证监会请天瞳威视补充说明以下事项，请律师核查并出具明确的法律意见： 一、请说明备案材料对控股股东认定结果不一致的原因及认定标准，并就控股股东的认定情况出具明确 结论性意见。 二、请说明最近12个月内新增股东入股价格的定价依据及公允性，该等入股价格之间存在差异的原因， 是否存在入股对价异常，并就是否存在利益输送出具明确结论性意见。 三、请对照《监管规则适用指引——境外发行上市类第2号：备案材料内容和格式指引》要求，完善说 明发行上市方案。 四、请以通俗易懂的语言详述你公司业务模式及涉及AI大模型的具体情况，包括应用场景、具体功能 等。 12月26日，中国证监会发布《境外发行上市备案补充材料要求(2025年12月22日—2025年12月26日)》。 中国证监会国际司共对19家企业出具补充材料要求，其中，要求天瞳威视补充说明控股股东认定结果不 一致的原因及认定标准等事项。据港交所10月31日披露，苏州天瞳威视电子科技股份有限公司向港交所 主板提交上市申请书，中银国际、汇丰及华泰国际为其联席保荐人。 六、请说明同时设置境内外员工持股平台的原因及必要性，涉及履行境外投资、外汇管理等监管程序的 具体情况及合规性，相关激励 ...

智通财经APP获悉，12月26日，中国证监会发布《境外发行上市备案补充材料要求(2025年12月22日— 2025年12月26日)》。中国证监会国际司共对19家企业出具补充材料要求，其中，要求天瞳威视补充说 明控股股东认定结果不一致的原因及认定标准等事项。据港交所10月31日披露，苏州天瞳威视电子科技 股份有限公司向港交所主板提交上市申请书，中银国际、汇丰及华泰国际为其联席保荐人。 证监会请天瞳威视补充说明以下事项，请律师核查并出具明确的法律意见： 一、请说明备案材料对控股股东认定结果不一致的原因及认定标准，并就控股股东的认定情况出具明确 结论性意见。 七、请说明本次拟参与"全流通"股东所持股份是否存在被质押、冻结或其他权利瑕疵的情形。 招股书显示，天瞳威视是以软件为核心的智能驾驶解决方案提供商。该公司向全球市场提供全方位的智 能驾驶解决方案，涵盖L2-L2+级及L4级自动化水平，并在各个自动化级别领域均实现了卓越的商业化 往绩。 在L2-L2+级解决方案领域，该公司提供智能行车与泊车解决方案以及具备诸如 DMS等主动安全功能的 智能座舱解决方案。根据灼识谘询的资料，按2024年装机量计，该公司是中国第二大同 ...

Core Insights - Nullmax, founded by a former Tesla executive, received a strategic investment in the C1 round from a domestic automotive-grade chip company, highlighting its credibility in an industry focused on "software-hardware integration" and "vertical integration" [1] - The company aims to position itself as an AI company rather than just a supplier for automotive firms, with a vision of expanding its technology beyond the automotive sector [1][2] - Nullmax's approach combines a "vision-centric" strategy with multi-sensor fusion, allowing it to stand out as a leading independent AI company capable of achieving "software-defined intelligent driving" [1][5] Company Development - The founder, Xu Lei, transitioned from Qualcomm to Tesla, where he played a key role in developing Autopilot, before establishing Nullmax in 2016 to focus on the rapid growth of ADAS in China [2][3] - The company initially collaborated with Didi on a project that faced challenges due to Didi's strategic shift, leading to a focus on a more flexible "platformization" strategy [3][6] - Nullmax has developed a middleware layer that abstracts hardware interfaces, allowing its software to be compatible across various chip platforms, enhancing deployment flexibility [5][6] Business Model - Nullmax's business model is more adaptable compared to traditional Tier 1 suppliers, focusing on high-margin, low-inventory risk "pure software licensing" [6] - The company aims to leverage its software platform to deploy solutions across different regions and chip platforms, emphasizing a pragmatic approach to business development [6][9] - The potential for rapid scalability is evident, with expectations of reaching a million vehicle scale in the next five years through partnerships with leading Tier 1 companies [7][9] Future Prospects - Nullmax is exploring applications beyond automotive, including industrial AGVs, agricultural machinery, and specialized robots, indicating a strategy to diversify its market presence [9][10] - The company is expanding into international markets, including Europe and Southeast Asia, through localized partnerships with Tier 1/OEMs to adapt to regional traffic regulations and chip ecosystems [9][10] - As the industry evolves, Nullmax aims to capitalize on its visual AI capabilities to drive innovation across various sectors, positioning itself for future growth opportunities [10]

Core Viewpoint - Chengtai Technology has submitted an application for a mainboard listing on the Hong Kong Stock Exchange, with Guotai Junan International as its sole sponsor [1] Group 1: Company Overview - The company specializes in the design, research and development, manufacturing, and commercialization of millimeter-wave radar products [1] - Chengtai Technology operates production bases in Shenzhen and Suzhou [1] - The company employs a "business three-ring" model, focusing on high-quality hardware, agile software, and rapid delivery to provide OEM customers with high-quality and quickly deployable intelligent driving products and services [1] Group 2: Product Offerings - Chengtai Technology has developed multiple generations of millimeter-wave radar product matrices that support intelligent driving needs from L0 to L2+, including competitive 5th generation 4D radar and 5.5th generation high-resolution 4D radar products [1] - The company has established partnerships with over 20 automotive industry clients, including several leading Chinese OEMs, and its high-resolution products have been adopted by major clients [1] - Chengtai Technology is currently in discussions with leading European automotive brands [1] Group 3: Competitive Advantages - The company demonstrates significant advantages in delivery efficiency, with an average product delivery cycle for customized software ranging from 6 to 9 months, which is considerably lower than the industry average of 12 to 24 months [1] - Some collaborative projects can even be delivered within one month [1]

Core Viewpoint - Over the past decade, China's intelligent driving industry has transitioned from a closed chain to an inclusive ecosystem, driven by technological advancements and collaborative efforts among local companies [1][36]. Group 1: Industry Evolution - In 2011, Tesla's CEO Elon Musk dismissed BYD as a competitor, highlighting the significant gap in technology and product appeal between Chinese automakers and Tesla at that time [2][3]. - By 2024, Chinese automakers like BYD and Geely have surpassed Tesla in sales, becoming part of the top ten global car manufacturers, showcasing the rapid evolution of the industry [4]. - The core of Tesla's sustained optimism lies in its self-developed chips and intelligent driving capabilities, which have spurred a wave of research and development in China's intelligent driving sector [4]. Group 2: Key Players and Partnerships - The critical turning point for China's intelligent driving industry occurred between 2019 and 2020, marked by the emergence of companies like Horizon Robotics and Momenta, which began to establish themselves in the market [6]. - The collaboration between Changan Automobile and Horizon Robotics exemplifies how local companies are building flexible and open supply chain systems, enhancing their control over core technologies [10][12]. - The partnership between Li Auto and Horizon Robotics allowed for rapid development and deployment of advanced driving features, demonstrating the importance of open collaboration in overcoming technological challenges [13][17]. Group 3: Technological Advancements - The shift from Mobileye's closed delivery model to more open and collaborative approaches has catalyzed the development of local intelligent driving technologies, enabling companies to gain autonomy over their systems [9][18]. - Horizon Robotics' introduction of the Journey 5 chip, which offers high performance and supports advanced driving needs, has positioned the company to compete in the high-end intelligent driving market [23][24]. - The "HSD Together" model proposed by Horizon Robotics aims to enhance collaboration across the supply chain, significantly reducing development costs and time to market for automotive companies [27][28]. Group 4: Market Accessibility and Inclusivity - The evolution of intelligent driving technology is making advanced features more accessible to a broader range of consumers, breaking down price barriers that previously limited adoption to high-end vehicles [30][31]. - BYD's upcoming "Heavenly Eye" system, powered by Horizon Robotics' Journey 6 chip, aims to provide advanced driving capabilities across its entire model range, including lower-priced vehicles [30]. - The introduction of Horizon Robotics' HSD full-scene driving assistance system is set to make high-level intelligent driving features available in mid-range vehicles, promoting inclusivity in the market [31][33].

以下文章来源于蚀刻AiTech ，作者蚀刻团队 蚀刻AiTech . 智能驾驶十年老兵，走过四家公司，搞过芯片做过量产，写写行业新鲜事。 期待刻录AI发展的重点时刻。 从行业视角看，此事件标志着中国智能驾驶领域头部玩家的竞争烈度显著升级。过去几年，行业竞争焦点主要集中在技术路 线、量产落地速度和融资规模上，是典型的商业与技术竞争。而此次该公司通过法律手段成功对"跳槽"至直接竞争对手的前 员工进行追责并获法院支持，意味着头部玩家之间的博弈，正从单一的商业与技术维度，迅速延伸至人才保卫、商业秘密保 护及法律合规等全方位、立体化的竞争层面。 更多一手业内信息，欢迎加入自动驾驶之心知识星球... 自动驾驶之心 来源 | 蚀刻AiTech 点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近30个 方向 学习 路线 >>自动驾驶前沿信息获取 → 自动驾驶之心知识星球 本文只做学术分享，如有侵权，联系删文 据蚀刻AiTech信息报道，某头部智驾公司近日通过内部全员通告，披露了一起针对前员工违反竞业限制义务的司法追责结 果。通告显示，该前员工离职后隐匿身份加入竞对企业。该公司对此启动司法程序并追查到 ...

团队整合与成本控制：公司通过团队整合降低成本，人员规模从 4,800 人缩减至 2000 多人，同时维持客户服务和订单交付，持续降本减亏， 优化资源配置，提升运营效率。 智能驾驶业务目标：明年目标是在中高阶智能驾驶上实现 50 万台量产， 一部分软件和算法由新建制提供，助力其在港股上市，并拉动集团智能 驾驶收入至少翻倍增长，同时确保产品领先，不掉队。 数据合规业务增长：数据合规业务同比增长翻倍至 8 亿元，受益于政府 监管要求提升、自主品牌自动驾驶进度领先、以及海外市场拓展和无人 物流等新兴场景需求增加，并探索按公里数收费的新盈利模式。 公司还接收了滴滴仓架团队，并整合其高通芯片平台及泊车算法能力，从而获 得长城、北汽以及广丰等订单。 四维图新 20251224 摘要 四维图新战略转型：从高精度地图受限转向软硬件整合解决方案，聚焦 L2+级别自动驾驶，目标三年内渗透率从 20%以下提升至 50%以上， 通过与建智机器人合作，提升中高阶自动驾驶解决方案竞争力，并扩展 客户群体至东风、奇瑞等自主品牌头部企业。 收购建智机器人股份：四维图新以 2.5 亿元现金及 15.5 亿元子公司股 权，总计持有建智机器人 39 ...

Core Insights - Since mid-December 2025, there has been a surge in collaborations across robotics, intelligent driving, and new energy sectors, with multiple companies forming strategic alliances and integrating technologies to drive innovation and practical applications [2][8]. Group 1: Robotics Collaborations - Huqin Technology has officially partnered with Weita Power for a strategic collaboration in manufacturing consumer-grade intelligent companion robots, leveraging their combined strengths in R&D and mass production [2][9]. - Ningbo Huaxiang's subsidiary has signed a strategic cooperation agreement with Shenzhen Dahuang Robot Technology to collaborate on the development, manufacturing, and sales of general humanoid robot dexterous hands, showcasing the automotive parts industry's extension into robotics [3][10]. - Zhongyuan Neipei's subsidiary has reached a framework agreement with Ningbo Puzhi Future Robot Company to collaborate on humanoid robot components, focusing on joint module development and application scenarios [3][10]. Group 2: Intelligent Driving Initiatives - Guangyang Co. announced a strategic cooperation agreement with Zhejiang Konghui Automotive Technology to collaborate on intelligent driving products, particularly focusing on fully active suspension systems [2][9]. - Shanghai Baolong Automotive Technology and Infineon Technologies (China) have signed a memorandum of understanding to deepen their strategic cooperation in automotive electronics, particularly in intelligent driving and chassis solutions [3][10]. Group 3: New Energy and Infrastructure - Century Internet Group and State Power Investment Corporation have signed a strategic cooperation agreement to work on projects related to green electricity direct connection for data centers and integrated smart energy [3][10]. - Lantu Automotive has signed a ten-year deepening cooperation agreement with CATL, covering new technology applications and product supply assurance, aimed at enhancing battery technology and supply chain security [4][11]. Group 4: Industry Impact - The cross-industry collaborations are expected to enhance companies' technological reserves and market adaptability, injecting continuous momentum into the scalable and intelligent development of related industries [5][11]. - As these cooperation projects gradually materialize, they are anticipated to further promote the integration and value enhancement of artificial intelligence, green energy, and high-end manufacturing sectors [6][11].

证券日报网讯 12月24日，华依科技在互动平台回答投资者提问时表示，IMU作为智能驾驶系统中的核 心安全器件，其重要性会随智驾等级的提升而显著增强。目前，已有车企布局并落地一车两颗IMU的技 术方案。从行业技术发展趋势来看，未来随着高阶智驾的持续演进，一车搭载多颗IMU的方案具备充分 的合理性。 （编辑 丛可心 袁冠琳） ...

Core Viewpoint - The CEO of Momenta, Cao Xudong, acknowledges that while intelligent assisted driving has shown impressive capabilities, it still falls short compared to human driving skills [1][4]. Group 1: Comparison of Human and Machine Intelligence - Human intelligence can generalize from very few or even zero samples to perform new tasks effectively, a capability that machines are still improving upon [3][6]. - Currently, artificial intelligence relies heavily on extensive data and rigorous training to reach or exceed human levels of performance [3][6]. Group 2: Progress in Intelligent Assisted Driving - The speed of advancement in intelligent assisted driving is remarkable, with Momenta proposing the "Moor's Law of Intelligent Driving," suggesting that the industry will improve its capabilities by tenfold every two years [3][6]. - Leading companies in the sector may experience even greater advancements, potentially achieving improvements of 10 to 100 times within the same timeframe [3][6]. - If this trend continues, intelligent assisted driving is expected to reach and significantly surpass human levels by 2028 to 2030 [3][6].