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具身智能开年最大融资,字节红杉领投10亿
量子位· 2026-01-12 06:25
Core Viewpoint - The article highlights the ongoing momentum in the field of embodied intelligence, particularly focusing on the recent A++ funding round of X Square Robot, which raised 1 billion yuan, indicating strong investor confidence in the company's technology and market potential [2][8]. Funding and Investment - X Square Robot recently completed a 1 billion yuan A++ funding round led by ByteDance and Sequoia China, with participation from top institutions and local platforms [2]. - The company has received investments from major players like Meituan and Alibaba, making it the only embodied intelligence company backed by these three internet giants [3]. - Over the past year, X Square Robot has completed multiple funding rounds, including A+, A, Pre-A++ and Pre-A+++ rounds, showcasing a clear upward trend in financing as technology and products advance [4][5]. - The total funding raised by X Square Robot has exceeded 3 billion yuan across 9 rounds since its establishment, reflecting strong recognition of its independent foundational model technology in embodied intelligence [15]. Technology and Product Development - X Square Robot focuses on self-developed "general embodied intelligence models," with a clear technological path established from the outset [16][17]. - The company has developed the WALL-A series of VLA operational models, integrating perception, understanding, decision-making, and action output into an end-to-end model [20][21]. - The WALL-A model was released in October 2024 and became one of the largest end-to-end unified embodied intelligence models globally, with the WALL-OSS model ranking third in a recent RoboChallenge [22]. - On the hardware side, X Square Robot is advancing two generations of embodied robots, Quantum One and Quantum Two, designed for different operational capabilities [23][25]. Business Strategy - The company adopts a sustainable evolution approach, focusing on building a foundational model that learns in the real physical world, with hardware supporting the model and data feeding back into model iterations [27]. - This strategy has garnered continuous attention and investment from the capital market and industry, indicating a strong belief in the company's long-term vision and capabilities [28].
阿里云首次出手具身智能公司 自变量机器人完成近10亿元A+轮融资
Mei Ri Jing Ji Xin Wen· 2025-09-08 02:58
Core Insights - The company Zibian Robot has recently completed nearly 1 billion yuan in A+ round financing, led by Alibaba Cloud and Guoke Investment [1] - This marks Alibaba Cloud's first investment in a physical intelligence company, which will provide multi-dimensional support to Zibian Robot [1] - The funds will be used for the continuous training of Zibian Robot's self-developed universal physical intelligence foundational model and the iterative development of hardware products [1] Investment Details - The financing round also saw participation from Guokai Financial, Sequoia China, and Yongce Capital, with existing shareholder Meituan exceeding its follow-on investment [1] - Lenovo Star and Junlian Capital continued to invest in this round [1]
自变量机器人获近10亿元A+轮融资
Bei Jing Shang Bao· 2025-09-08 02:08
Group 1 - The company, Zibian Robotics, announced the completion of nearly 1 billion yuan in A+ round financing on September 8 [1] - The financing round was led by Alibaba Cloud and Guoke Investment, with participation from Guokai Financial, Sequoia China, and Yongce Capital [1] - Existing shareholder Meituan's strategic investment exceeded expectations, while Lenovo Star and Junlian Capital continued to invest [1] Group 2 - The funds will be used for the continuous training of Zibian's self-developed general embodied intelligence foundational model and the iterative development of hardware products [1] - Since its establishment at the end of 2023, Zibian has established a technical path to achieve general embodied intelligence through an end-to-end unified large model [1] - Recently, the company released the Quanta X2, a self-developed wheeled dual-arm humanoid robot that is compatible with multimodal large model control [1]