--- title: "Financing of $280 million, Lingchu Intelligent bets on embodied intelligence \"brain\"" type: "News" locale: "en" url: "https://longbridge.com/en/news/279386785.md" description: "Lingchu Intelligent Technology Co., Ltd. successfully completed 2 billion yuan (approximately 280 million USD) in angel round and Pre-A round financing two years after its establishment, demonstrating strong capital interest in embodied intelligent technology. The timing of this financing coincided with China's Two Sessions, highlighting the government's emphasis on the artificial intelligence and robotics industry. Lingchu Intelligent plans to use the funds to enhance the fundamental capabilities of robot operations, particularly in logistics scenarios and data collection systems" datetime: "2026-03-17T07:35:53.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/279386785.md) - [en](https://longbridge.com/en/news/279386785.md) - [zh-HK](https://longbridge.com/zh-HK/news/279386785.md) --- # Financing of $280 million, Lingchu Intelligent bets on embodied intelligence "brain" _This startup, which focuses on the "small full-stack" model, is betting on embodied robots, as well as the artificial intelligence models and related services needed to train and maintain their operation._ #### Key Points: - Lingchu Intelligent's 2 billion yuan angel round and Pre-A round financing highlights the rapid influx of capital into this field as China heavily invests in embodied intelligence technology. - For investors, the bigger bet may not be on the eye-catching robots themselves, but on the data, training loops, and deployment systems that enable robots to find real applications in the real world. Hu Minghe Robots are not a new concept for investors; what is truly new is the scale of capital investment. Increasing amounts of funding are flowing to companies that combine rapidly advancing artificial intelligence agents with machines capable of performing real tasks in the real world. This also explains why the embodied intelligence startup Beijing Lingchu Intelligent Technology Co., Ltd. was able to raise as much as 2 billion yuan (approximately 280 million USD) in its angel and Pre-A rounds just two years after its establishment. When the company **announced its financing news** last week, it did not disclose its valuation, but the scale of this financing is still quite remarkable for such a young company. According to IDC data, global sales of humanoid robots are expected to be only 440 million USD by 2025. Equally important as the amount of financing is the timing of the announcement. Symbolically, Lingchu Intelligent announced its financing news on March 10, coinciding with China's annual Two Sessions. This is the peak moment of China's annual political cycle, where the government discusses policy priorities for the coming year. This year's meeting is particularly significant as the 14th Five-Year Plan was announced, reiterating the importance of artificial intelligence, robotics, and the implementation of related industries. In this context, Lingchu Intelligent's financing appears not only as a vote of confidence in a startup but also aligns with the overall direction of policymakers and investors pushing artificial intelligence from the conceptual stage into the real economy. This shift is precisely the core value emphasized by Lingchu Intelligent. Rather than joining the competition to create various showcase embodied models that can dance or perform martial arts, the company states that the new round of financing will primarily support the foundational capabilities that truly enable robots to operate, including larger-scale logistics scenario deployments and the construction of large-scale data collection systems. Lingchu Intelligent positions itself as neither a pure software company nor a fully vertically integrated hardware manufacturer. Instead, the company proposes a so-called "small full-stack" model: maintaining control over key aspects of hardware design, such as robot structure, range of motion, and degrees of freedom, while outsourcing the production of core components and complete machine manufacturing to specialized suppliers. This division of labor is very clear, allowing the company to master the core capabilities of system design and tuning without bearing the high costs associated with complete independent design and manufacturing. In practical applications, the biggest challenge facing the next generation of practical robots may not be to manufacture stunning machines themselves, but rather how to collect sufficiently high-quality data to ensure these machines can operate reliably in complex and chaotic real-world environments. For large language models, the internet itself serves as a vast repository that can provide the information needed for training However, robots do not have such readily available resources; they need to learn through simulation, remote operation, and real-world usage, making the data collected itself a strategic asset. Well-funded competitors have begun to combine simulated data, human action videos, and feedback from deployed robots to establish a larger training loop. Lingchu Intelligent's system seems to hope to achieve similar capabilities by building a scalable and repeatable learning pipeline. #### **Practical Implementation** This emphasis on practical implementation is an important distinction between Lingchu Intelligent and some more headline-grabbing embodied robot startups. Recently, embodied robots have garnered significant attention, especially after making an appearance on CCTV's Spring Festival Gala during this year's Lunar New Year, becoming a focal point. However, market enthusiasm often does not align with commercial reality. Tesla's Optimus remains the most representative symbol in this race, but meaningful mass production scale is still expected to wait until later this year. In contrast, Lingchu Intelligent seems to believe that some less flashy tasks, particularly logistics and operational tasks, are more likely to bring early revenue sources. The company not only bets on its own embodied robot hardware but also provides general embodied intelligence capabilities, including large-scale vision-language-action (VLA) models and dexterous manipulation algorithms for other robot developers to use. The company's list of investors also confirms this direction, with the angel round attracting participation from state-owned backgrounds and industrial capital, including Guokai Financial, Guozhong Capital, and an industrial fund related to CCTV. The Pre-A round introduced Xuhui Capital, backed by Shanghai state assets, local government funds, market-oriented funds, and additional investments from existing shareholders. For a young company, this is a significant endorsement. The background of the founding team is also noteworthy; founder Wang Qibin has over twenty years of hardware and commercialization experience and was responsible for JD.com's robotics business. The company also mentioned a joint laboratory established with Peking University, focusing on research in embodied dexterous manipulation, adding an academic layer to its commercial narrative. The broader market environment is also becoming favorable. IDC states that global humanoid robot shipments are expected to reach approximately 18,000 units by 2025, a year-on-year increase of 508%, with Chinese manufacturers taking the lead in large-scale deliveries. This indicates that the industry is beginning to find commercial buyers outside of laboratories, explaining why investors are suddenly willing to invest significant funds in this field. Overseas, companies like Figure AI and Skild AI have also raised substantial funds around similar humanoid robots and robotic intelligence concepts. Lingchu Intelligent's new financing aligns perfectly with this broader wave of capital. Nevertheless, the industry is still in its early stages. Current demand is primarily concentrated in entertainment performances, education and research, and data collection, rather than large-scale industrial deployment. At the same time, the business model is gradually shifting from one-time hardware sales to service, maintenance, and platform products that can generate continuous revenue. This is particularly important for Lingchu Intelligent, as the company bets that data and training infrastructure may become a source of sustained value creation, providing stable income rather than just one-time equipment sales Nevertheless, large-scale financing is not entirely equivalent to a sustainable business model. Lingchu Intelligent stated that the company has moved out of the laboratory, deploying products in semi-structured logistics scenarios such as clothing warehouses, allowing robots to perform tasks like barcode scanning and multi-category sorting. These types of repetitive yet variable work scenarios are often the application cases that investors are most concerned about, as they are closer to true commercialization than demonstrative showcases. However, the company still needs to prove whether these early pilot projects can ultimately be transformed into large-scale deployments that generate substantial revenue. Looking ahead, a bigger question is where the long-term value of embodied intelligence will ultimately land. The obvious winners may be those companies that manufacture the robotic bodies. But an equally important group of companies may be the third-party service providers that offer data, training, and deployment systems, which can help robots complete training and continuously enhance their capabilities in practical use. This seems to be the value layer that Lingchu Intelligent is targeting. If the company can convert deployments into sustainable repeat business, then the large-scale financing completed at such an early stage may turn out to be a successful bet on the true value of embodied intelligence in the future. However, if it fails to do so, its case will once again remind the market that the development of physical artificial intelligence is a business full of uncertainties, and investors often need to speculate on market trends, which does not always lead to success ### Related Stocks - [603901.CN](https://longbridge.com/en/quote/603901.CN.md) - [300091.CN](https://longbridge.com/en/quote/300091.CN.md) ## Related News & Research - [13:41 ETUT Haslam Marks Decade in Major International Ranking's Top Five U.S. Public Schools](https://longbridge.com/en/news/286804132.md) - [05:30 ETOptical Transport Equipment Market Forecast to Grow 16 Percent in 2026, According to Dell'Oro Group](https://longbridge.com/en/news/286887095.md) - [Sparebanken Øst Buys Back Equity Certificates for Employee Savings Scheme](https://longbridge.com/en/news/286813438.md) - [Veros Among Initial Industry Leaders to Implement the MISMO® Common Confidence Score](https://longbridge.com/en/news/287037934.md) - [Research Alert: CFRA Maintains Hold Opinion On Shares Of Baidu](https://longbridge.com/en/news/286812047.md)