WeiYi Intelligent Manufacturing files IPO prospectus, profitable for two consecutive years

Ask AI · How does MicroYi Intelligent Manufacturing’s EIIR achieve a day-level deployment cycle?

By | Yang Zihao

Edited by | Wang Liguang

On March 31, the Hong Kong Exchanges and Clearing disclosed via the HKEXnews platform that Changzhou MicroYi Intelligent Manufacturing Technology Co., Ltd. (hereinafter referred to as “MicroYi Intelligent Manufacturing”) filed its prospectus, aiming for an IPO listing on the Hong Kong stock market.

The prospectus shows that MicroYi Intelligent Manufacturing was founded in 2018, headquartered in Changzhou, and is an industrial embodied intelligent robotics company. Its core business is to provide customers with “unbox-and-use,” highly flexible industrial embodied intelligent robot (EIIR) products and solutions. Through its self-developed full-stack software and hardware system and comprehensive systems engineering capabilities, MicroYi Intelligent Manufacturing has successfully developed EIIR products that can autonomously perceive, learn, make decisions, and execute complex tasks.

In terms of applications, MicroYi Intelligent Manufacturing’s products have already been commercialized and deployed in real industrial scenarios, including industries with extremely high requirements for precision, stability, and reliability—such as 3C electronics, automotive manufacturing, new energy, fast-moving consumer goods, and semiconductors.

In terms of performance, according to the prospectus, in 2025 MicroYi Intelligent Manufacturing achieved operating revenue of RMB 796 million and net profit of RMB 5.07M, and has already delivered profitability for two consecutive years.

Source: MicroYi Intelligent Manufacturing prospectus

In terms of core business, MicroYi Intelligent Manufacturing’s flagship EIIR product line achieved significant growth. Revenue for this business rose from RMB 8B in 2023 to RMB 453 million in 2025; its revenue share increased from 26.3% in 2023 to 57% in 2025, with an approximately 100% compound annual growth rate. In terms of profitability, the EIIR business’s gross margin performed well, increasing steadily from 47.9% in 2023 to 53.5% in 2025, while also enabling the company to achieve profitability.

Regarding R&D investment, between 2023 and 2025, MicroYi Intelligent Manufacturing’s R&D spending was RMB 178 million, RMB 165 million, and RMB 235 million, respectively, accounting for 41.1%, 27.5%, and 29.6% of total revenue in each period. By the end of 2025, the company had an R&D team comprising more than 270 experts and engineers, representing over 55% of its total employees.

MicroYi Intelligent Manufacturing’s performance surge stems from innovation in its technical architecture. As is understood, traditional industrial robots have long been constrained by “three major mountains”: high deployment costs, rigid flexibility capabilities, and fundamental lack of intelligence. When launching a new product, it often requires months of data collection, labeling, training, and debugging. The cost of production-line shutdown makes businesses reluctant to proceed. MicroYi Intelligent Manufacturing has built a unique integrated architecture of “fast-slow thinking” and “cloud-edge-device.”

Different from traditional industrial robots, its EIIR products are complete AI-driven robots with perception, learning, decision-making, and execution capabilities. They can be integrated into production-line solution systems to perform tasks and learn new tasks without manual programming. From motion control to task execution, all key capabilities of the EIIR products are fully driven by AI models. During the initial deployment stage, through the fast-thinking architecture, cloud-based process engineers can remotely and in real time correct model outputs, compressing the industry-average delivery cycle of several months down to a “day-level” timeline.

Meanwhile, throughout ongoing use of the product, multi-modal data generated on-site—such as action commands, force/torque feedback, and motion trajectories—are synchronized to the cloud via the “cloud - edge - device” architecture for “slow-thinking” training. This process organizes massive amounts of data and converts them into high-value training assets, driving continuous evolution of the core AI model.

This fast-slow thinking layout effectively addresses common pain points in traditional industrial robots: when the product is changed or incoming materials have even slight deviations, the system can “freeze,” then shut down and wait for engineers to re-debug.

To enable deep coordination between software and hardware, MicroYi Intelligent Manufacturing, through a strategic investment in Jetbot, further filled in core capabilities for the robot’s body and underlying motion control. It also achieves integration and optimization of software and hardware coordination, allowing the advantages of data and algorithms to be leveraged to their fullest extent. According to the prospectus, the two parties plan to build a 14k-square-meter production base in Jiangsu to produce hardware modules for EIIR products. The estimated annual production capacity is approximately 10,000–12,000 robots and 6,000–8,000 meters of magnetic transport systems. The production base is expected to achieve full capacity utilization by before 2029. This vertical integration will significantly shorten the development cycle and optimize cost efficiency.

Driven by the dual factors of traditional production-line technology upgrades and human labor substitution, the global market space for industrial embodied intelligent robots is broad. Data shows that, in recent years, the global industrial AI-enabled agent industry has demonstrated strong growth momentum. In 2024, the global market size for the industrial AI-enabled agent industry reached RMB 362 billion. It is expected to further grow to RMB 1,292.3 billion by 2030. The CAGR from 2024 to 2030 is 23.6%.

At present, artificial intelligence technology is in the exploration stage of evolving toward general intelligence. In the industrial sector, industrial AI-enabled agents remain the main focus, such as AI-enabled industrial robots and AI-enabled intelligent manufacturing equipment. These industrial AI agents focus on intelligent upgrades of a single or limited industrial process, significantly improving industrial production efficiency and advancing the digital and intelligent transformation of industry. In the future, with the continued iteration of deep learning algorithms, the maturation of multi-modal interaction technologies, and the leap in model training compute, composite AI functions will achieve a breakthrough from single-point intelligence to system-level intelligence.

MicroYi Intelligent Manufacturing files its IPO prospectus; profitable for two consecutive years

On March 31, the Hong Kong Exchanges and Clearing disclosed via the HKEXnews platform that Changzhou MicroYi Intelligent Manufacturing Technology Co., Ltd. (hereinafter referred to as “MicroYi Intelligent Manufacturing”) filed its prospectus, aiming for an IPO listing on the Hong Kong stock market.

The prospectus shows that MicroYi Intelligent Manufacturing was founded in 2018, headquartered in Changzhou, and is an industrial embodied intelligent robotics company. Its core business is to provide customers with “unbox-and-use,” highly flexible industrial embodied intelligent robot (EIIR) products and solutions. Through its self-developed full-stack software and hardware system and comprehensive systems engineering capabilities, MicroYi Intelligent Manufacturing has successfully developed EIIR products that can autonomously perceive, learn, make decisions, and execute complex tasks.

In terms of applications, MicroYi Intelligent Manufacturing’s products have already been commercialized and deployed in real industrial scenarios, including industries with extremely high requirements for precision, stability, and reliability—such as 3C electronics, automotive manufacturing, new energy, fast-moving consumer goods, and semiconductors.

In terms of performance, according to the prospectus, in 2025 MicroYi Intelligent Manufacturing achieved operating revenue of RMB 796 million and net profit of RMB 14k, and has already delivered profitability for two consecutive years.

Source: MicroYi Intelligent Manufacturing prospectus

In terms of core business, MicroYi Intelligent Manufacturing’s flagship EIIR product line achieved significant growth. Revenue for this business rose from RMB 5.07M in 2023 to RMB 453 million in 2025; its revenue share increased from 26.3% in 2023 to 57% in 2025, with an approximately 100% compound annual growth rate. In terms of profitability, the EIIR business’s gross margin performed well, increasing steadily from 47.9% in 2023 to 53.5% in 2025, while also enabling the company to achieve profitability.

Regarding R&D investment, between 2023 and 2025, MicroYi Intelligent Manufacturing’s R&D spending was RMB 178 million, RMB 165 million, and RMB 235 million, respectively, accounting for 41.1%, 27.5%, and 29.6% of total revenue in each period. By the end of 2025, the company had an R&D team comprising more than 270 experts and engineers, representing over 55% of its total employees.

MicroYi Intelligent Manufacturing’s performance surge stems from innovation in its technical architecture. As is understood, traditional industrial robots have long been constrained by “three major mountains”: high deployment costs, rigid flexibility capabilities, and fundamental lack of intelligence. When launching a new product, it often requires months of data collection, labeling, training, and debugging. The cost of production-line shutdown makes businesses reluctant to proceed. MicroYi Intelligent Manufacturing has built a unique integrated architecture of “fast-slow thinking” and “cloud-edge-device.”

Different from traditional industrial robots, its EIIR products are complete AI-driven robots with perception, learning, decision-making, and execution capabilities. They can be integrated into production-line solution systems to perform tasks and learn new tasks without manual programming. From motion control to task execution, all key capabilities of the EIIR products are fully driven by AI models. During the initial deployment stage, through the fast-thinking architecture, cloud-based process engineers can remotely and in real time correct model outputs, compressing the industry-average delivery cycle of several months down to a “day-level” timeline.

Meanwhile, throughout ongoing use of the product, multi-modal data generated on-site—such as action commands, force/torque feedback, and motion trajectories—are synchronized to the cloud via the “cloud - edge - device” architecture for “slow-thinking” training. This process organizes massive amounts of data and converts them into high-value training assets, driving continuous evolution of the core AI model.

This fast-slow thinking layout effectively addresses common pain points in traditional industrial robots: when the product is changed or incoming materials have even slight deviations, the system can “freeze,” then shut down and wait for engineers to re-debug.

To enable deep coordination between software and hardware, MicroYi Intelligent Manufacturing, through a strategic investment in Jetbot, further filled in core capabilities for the robot’s body and underlying motion control. It also achieves integration and optimization of software and hardware coordination, allowing the advantages of data and algorithms to be leveraged to their fullest extent. According to the prospectus, the two parties plan to build a 14k-square-meter production base in Jiangsu to produce hardware modules for EIIR products. The estimated annual production capacity is approximately 10,000–12000 robots and 6,000–8,000 meters of magnetic transport systems. The production base is expected to achieve full capacity utilization by before 2029. This vertical integration will significantly shorten the development cycle and optimize cost efficiency.

Driven by the dual factors of traditional production-line technology upgrades and human labor substitution, the global market space for industrial embodied intelligent robots is broad. Data shows that, in recent years, the global industrial AI-enabled agent industry has demonstrated strong growth momentum. In 2024, the global market size for the industrial AI-enabled agent industry reached RMB 362 billion. It is expected to further grow to RMB 1,292.3 billion by 2030. The CAGR from 2024 to 2030 is 23.6%.

At present, artificial intelligence technology is in the exploration stage of evolving toward general intelligence. In the industrial sector, industrial AI-enabled agents remain the main focus, such as AI-enabled industrial robots and AI-enabled intelligent manufacturing equipment. These industrial AI agents focus on intelligent upgrades of a single or limited industrial process, significantly improving industrial production efficiency and advancing the digital and intelligent transformation of industry. In the future, with the continued iteration of deep learning algorithms, the maturation of multi-modal interaction technologies, and the leap in model training compute, composite AI functions will achieve a breakthrough from single-point intelligence to system-level intelligence.