's subsidiary completed angel round financing led by Ant Group, with funds aimed at advancing various technological developments [2] Institutional Insights - According to a report by CICC, by 2025, global large model technology capabilities will continue to evolve and gradually be applied in productivity scenarios, achieving significant progress in reasoning, programming, agents, and multimodal capabilities. However, there are still shortcomings in stability and hallucination rates. Looking ahead to 2026, breakthroughs in reinforcement learning, model memory, and contextual engineering are expected, moving closer to the long-term goal of artificial general intelligence (AGI) [3]

Market Review - The A-share artificial intelligence and robotics sectors entered a phase of adjustment, with both thematic ETFs slightly declining while maintaining low-level consolidation, indicating a potential opportunity for bottom-fishing [1] - The Huaxia Sci-Tech AI ETF (589010) experienced a slight increase before retreating, closing at 1.574 yuan, down 0.823% from the opening price, with 22 out of 30 constituent stocks declining [1] - The Robot ETF (562500) showed a similar pattern, closing at 1.067 yuan, down 1.108% from the opening price, with 49 out of 66 constituent stocks declining [1] - The liquidity remained stable, with trading volumes of 85.04 million yuan for the AI ETF and 819 million yuan for the Robot ETF, indicating a steady trading rhythm [1] - The current low-level consolidation is seen as a good opportunity for investors to lower their holding costs and prepare for a potential rebound [1] Hot News - Zhipu released its next-generation flagship model GLM-5, which excels in coding and agent capabilities, approaching the performance of ClaudeOpus4.5 in real programming scenarios [2] - In the App Store's free application rankings in China, Qianwen and Antifufu saw significant download increases, attributed to promotional activities [2] - On February 11, MSCI announced the quarterly review results, with 37 stocks including SenseTime being added to the MSCI China Index, effective after market close on February 27 [2] Institutional Insights - According to CICC's research report, by 2025, global large model technology will continue to evolve, achieving significant progress in reasoning, programming, agents, and multimodal capabilities, although challenges remain in stability and hallucination rates [3] - Looking ahead to 2026, CICC anticipates breakthroughs in reinforcement learning, model memory, and contextual engineering, moving closer to the long-term goal of artificial general intelligence (AGI) [3] Popular ETFs - The Robot ETF (562500) is the only one in the market with a scale exceeding 20 billion, offering the best liquidity and comprehensive coverage of the Chinese robotics industry [4] - The Huaxia Sci-Tech AI ETF (589010) is positioned as the brain of robotics, capturing the "singularity moment" in the AI industry with a 20% price fluctuation range and small to mid-cap elasticity [4]

商报讯(记者杨伊琳通讯员邱薇娅)"以前抢消费券，定好闹钟拼手速，经常空手而归；现在好了，去店 里消费，支付宝碰一下，优惠券自动到账、直接抵扣，全程不用多操作一步。"家住杭州西湖区的市民 李女士近日在全家便利店购物时，真切感受到了消费补贴的"便捷红利"。这一变化，源于杭州在消费转 型升级改革中的全新探索——"即碰即用"数字消费券模式，它打破了传统消费券"抢券难、用券繁"的困 境，让消费补贴精准触达消费者。 "不仅用着方便，还很放心，不用担心遇到套路。"市民陈女士的感受，道出了很多消费者的心声。杭州 结合支付宝大数据风控技术，通过NFC技术与"碰一下"设备双重核验，精准识别黄牛刷单、套现等异常 交易，将风险发生率从传统模式的3.98%降至0.26%；同时，建立商户诚信评价体系，严禁商户变相加 价、增设用券附加条件，组建专项执法检查组开展排查，对违规商户实行退出机制，全方位保障消费者 和诚信商户的合法权益。 实惠的优惠、便捷的体验、可靠的保障，让"即碰即用"模式迅速收获了消费者的认可。试点期间，这一 模式带动55.47万人次消费超3824.57万元，消费券杠杆率达7.65，叠加"打卡领红包"等激励活动，更激 发了消 ...

Group 1: Google Chrome and WebMCP Protocol - Google Chrome team has released the WebMCP (Web Model Context Protocol), allowing AI agents to interact directly with website kernels via the navigator.modelContext API, bypassing human user interfaces [1] - WebMCP addresses the high costs and low stability issues of traditional agent screenshot recognition, marking a transition from "visual simulation" to "logical direct connection," referred to as "API in UI" [1] - This standard is being jointly promoted by Google and Microsoft, indicating a potential future division of the internet into UI layers for humans and tool layers for agents, heralding the arrival of the "Agentic UI" era [1] Group 2: Runway's Financing and Model Development - Video generation unicorn Runway has secured $315 million in Series E funding, achieving a valuation of $5.3 billion, with participation from Nvidia, AMD, and Adobe, bringing total funding to $815 million [2] - Runway's Gen-4.5 ranks third in the AI-generated video leaderboard, surpassing models like Google Veo 3 and OpenAI Sora 2 Pro [2] - The new funding will be used to train the next generation of world models, having already launched the general world model GWM-1, which includes variants for explorative environments, dialogue characters, and robotic operations [2] Group 3: xAI Leadership Changes - xAI co-founders Jimmy Ba and Wu Yuhua announced their departures within 48 hours, with 6 out of 12 founding team members having left, including 5 in the past year [3] - Responsibilities of the departing co-founders have been redistributed among other co-founders, and SpaceX's acquisition of xAI has been completed, with an IPO plan set to advance in the coming months [3] - xAI's flagship product Grok has recently exhibited strange behaviors, and the talent loss poses challenges for the upcoming IPO [3] Group 4: DeepSeek's New Model - DeepSeek has quietly launched a new model supporting a 1 million token context window, with knowledge cutoff in May 2025, capable of processing content equivalent to the entire "Three-Body Problem" trilogy [4] - This model remains a pure text model, unable to view images directly but capable of reading text from images and documents, with enhanced Agentic Coding capabilities [4] - The industry trend is shifting from LLM reasoning to Agentic reasoning, as indicated by the latest models from Anthropic and OpenAI, suggesting humans will act as architects directing AI teams in software development [4] Group 5: Zhiyu's GLM-5 Model - Zhiyu has confirmed that the mysterious model "Pony Alpha," which topped the OpenRouter popularity chart, is its new model GLM-5, achieving state-of-the-art performance in coding and agent capabilities [5] - GLM-5's performance in real programming scenarios closely approaches that of Claude Opus 4.5, excelling in complex systems engineering and long-range agent tasks with high tool invocation accuracy [5] Group 6: Ant Group's Omni Model - Ant Group has open-sourced the full-modal model Ming-flash-omni 2.0, the first in the industry to generate voice, environmental sound effects, and music simultaneously on the same audio track [7] - This model excels in visual language understanding, controllable speech generation, and image editing, surpassing capabilities of Gemini 2.5 Pro and Qwen3-Omini-30B-A3B-Instruct [7] - The model employs a unified architecture for deep multi-modal integration, supporting zero-shot voice cloning and fine attribute control, and has been open-sourced on platforms like HuggingFace [7] Group 7: iFlytek's Starfire X2 Model - iFlytek has released the Starfire X2 model, trained on entirely domestic computing power, with overall capabilities matching international top levels, particularly in mathematics, reasoning, and agent tasks [8] - Starfire X2 utilizes a 293 billion MoE sparse architecture, improving inference performance by 50% compared to X1.5, and continues to enhance capabilities in over 130 languages, maintaining industry leadership in key languages for Latin America and ASEAN [8] - Industry applications have been significantly upgraded, with medical capabilities passing authoritative evaluations and educational applications achieving personalized learning through error analysis [8] Group 8: Meituan's LongCat Research Agent - Meituan's LongCat has launched a "deep research" feature, scoring 73.1 in the BrowseComp evaluation, approaching top closed-source models, supporting up to 400 interactions and 256K context [9] - Leveraging Meituan's native capabilities in local life, it creates a real training environment and employs a Rubrics-as-Reward mechanism to address AI hallucination issues, ensuring all recommendations are verifiable [9] - The model utilizes a multi-agent specialized division of labor, automating the entire process from information gathering to research analysis and visualization, capable of generating professional reports for restaurant recommendations and travel planning [9] Group 9: ByteDance's Protenix-v1 Model - ByteDance's Seed team has released Protenix-v1, an open-source model that matches the performance of AlphaFold 3 under strict training data and model size constraints [10] - This model successfully unlocks scaling capabilities during inference, with the prediction success rate for antibody-antigen complexes increasing from 36% with a single seed to 47.68% with 80 seeds [10] - The team has adopted a dual-version strategy, with the standard version aligning with academic benchmarks and the extended version utilizing data from June 2025 for practical drug discovery applications, along with the launch of the PXMeter evaluation toolkit [10]

Core Insights - China is leveraging policy advantages, deep involvement of tech giants, and a large user base to showcase its technological edge in the global healthcare AI arena [1][3] - The rapid development of healthcare AI in China is significantly supported by strong policy guidance, which has provided a clear growth path for the industry [1][3] Industry Overview - By 2024, approximately 400 million people in China are expected to use digital healthcare services, with over 800 million users linking their basic medical insurance information to Alipay [3] - The Chinese online healthcare market is projected to reach 480 billion RMB (approximately 69 billion USD) by 2025 [3] Company Highlights - Ant Group's AI health assistant "Ant Aifu" has attracted over 1,000 licensed doctors to train its digital avatars, demonstrating significant engagement and utility [3] - In the past year, AI avatars managed over 27 million inquiries, with "Ant Aifu" currently having around 30 million active users and processing approximately 10 million health consultations daily [3] - Alibaba Health is expected to achieve over 60% profit growth in 2024, indicating the commercial viability of the "AI + healthcare" model [3] Competitive Landscape - Despite its leading position, the healthcare AI sector in China faces intense competition from established companies like Tencent, DeepSeek, and Ping An Medical Technology [4] - Continuous innovation is essential for maintaining competitive advantages in this rapidly evolving market [4]

Group 1 - The successful flight test of the Long March 10 rocket and the Dream Boat crewed spacecraft marks a significant milestone in China's manned lunar exploration program [1][9] - The Long March 10 rocket's first stage safely splashed down in the designated sea area as per the planned procedure [3][11] Group 2 - Ant Group has released the Ming-Flash-Omni 2.0, the industry's first unified audio generation model capable of generating voice, environmental sounds, and music simultaneously on the same audio track [5][11] - The model allows users to control various audio parameters such as tone, speed, pitch, volume, emotion, and dialect using natural language commands [5][11] Group 3 - The A-share market showed mixed results, with the Shanghai Composite Index up by 0.09% and the ChiNext Index down by 1.08% [14] - Small metals, oil and gas extraction, and chemical sectors saw active performance due to price increases, while sectors like film and tourism experienced declines [14] Group 4 - Tianji Co. received a notice from the China Securities Regulatory Commission regarding an investigation into suspected violations of information disclosure laws [15]

2月10日，大晓机器人宣布，已于近期完成天使轮融资。本轮融资由蚂蚁集团领投，启明创投、金景资 本、弘毅投资、联想创投、上海交大母基金菡源资产等机构跟投，老股东商汤国香资本持续增资。 融资金额并未披露，但据了解，这是中国具身智能天使轮融资中金额较大的一笔。 随着宇树、智元、银河通用等头部机器人企业走过Demo阶段，逐步量产走向商业化，仍在Demo阶段的 机器人已很难获得投资人的青睐。大晓机器人不仅赢得启明创投、联想创投、弘毅投资等"AI独角兽企 业捕捉能手"的青睐，更是拿下了蚂蚁集团的大手笔融资。 对此，弘毅投资高级投资经理谷雨向记者透露，大晓机器人不仅拥有顶级的研发团队，而且在具身智能 正从信息世界走向物理世界的关键时间节点上，大晓机器人所选择的技术路线正是未来10年最重要的技 术方向之一。同时，大晓机器人与多家生态伙伴达成战略合作，已在巡检、文旅等多样化场景验证落 地，实现了规模化商业闭环。 【导读】大晓机器人拿下天使轮融资 成立不到两个月，大晓机器人获蚂蚁集团、弘毅投资等多家知名投资机构融资。 谷雨高度认同该团队，他告诉记者："这个团队是由全球顶尖的科学家领衔，核心团队长期深耕AI赛 道，从早期的计算机视 ...