Lingchu Intelligence has completed a 2 billion yuan financing round, receiving significant investment from 'national team' capital, driving high-quality development of China's embodied intelligence | Huaxing Transactions

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Lingchu Intelligence has completedangel round and Pre-A roundTotalingRMB 2 billionfinancing.

The angel round was led byCDB Capital, Guozhong Capital, CCTV Media Integration Industry Investment Fund, and othernational 'state-owned' capital,a strategic investment arm of a listed company worth hundreds of billions, a fund under Changfei Optical Fiber, two leading industrial capital giants, and Waldor, among others,well-known industrial capital, as well asYuanSheng Ventures, Zhuhai Technology Industry Group, Junshan Investments, Yanyuan Ventures, Rice Capital, Wofu Capital, BinFu Capital, and others.Multiple well-known funds have jointly invested.

The Pre-A round was led byShanghai State-owned Assets Xuhui Capital and otherswith the funds taking the lead in the investment,Liangxi Science and Innovation Phase II Mother Fund (managed by Bohua Capital), Xichuang Investment, and other local state-owned assets, as well asPufeng Capital, Titanium Capital, and othermarket-oriented funds following up on the investment. Multiple existing shareholders achieved over-subscription in follow-up investments.Huaxing Capital served as the exclusive financial advisor.

The current financing progress indicates that Lingchu Intelligence has gained strong support from state-owned assets and industrial capital, emerging as a core innovative force under the national embodied intelligence strategic layout. This funding will be allocated to Lingchu Intelligence's large-scale application in logistics scenarios and the construction of a comprehensive data collection solution system.

Lingchu Intelligence was founded in 2024. The seed round was funded by Hillhouse Ventures, BlueRun Ventures, and Zhiyuan Robotics. The core founding team brings together top industry talents, including Dr. Wang Qibin, who has years of experience leading robotics ventures, Stanford University visiting scholar and Gen-Z entrepreneurial pioneer Chen Yuanpei, and Dr. Chai Xiaojie, who possesses deep algorithmic expertise in robotics and autonomous driving. The company has also established the PKU-Lingchu Intelligence Joint Laboratory for Embodied Dexterous Manipulation in collaboration with Peking University and appointed Yang Yaodong, Assistant Professor at Peking University's Institute of Artificial Intelligence (Boyah Scholar), as Chief Scientist.

As the team with the highest density of industry scientists, Lingchu Intelligence has been committed to solving the dexterous operation challenges of embodied intelligence since its inception. The company builds its software toolchain around an end-to-end VLA model and efficiently acquires real interaction data through its self-developed Psi-SynEngine embodied data collection engine, significantly reducing acquisition costs. Currently, Lingchu Intelligence has completed small-scale scenario validation in real logistics customer warehouses, achieving a substantial breakthrough in sorting efficiency.

The 'national team' and industrial capital have jointly invested, providing dual empowerment to Lingchu Intelligence.

At the national policy level, embodied intelligence has been included in government work reports for two consecutive years and identified as one of the key development directions for future industries. In recent years, the State Council and related ministries have repeatedly mentioned frontier fields such as 'embodied intelligence' and 'intelligent robots' in government work reports and industrial policy documents, emphasizing the deep integration of artificial intelligence with manufacturing, improving robots' autonomous decision-making and reliable execution capabilities in complex environments, accelerating the establishment of industry standards systems, and promoting equipment products toward high-end and intelligent directions. From systematic deployment during the '14th Five-Year Plan' period regarding the intelligent transformation of robots to currently positioning embodied intelligence as a critical area for fostering new productivity, national policies are increasingly focused on addressing the practical application issues of robots in unstructured scenarios.

Currently, state-owned investment closely aligns with national policy directions, focusing on the implementation of core technologies and the secure development of industries.Guided by a passion for innovation and a cool-headed assessment of the industry, Lingchu Intelligence is deeply engaged in the practical industrial implementation of embodied intelligence, which is precisely the core evaluation given by the capital market.Lingchu Intelligenthas consecutively received investments from multiple state-owned entities,marking the deep recognition of Lingchu Intelligence's technical path by the state-owned system, becoming a backbone force in national embodied intelligence efforts.

Building the 'data flywheel' of embodied intelligence

At this stage, competition in embodied intelligence essentially revolves around high-quality data. Lingchu Intelligence believes that simulated data from laboratories cannot fully replace physical interactions in the real world. Therefore, 'real-person data collection' has become one of the core focuses of this round of financing.

Lingchu Intelligence has developed its proprietary Psi-SynEngine embodied data collection engine, which is capable of acquiring massive amounts of high-quality real-world scenario data at a cost far lower than traditional teleoperation methods. This extreme cost advantage has become the core competitiveness of the solution. Lingchu Intelligence CEO Wang Qibin mentioned, 'The comprehensive cost of collecting data through gloves can be reduced to about one-tenth of the true machine teleoperation solution. In the future, Lingchu Intelligence plans to launch a portable crowdsourced version, which is expected to further reduce this cost, removing economic barriers for collecting embodied million-hour-level datasets.'

By 2026, Lingchu Intelligence plans to construct and complete the largest dexterous hand dataset in the country, laying a solid data foundation for embodied intelligence to transition from technological leadership to a commercial closed loop.

· Focused on the 'embodied brain,' allowing 'dexterous manipulation' to solve more complex problems

In response to the current industry landscape with diverse hardware developments, Lingchu Intelligence has clarified its strategic positioning as a 'small full-stack' company. Since its establishment, Lingchu Intelligence's research and development focus has been on building a software and toolchain system centered around an end-to-end VLA model, targeting semi-structured logistics and retail scenarios. Leveraging their high-frequency generalization needs, it demonstrates the unique value of embodied intelligence in non-standard automation fields.

During the past few years of logistics automation progress, the industry has evolved from 'manual handling' to 'AGV/AMR movement.' However, processes heavily reliant on manual dexterity, such as 'sorting, picking, and packaging,' remain the final stronghold limiting full-process automation. By 2026, Lingchu Intelligence will further promote the implementation of embodied intelligence in complex logistics environments, advancing procedural delivery, and aiming to bring humanoid robots into factories and markets. This is another major focus of the current financing round.

Lingchu Intelligence CEO Wang Qibinstated, 'We thank the 'national team' capital, industrial capital, and all new and existing shareholders for their trust and long-term support. We firmly believe that the true breakthrough in robotics comes from the accumulation of real-world data and the continuous iteration of model capabilities. Lingchu Intelligence will build a data flywheel centered around human multimodal data, enabling robots to possess genuine dexterous manipulation abilities.'

Kun Xu, Business Partner of Huaxing Capital's Investment Banking Divisionstated, 'Lingchu Intelligence represents one of the very few teams in the field of embodied intelligence that possesses both technical breakthrough capabilities and a realistic commercial implementation path. The company takes reinforcement learning as its core technology route, and its self-developed Psi-R1 model is the first to achieve a closed-loop architecture for long-term planning based on CoAT and exhibits significantly leading dual-arm dexterous manipulation abilities. Through a continuous iterative mechanism of 'real-world scenario data—model training—true machine deployment—data feedback,' it has built up difficult-to-replicate data and algorithm barriers.'

More importantly, Lingchu Intelligence has not remained at the technical demonstration stage but has taken the lead in promoting the implementation of embodied intelligence in high-value industrial scenarios such as logistics. By performing multi-skill combination tasks like grasping, scanning, and sorting, they have formed a replicable commercial closed loop, allowing robots to create clear value in real production environments.

We believe that as technological iteration and large-scale deployment in various scenarios continue to advance, Lingchu Intelligence is poised to become one of the key players in the global wave of embodied intelligence, pushing general-purpose robots from laboratories toward large-scale industrial applications.'

Over the past year, Lingchu Intelligence has achieved critical breakthroughs in algorithm robustness and dexterous operation reliability, raising the success rate of embodied intelligence operations to the threshold for commercial applications. This round of financing is not only a recognition of Lingchu's technological capabilities by investors but also reflects confidence in their vision of 'enabling robots with general-purpose dexterous operational abilities.' Moving forward, Lingchu Intelligence will continue to focus on core foundational technologies, ensuring that robots perform well not only in laboratory settings but can also truly enter factories, adapt to more scenarios, and solve more complex real-world problems.

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