Core Insights - The article discusses the recent completion of nearly 100 million yuan in Pre-A++ financing by Qianjue Technology, focusing on its advancements in embodied intelligence and autonomous robotics [5][7]. Financing Information - Financing Round: Pre-A++ - Amount Raised: Nearly 100 million yuan - Investors: Six well-known investment institutions and existing shareholders participated; Maple Pledge serves as the private equity financing advisor [7]. Company Overview - Founded: June 2023 - Location: Beijing, incubated from Tsinghua University's Brain-like Center - Focus: Development and application of decision-making and planning models in the field of embodied intelligence, aiming to surpass traditional robotic task limitations [9][10]. Technology and Innovation - Qianjue Technology employs a brain-like partition architecture, decomposing complex tasks into collaborative working areas for perception, decision-making, and action, rather than relying on a single large model [10]. - The company has completed pre-training for three generations of its "embodied brain," capable of autonomous operation without human prompts or programming [10][11]. Market Potential - According to QYResearch, the global market for general-purpose brains in embodied intelligent robots is expected to grow at a compound annual growth rate (CAGR) of 52.0% from 2025 to 2031 [13]. - Goldman Sachs projects that the humanoid robot market could reach a valuation of $38 billion by 2035, driving demand for embodied brains [13]. Business Progress - Qianjue's solutions have been adapted for various robot types, including bipedal humanoids, wheeled robots, drones, and robotic vacuum cleaners, with some projects already in large-scale application [15][17]. - The company anticipates that the number of robots equipped with its "embodied brain" will exceed 100,000 units by 2026 [15]. Product Development - The self-developed robot brain system, Polibrain OS, is in the external validation phase, aiming to provide a reusable and scalable intelligent base for various robot forms [17]. - The unified perception layer of Polibrain OS has been completed and is set for external testing [17]. Founder Insights - The core advantages of Qianjue's solution include no need for physical modifications to the environment and the ability to efficiently respond to unexpected situations due to its autonomous decision-making model [19][20]. - The largest application scale is in semi-service and household cleaning scenarios, where the robots' operational requirements are relatively low [21][24]. Adaptability and Customization - Qianjue's embodied brain is a standardized core product that integrates spatial understanding and operation capabilities, allowing for targeted enhancements based on specific customer needs [25]. - An automated training data pipeline has been established to quickly adjust the model's perception capabilities in response to performance fluctuations in diverse real-world environments [25].

Core Insights - Beijing Qianjue Technology Co., Ltd., incubated from Tsinghua University's Brain-like Center, successfully completed nearly 100 million yuan in Pre-A++ financing, with funds aimed at technology R&D, team expansion, and global commercialization [1] - The company focuses on the development and application of embodied intelligence decision-making and planning models, adopting a unique brain-like partition architecture that simulates human brain functions [1][2] - Qianjue Technology has completed three generations of "embodied brains," capable of independent "perception-decision-action" cycles without human intervention, and has built the largest known dataset for household scenarios [2] Technology and Product Development - The company has developed an automated training data pipeline that allows clients to specify functional requirements, enabling automated fulfillment without complex manual operations [2] - Qianjue Technology's embodied solutions are compatible with various robot forms, including bipedal humanoids, wheeled robots, drones, and vacuum cleaners, with some projects already in large-scale application [3] - The Polibrain OS system is in the external validation phase, aiming to provide a reusable and scalable intelligent base for multiple robot forms [7][8] Market Potential - The global market for embodied intelligence robot general brains is projected to grow at a compound annual growth rate (CAGR) of 52.0% from 2025 to 2031, with humanoid robots expected to reach a valuation of $38 billion by 2035 [3] - Qianjue Technology's solutions are particularly suited for scenarios requiring high autonomy but lower operational dexterity, such as cleaning and hospitality services [9][11] Competitive Advantages - The company's solutions do not require physical modifications to the client's operational environment, addressing a key barrier to market penetration [8] - Qianjue Technology's embodied brain is designed to be a dynamic, self-evolving system that can adapt to various robots and environments, enhancing its competitive edge [8][9]

Financing Information - Beijing Qianjue Technology Co., Ltd. has recently completed a nearly 100 million yuan Pre-A++ round of financing, with participation from six well-known investment institutions and existing shareholders [1] - The funds will primarily be used for technology research and development, core team expansion, and global commercialization [1] Company Overview - Established in June 2023 and incubated from Tsinghua University's Brain-like Center, Qianjue Technology focuses on the research and application of decision-making and planning models in the field of embodied intelligence [1] - The company aims to break through traditional robotic task limitations and achieve fully autonomous operation and dynamic environmental response [1] Technology and Product Development - Qianjue Technology has completed pre-training for three generations of its "embodied brain," which can autonomously perform a full closed-loop of "perception-decision-action" without human prompts or programming [2] - The company has built the largest known dataset of pure real-world family scenarios, accumulating over 100 million pieces of embodied perception and decision-making pre-training data [4] - An automated training data pipeline has been established to lower the application threshold for robots, allowing clients to specify functional requirements without complex manual operations [4] Market Potential - According to QYResearch, the global market for general-purpose brains in embodied intelligent robots is expected to grow at a compound annual growth rate of 52.0% from 2025 to 2031 [5] - Goldman Sachs projects that the humanoid robot market will grow annually, potentially reaching a valuation of $38 billion by 2035, which will drive demand for embodied brains [5] Business Progress - Qianjue Technology's solutions have been adapted for various mainstream robot forms, including bipedal humanoids, wheeled robots, drones, quadrupeds, and vacuum cleaners, with some projects entering large-scale application phases [6] - The company expects to have over 100,000 robot devices equipped with its "embodied brain" by 2026 [6] System Development - The self-developed robot brain system, Polibrain OS, is entering external validation, aiming to provide a reusable and scalable intelligent base for various robot forms [7] - The unified perception layer of Polibrain OS has been completed and is set for controlled external validation [7] Competitive Advantages - Qianjue Technology's solutions do not require physical modifications to the environments of downstream clients, addressing a key bottleneck in robot market penetration [9] - The core capability of the company's brain is built on autonomous decision-making models, allowing for more efficient responses to unexpected situations compared to traditional rule-based systems [9] Application Scenarios - The largest application scale for Qianjue's solutions is in semi-service and household cleaning scenarios, where the operational requirements for robots are relatively low [11] - The company's solutions are particularly suited for scenarios that prioritize generality and autonomy over dexterity and efficiency, such as cleaning and hospitality robots [13]