Hardcore News has learned that recently, Magic Warehouse Robotics—a provider of warehouse robots and smart logistics solutions—has completed a new round of financing worth tens of millions of yuan. This round of investment was led by Waniu Capital (a fund affiliated with Inovance Technology), the Suzhou Industrial Park Science and Technology Innovation Investment Fund, and several existing shareholders. The funds will be used for product iteration, capacity expansion, and overseas market entry.

Founded in Suzhou in 2023, MagicCang Robotics specializes in providing MagicStore integrated software and hardware solutions that bridge the “last hundred meters” between production workshops and warehouses for smart manufacturing enterprises. With “lightweight delivery, high space utilization, and strong scenario adaptability” as its technological core, the company’s products are primarily used in industries such as pharmaceuticals and chemical engineering, food cold chains, automotive manufacturing, new energy, and logistics parks.

It completed its first round of funding in the year of its establishment, with investors including Source Code Capital, Xianfeng Changqing, Weihe Investment, and Hong Kong X Fund.

Although the production processes in smart manufacturing plants have become highly automated, the “last hundred meters”—the material handling between workshops and warehouses, as well as storage within warehouses themselves—still heavily rely on manual labor. Traditional solutions fall short of delivering satisfactory efficiency. The manual forklift model, which has been in use for over a century, has seen no fundamental changes in its basic structure or operational methods. While automated storage and retrieval systems (AS/RS) can indeed bring about some efficiency improvements, their high retrofitting costs—ranging from three to five times those of conventional systems—and limited gains in space utilization (typically only around 50%) coupled with stringent requirements for site modifications and a lengthy return-on-investment period, discourage many companies from adopting them.

Cheng Changshun, founder of Magic Warehouse Robotics, pointed out that customers are looking for solutions that offer high cost performance, require minimal modifications, and can seamlessly integrate into existing scenarios. Although the industry boasts many players, they often fall into the trap of being “large but incomplete”—developing dozens of different robots yet lacking strong competitiveness in individual products, struggling to close the loop across various scenarios, and facing complex engineering delivery processes with high costs. In contrast, Magic Warehouse Robotics adopts an extremely focused “1+4” strategy. At its core, this approach deconstructs the essence of warehouse logistics: goods only need to move within a three-dimensional space (the XYZ axes).

Accordingly, the MagicAnt ground handling robot developed by “MagicCang Robotics” is responsible for planar movement (on the XY axes), seamlessly connecting the workshop to the warehouse. Meanwhile, the MagicCarpet three-dimensional warehousing robot, supported by a multi-level MagicRack rail system, operates efficiently within the warehouse (coordinating movement along the XYZ axes). The MagicLift vertical handling robot handles vertical transportation (along the Z axis). The MagicVision software platform provides unified scheduling, creating a complete closed-loop system.

The “Magic Warehouse Robot” covers the needs of multiple industries—including pharmaceuticals and chemical processing, automotive, new energy, food cold chains, and logistics parks—through a minimalist combination of four core hardware components and a single software suite. Standardized, large-scale production helps reduce the material costs per unit, while the “light delivery” model significantly cuts engineering expenses, lowering the average storage space cost of the entire solution by 30% to 50% compared to traditional automated warehouses. The core value of this solution lies in its remarkable improvement in space utilization efficiency, with untapped potential even for warehouse spaces as high as 30 meters.

Meanwhile, the hardware design focuses on high quality as well as stability and reliability. MagicCarpet features a lightweight body with a minimum height of only 10 centimeters and boasts excellent weight control—taking just 150 kilograms for the MC1000 model, for instance. It integrates laser and RFID navigation systems, operates quietly, and meets automotive-grade durability standards. MagicAnt not only enables highly precise direct pick-and-place operations on the ground but can also adapt its own posture in response to deviations in the placement of goods. The software platform, MagicVision, leverages AI algorithms to seamlessly integrate digital management across the entire process—from order fulfillment to inventory management—and also supports intelligent collaboration among multiple types of robots. The company has already filed over a hundred patent applications, more than half of which are invention patents.

Since its establishment, “Magic Warehouse Robotics” has delivered approximately 20 projects. Its clients include JD Logistics, the Shenzhen Distribution Center of Sinopharm Group, the publicly listed pharmaceutical company Jiudian Pharmaceutical, and Weichai Power, among others. In the Jiudian Changsha project, robots have enabled a fully automated process—from packaging and line-off to handling, warehousing, picking, and outbound logistics—significantly boosting the utilization rate of its 24-meter-high warehouse space. Due to the stringent requirements of GMP certification in the pharmaceutical industry—such as maintaining constant temperature and humidity and ensuring full-process traceability—this sector has become a critical area where “Magic Warehouse Robotics” has achieved breakthroughs.

Regarding the direction of product evolution, Cheng Changshun stated: “In our ‘1+4’ product portfolio, we aim to make each product smarter and steer it toward the development of embodied robots—robots that can perceive their environment and make autonomous decisions within a limited scope.” This means shifting some algorithms and computing power from the higher-level scheduling system down to individual robots themselves, enabling them to communicate and coordinate autonomously in cluster collaboration (such as path avoidance), reducing their absolute reliance on the “brain” and enhancing both system efficiency and stability.

On the team front, founder Cheng Changshun boasts over 15 years of industry experience and previously worked at foreign-invested companies such as Dematic (formerly Siemens Industrial Logistics) and TGW. The CTO comes from BYD Auto’s team and will bring cross-disciplinary technological insights into the R&D of warehouse robots.