物理世界通用智能
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轻舟智航于骞:今年轻舟城市NOA计划上车50款,要做自动驾驶领域的DeepSeek
IPO早知道· 2026-01-23 11:50
于骞博士认为,无人驾驶并非终局,而是通往"物理世界通用智能"的钥匙。 本文为IPO早知道原创 作者| Stone Jin 微信公众号|ipozaozhidao 据IPO早知道消息,轻舟智航(QCraft,以下简称"轻舟")于1月23日在QCraft DAY 2026上宣 布, 截至 2026年1月,轻 舟乘用车辅助驾驶系统搭载量正式突破100万台,标志着轻舟智航正式 迈入规模化落地新阶段。 据轻舟智航联合创始人、董事长兼CEO于骞博士介绍,轻舟从2021年底开始布局L2++,50万的量 产交付,用了近3年的时间;从50万到100万台,只用了8个月。 同时,轻舟智航还发布了2025年至2027年的产品演进路线图,勾勒出从高阶辅助驾驶到无人驾驶规 模化运营的落地路径。面向L4领域,轻舟以"开放共赢,让每个伙伴都能轻松拥抱L4"为理念, 宣布 进军L4无人物流万亿级赛道, 携手主机厂等合作伙伴共创"量产即运营"新范式。 目前,轻舟已与奇瑞商用车达成战略合作,共同打造面向规模化量产的L4无人物流产品与服务标 杆,亦已在金华、芜湖、宁波等多地开展无人物流车的部署运营。于骞也进一步透露:"目前在无人 物流领域已有更多生态 ...
极佳视界官宣数亿融资,以世界模型迈向“物理世界chatGPT时刻”
Sou Hu Cai Jing· 2025-08-28 07:29
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]