Core Viewpoint - The article discusses the recent financing round of GigaVision, highlighting its focus on physical AI and the development of world models that drive general intelligence in the physical world. The company has completed three rounds of financing within two months, indicating strong investor interest and confidence in its technology and market potential [2][4]. Financing and Company Background - GigaVision has successfully completed a new round of financing amounting to hundreds of millions, led by Huawei Hubble and Huakong Fund. This follows two previous rounds of financing in August, also totaling hundreds of millions [2]. - Founded in 2023, GigaVision focuses on physical AI and offers a range of products including the GigaWorld platform, GigaBrain model, and Maker ontology [2][4]. Team and Expertise - The core team of GigaVision is closely associated with Tsinghua University's Automation Department and includes top researchers from prestigious institutions and executives from leading companies like Baidu and Microsoft. The team has published over 200 top AI papers and won numerous global AI competition awards [4]. World Model Technology - GigaVision emphasizes the immediate value of world model technology, which addresses issues such as high-dimensional data scarcity and the Sim2Real gap in traditional simulators. This technology allows AI to model physical environments digitally, improving decision-making and reducing trial-and-error in unfamiliar settings [6][9]. - Major tech companies like NVIDIA, Google DeepMind, and Tesla are also investing in world model applications, indicating its significance in the industry [6][7]. Future Predictions and Goals - GigaVision's CEO predicts that a "Physical World ChatGPT moment" will occur within 2 to 3 years, driven by advancements in world models, VLA, and reinforcement learning, aiming for a 95% success rate in 90% of common tasks [8][14]. - The company aims to create a high-availability world model system that can learn from limited real data, generate high-fidelity synthetic data, and enhance the realism of generated data through multi-modal feedback [9][10]. Collaborations and Market Strategy - GigaVision has established deep collaborations with various humanoid robot innovation centers, research institutions, and cloud computing companies to build a leading data factory and physical AI platform [13]. - The company plans to continue advancing physical AI model development and commercial applications, focusing on a three-pronged approach of "intelligence - ontology - scenarios" to accelerate the realization of its vision [14].

根据现有技术进展速度，黄冠预测称，"物理世界ChatGPT时刻"将在2至3年内到来。 11月3日，记者获悉，具身智能基础模型企业极佳视界近日完成新一轮亿元级A1轮融资，本轮融资由华 为哈勃、华控基金联合投资。此前8月底，极佳视界宣布完成Pre-A&Pre-A+连续两轮数亿元融资。 极佳视界成立于2023年，聚焦物理AI，专注于"世界模型驱动的物理世界通用智能"。其产品包括世界模 型平台GigaWorld(驾驶和具身)、具身基础模型GigaBrain、通用具身本体Maker等物理AI全栈软硬件产 品。 极佳视界认为，世界模型的技术兑现不必等到明年，其技术价值已在当前阶段展现：不仅在高维高质量 数据稀缺、传统仿真器Sim2Real Gap两大问题上产生改善，也对强化学习训练效果带来提升。 极佳视界创始人兼CEO黄冠表示，"无论从真实业务与技术需求，还是产业与学术层面的共识看，世界 模型已成为具身智能关键且热门的方向。华为也将世界模型列为未来智能世界2035年十大技术趋势之 首，这也是投资极佳视界的底层逻辑。"另外不光投资，华为也从多个业务线和极佳推进战略合作。 具体而言，世界模型将主要解决泛化性，同时VLA负责解 ...

突破三大技术瓶颈，极佳视界推出高可用世界模型体系。 当AI能力开始与物理世界连通，"具身智能"成为落地载体。 今年以来，"世界模型"在具身领域快速升温：谷歌、OpenAI、特斯拉、英伟达等巨头密集布局。 多位业内人士判断，世界模型将会缓解具身智能在数据稀缺与泛化困难上的瓶颈，极可能在VLA之 后，成为2026年的核心技术趋势。 在这一背景下，专注世界模型方向的物理AI公司——极佳视界，在近两个月内连续完成三轮融资，并 宣布最新进展。 据《智能涌现》获悉，极佳视界近日完成新一轮亿元级A1轮融资，本轮融资由华为哈勃、华控基金联 合投资。此前8月底，极佳视界宣布完成Pre-A&Pre-A+连续两轮数亿元融资。 通俗讲，世界模型是在数字世界里建模物理世界和运行规律：让AI在动手前，先在"脑内"搭建简化的物 理沙盒，预测下一秒会发生什么并据此选择执行动作，从而在陌生环境中少试错、更稳健。 2个月3轮融资，体现了资本市场对极佳视界团队实力、技术路线和业务推进的认可，也折射出投资方 对"物理世界通用智能"（物理AI）关键转折点的判断。 成立于2023年的极佳视界，聚焦物理AI，专注于"世界模型驱动的物理世界通用智能"。其产 ...

Core Viewpoint - The article highlights the successful completion of several rounds of financing by Beijing Jiajia Vision Technology Co., Ltd. (referred to as "Jiajia Vision"), a leading domestic company in the field of Physical AI, amounting to several hundred million yuan in Pre-A and Pre-A+ rounds, indicating a growing interest and investment in the Physical AI sector [2][4]. Financing Overview - Jiajia Vision completed two rounds of financing on August 28, 2025, raising several hundred million yuan, with the Pre-A round led by Guozhong Capital and followed by Zifeng Capital and PKSHA Algorithm Fund, while the Pre-A+ round was backed by CICC Capital, Guangzhou Industrial Investment, Yicun Songling, and Huqiang Capital [2][3]. - The company has now completed a total of six financing rounds, with the last round prior to this being a several tens of millions yuan angel round in February 2025 [4]. Company Background - Founded in June 2023 and based on the intelligent vision laboratory of Tsinghua University, Jiajia Vision initially focused on spatial intelligence but has since shifted to Physical AI, specializing in "world model platforms and embodied foundational models" [5][6]. - The company aims to accelerate the development of general intelligence in the physical world through its products, which include the GigaWorld world model platform and GigaBrain embodied foundational model [6][11]. Technology and Product Development - Jiajia Vision's products are designed to enable robots, autonomous vehicles, and intelligent spaces to perceive, understand, and execute complex operations in the real world, marking a significant advancement in the Physical AI field [6][12]. - The GigaBrain-0 model, released in July 2025, utilizes over 90% of its training data generated from Jiajia Vision's self-developed world model platform, showcasing a significant efficiency advantage over traditional data collection methods [12]. Market Position and Collaborations - The company has established partnerships with leading enterprises in various sectors, including intelligent driving and embodied intelligence, to facilitate large-scale industrial applications [9][18]. - Jiajia Vision is recognized as the first domestic startup focusing on world models and is positioned at the forefront of this emerging field [6][17]. Leadership and Team - The core team includes experienced professionals with backgrounds in AI and robotics, such as the founder and CEO Huang Guan, who has over ten years of experience in AI technology and industry [10][11].

Core Insights - Physical AI company, GigaVision, has successfully completed two rounds of financing totaling several hundred million yuan, indicating strong market recognition of its team, technology, and product progress [2] - The company aims to accelerate towards general intelligence in the physical world through its world model-driven foundational models [2][3] Financing and Investment - GigaVision completed Pre-A and Pre-A+ financing rounds led by various investment firms, including Guozhong Capital and CICC, showcasing investor confidence in its capabilities [2] - The company has raised significant funds in multiple rounds, including a recent angel round, reflecting robust investor interest [2] Technology and Product Development - GigaVision focuses on "world model-driven physical world foundational models," with products like GigaWorld and GigaBrain, which are designed to enhance physical AI capabilities [2][10] - The company is positioned as a leader in the world model and VLA (Vision-Language-Action) model sectors, with ongoing collaborations with major automotive and robotics companies [5][16] Market Position and Vision - GigaVision is recognized as the first domestic company specializing in world models, aiming to lead technological advancements and industry applications [5] - The company envisions a "ChatGPT moment" for the physical world within 2-3 years, predicting significant breakthroughs in physical AI technology and applications [3][4] Team and Expertise - The core team comprises top researchers and industry experts from prestigious institutions, contributing to GigaVision's strong research and development capabilities [6][7] - The leadership team has extensive experience in AI and has achieved numerous accolades in global AI competitions, enhancing the company's credibility [6][7] Strategic Partnerships and Collaborations - GigaVision has established partnerships with leading automotive manufacturers and robotics centers to facilitate large-scale production and application of its technologies [16] - The company is actively pursuing collaborations to explore the deployment of embodied intelligence across various sectors, including industrial and consumer markets [16][20] Future Outlook - GigaVision plans to utilize the recent funding for technology development and market expansion, aiming to enhance customer delivery and accelerate towards the physical world ChatGPT moment [17] - The company is committed to achieving world-class technological breakthroughs in world models and embodied intelligence, with a focus on creating social value [21]

Core Insights - Physical AI company, 极佳视界, has completed multiple rounds of financing totaling several hundred million yuan, indicating strong market recognition of its team, technology, and product progress [2][3][18] - The company focuses on "world model-driven physical world foundation models" and aims to accelerate towards general intelligence in the physical world [2][3] Financing and Market Position - The Pre-A round was led by Guozhong Capital, with participation from Zifeng Capital and PKSHA Algorithm Fund, while the Pre-A+ round included investments from CICC Capital and others [2] - The company has completed three rounds of financing within six months, showcasing investor confidence in its capabilities [2][3] Product Development - The product lineup includes the GigaWorld platform, GigaBrain embodied foundation model, and other full-stack Physical AI products [3][11] - GigaBrain-0, set to be officially released in September 2025, is the world's first world model-driven embodied foundation model, achieving significant data generation breakthroughs [11][12] Technological Advancements - The company believes that the "world model + VLA + reinforcement learning" paradigm will lead to a "ChatGPT moment" in the physical world within 2-3 years, significantly impacting AI technology and applications [3][4] - The world model is seen as a solution to data bottlenecks in physical world general intelligence, with the potential to achieve a 95% success rate in 90% of common tasks [4][9] Team and Expertise - The core team consists of top researchers from Tsinghua University and other prestigious institutions, with extensive experience in AI and robotics [6][7] - CEO Huang Guambo has a strong background in AI competitions and has led teams to achieve global recognition [7][21] Industry Collaboration - The company has established partnerships with leading robotics and automotive manufacturers for production cooperation [5][17] - It aims to accelerate the commercialization of physical world general intelligence through extensive industry collaborations [17][20] Future Outlook - Investors express confidence in the company's ability to lead in the embodied intelligence and robotics sectors, highlighting its technological depth and industry experience [19][21] - The company is positioned to capitalize on the growing market for embodied intelligence and robotics, with expectations for significant advancements in the coming years [20][21]

Core Insights - Physical AI company, 极佳视界, has completed three rounds of financing within six months, raising hundreds of millions in total [1][2] - The company focuses on world model-driven physical world foundational models, aiming to accelerate the development of general physical intelligence [1][2] - The core team consists of top researchers from Tsinghua University and other prestigious institutions, with significant industry experience [2][6] Financing and Investment - The Pre-A round was led by Guozhong Capital, with participation from Zifeng Capital and PKSHA Algorithm Fund, while the Pre-A+ round included investments from CICC Capital and others [1] - The company also secured tens of millions in angel financing in February 2025, indicating strong investor confidence [1] Technology and Product Development - 极佳视界's products include the GigaWorld platform and GigaBrain foundational model, which are designed to address data bottlenecks in physical AI [1][3] - The GigaBrain-0 model, launched in July 2025, utilizes over 90% self-generated data, showcasing significant advancements in data sourcing and cost efficiency [3] - The company aims to achieve a "ChatGPT moment" for the physical world within 2-3 years, driven by advancements in world models and reinforcement learning [2][3] Industry Position and Collaborations - The company is actively collaborating with leading automotive manufacturers and AI chip companies, indicating a strong market presence [4] - Partnerships with humanoid robot innovation centers and training facilities are being established to enhance practical applications of their technology [4] - Investors express optimism about the company's potential to fundamentally solve data and model challenges in embodied intelligence [4][5] Vision and Future Goals - The CEO emphasizes the company's commitment to achieving world-class technological breakthroughs in physical AI and creating social value [6] - The company aims to continuously innovate in the fields of world models and embodied intelligence, positioning itself as a representative enterprise in the AI sector [6]