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  1. Huxiu

    VC Money Is Chasing Entrepreneurs with Autonomous Driving Backgrounds, as Embodied Intelligence Investment Shifts Toward Commercialization

    ChinaVenture has reviewed recent embodied intelligence financing cases: Kunlun Xing Robotics completed three funding rounds in less than 90 days of its founding, with its valuation exceeding one billion US dollars, and the founders of new teams such as Feimo Yi Technology and Moqi Intelligence also mostly come from autonomous driving systems such as Huawei, Li Auto, and Horizon Robotics. The article points out that capital's focus has shifted from the general humanoid robot narrative to vertical scenarios, self-sustaining mass production, and data flywheels; meanwhile, investment cooled in the second half of the year, and investors are screening teams' mass production experience and capital structure more strictly.

    ChinaVenture has reviewed recent embodied intelligence financing cases: Kunlun Xing Robotics completed three funding rounds in less than 90 days of its founding, with its valuation exceeding one billion US dollars, and the founders of new teams such as Feimo Yi Technology and Moqi Intelligence also mostly come from autonomous driving systems such as Huawei, Li Auto, and Horizon Robotics. The article points out that capital's focus has shifted from the general humanoid robot narrative to vertical

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Saturday

  1. The Paper

    Reading listed companies' financial reports to calculate the operating economics of embodied intelligence

    Unitree Technology's 2025 revenue was 1.699 billion yuan, with net profit attributable to shareholders of 278 million yuan; its humanoid robot business generated revenue of approximately 868 million yuan and contributed gross profit of approximately 548 million yuan. UBTECH's revenue in the first half of 2026 was approximately 1.269 billion yuan, and it still recorded a loss of approximately 339 million yuan during the period. The article points out that manufacturers' financial reports cannot answer for customers whether the equipment is cost-effective; only by adding up depreciation, deployment and retrofit, operations and maintenance, manual assistance, and failure losses, then dividing by the actual volume of qualified tasks completed, can the economic viability of embodied intelligence be judged.

    Unitree Technology's 2025 revenue was 1.699 billion yuan, with net profit attributable to shareholders of 278 million yuan; its humanoid robot business generated revenue of approximately 868 million yuan and contributed gross profit of approximately 548 million yuan. UBTECH's revenue in the first half of 2026 was approximately 1.269 billion yuan, and it still recorded a loss of approximately 339 million yuan during the period. The article points out that manufacturers' financial reports cannot a

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Friday

  1. The Paper

    Behind hundreds of robot training grounds, embodied intelligence begins to recalculate the accounts

    The Paper reports that as of the end of June 2026, China had put more than 70 embodied intelligence training grounds into operation, with another 46 in the planning or construction stage. The first humanoid robot data training center in Beijing's Shougang Park had been running for less than 18 months when the original operator withdrew its own equipment and robots; the project side said the original teleoperation approach deviated from the new direction, and that data quality and precision fell short of expectations. The article notes that data collection centers are shifting from competing on production capacity to focusing on data sales rates, repurchase rates, and the capability improvements that data brings to models.

    The Paper reports that as of the end of June 2026, China had put more than 70 embodied intelligence training grounds into operation, with another 46 in the planning or construction stage. The first humanoid robot data training center in Beijing's Shougang Park had been running for less than 18 months when the original operator withdrew its own equipment and robots; the project side said the original teleoperation approach deviated from the new direction, and that data quality and precision fell

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