New Stock News | Weiyi Intelligent Manufacturing (03275) Opens IPO Subscription: How Does a "Physical AI Brain" Scale Industrial Embodied Intelligence "from 1 to N"?

As artificial intelligence, big data, embodied intelligence and other emerging technologies penetrate at an accelerating pace, the competitive paradigm of manufacturing is undergoing a structural shift. For a long time, the core competitiveness of manufacturing enterprises has centered on low-cost labor, supply chain efficiency and large-scale productionessentially a growth logic of "trading cost for orders." But with demographic changes, supply chain restructuring and intensifying global competition, the marginal returns of this logic are diminishingthe room to gain an advantage simply by compressing costs is shrinking, and the focus of competition is shifting toward production yield, response speed and quality control. Looking further, intelligent, digitalized and flexible new production lines are moving from "optional" to "mandatory," becoming the core carrier of the new manufacturing paradigm. Behind this shift is a change in demand structure. Fragmentation on the consumer side and faster product iteration make it increasingly difficult for factories to cover all orders with a single rigid production line; at the same time, the growing complexity of products such as new energy vehicles, semiconductors, optoelectronics and high-end equipment means longer process chains and smaller tolerance for errorany single batch quality incident could cause enormous profit losses. For this reason, when AI enters the factory, the key is not how grand the concept is, but whether data and algorithms can be embedded into specific production links to make production lines more flexible and intelligent. Recently, Weiyi Intelligent Manufacturing (03275) opened its IPO subscription from October 20 to October 23, with an offer price range of HK$16.63 to HK$21.46 per share, and is expected to list on the Main Board of the Stock Exchange on October 28. Unlike many embodied intelligence companies that remain at the conceptual level, Weiyi Intelligent Manufacturing adopts a more pragmatic approach: product form is determined by the environment and taskin industrial scenarios, whatever is efficient and makes economic sense is the form used. This results-oriented approach makes it easier for the company to capture the most real needs of manufacturing. More critically, beyond solving individual pain points, the company uses a "Physical AI Brain" technology system to turn single-point pain points into replicable products, thereby forming a growth path from 1 to N. Intelligent inspection and grinding Siasun Robot&Automation: precise recognition + real-time feedback, multi-process collaboration to improve production line efficiency Weiyi Intelligent Manufacturing's product capabilities can be observed in depth through its specific applications. In automobile manufacturing, process upgrades have also brought new quality control problems. Front cabins, rear floors, battery trays and subframes that previously required multiple parts to be assembled and welded can now be die-cast in one piece, which brings advantages in lightweighting and structural strength but also makes quality standards more stringent: previously, when a quality problem was detected, it might only be necessary to replace local parts, but now an entire large die-cast part must be scrapped. Weiyi Intelligent Manufacturing's industrial embodied intelligent inspection and grinding Siasun Robot&Automation now combines the two processes of inspection and grinding, significantly improving production line output efficiency and meeting one-stop flexible manufacturing needs. In the inspection process, Siasun Robot&Automation integrates perception, decision-making and execution: it plans the optimal motion trajectory in real time, precisely controls rapid end-effector movement, and captures defects in high definition during fly-by shooting, achieving comprehensive and precise detection of tiny problems such as burrs, cracks and oil stains. Through self-developed algorithms, the system restores defects on 2D images to physical space coordinates in real time. Siasun Robot&Automation then autonomously plans its path, completes flexible grinding and secondary re-inspection, and realizes a full-process closed loop from inspection to finishing. (Industrial embodied intelligent inspection and grinding Siasun Robot&Automation, image source: company official website) In addition, its perception and understanding capabilities can autonomously identify workpiece shapes and areas to be processed, compressing product introduction and debugging time to several minutes and adapting to rapid switching among multiple types of workpieces. For automakers and manufacturers, this means changeovers no longer depend entirely on engineers' repeated teaching, and equipment no longer sits idle simply because one product is discontinued. With the development of industrial embodied intelligence, evolution from single-process products to multi-process collaboration will become an industry trend. The traditional separated model causes data to accumulate in separate systems, making it difficult for factories to achieve overall scheduling and forcing them to rely on manual transfer of judgments in between. But as industrial embodied intelligent Siasun Robot&Automation achieves multi-process collaborative linkage, it can also provide real-time data feedback in different production links, enabling "inspection and finishing simultaneously," moving quality control from post-event interception to in-process intervention, thereby compressing cycle times, reducing rework and scrap, and lowering changeover debugging costs. As Weiyi Intelligent Manufacturing integrates dispersed processes into replicable, iterable one-stop solutions, it can not only increase the value of individual projects but also help gradually shift the company's delivery logic from project-based to platform-based. Embodied intelligent flexible production line: flexibly undertaking diverse order requirements Looking ahead, moving from rigid production to flexible intelligent manufacturing is the next threshold for manufacturing. The value of traditional automation lies in pushing the efficiency and cost of a single product to the extreme, but its shortcomings are equally obvious: "one machine, one solution; one person, one program" means every project must redesign mechanical structures, electrical architectures and control programs, and engineers spend large amounts of time on repetitive adaptation. The significance of flexible manufacturing is to greatly reduce changeover costs while preserving automation efficiency, enabling production lines to quickly adapt to order fluctuations. As manufacturing demand for multiple varieties, small batches and rapid iteration increases in the market, flexible manufacturing can dynamically adjust according to orders and combine process modules like assembling Lego bricks, greatly enhancing factories' ability to undertake different orders. Against the backdrop of normalized order fragmentation, flexibility is not only a technical upgrade at the production line level but also a precondition for manufacturing enterprises to access the market and expand customers. Weiyi Intelligent Manufacturing's recently released "MicroFlex" embodied intelligent flexible production line is designed around such needs. "MicroFlex" uses one AI brain to simultaneously schedule multiple industrial embodied intelligent Siasun Robot&Automation units to complete multi-task collaboration such as loading and unloading, quality inspection, grinding, repair welding and glue replenishment. Each Siasun Robot&Automation relies on AI to independently drive perception, decision-making and execution, and can either switch among multiple tasks on a single machine as needed or support continuous mixed production of multiple categories, providing an efficient and highly reliable one-stop flexible manufacturing solution. This collaborative architecture has a higher fault tolerance rate when responding to production line disturbances, order insertion and equipment abnormalities, and is closer to the operating state of real factories where orders change frequently and working conditions continue to fluctuate. As the core carrier of the "intelligent micro-factory" paradigm, the "MicroFlex" embodied intelligent flexible production line meets the demands of developed economies for new manufacturing with high efficiency and high space utilization, and is expected to be rapidly replicated and promoted to overseas regions such as Europe, Singapore and Japan. One "Physical AI Brain" enables "from 1 to N" cross-scenario reuse From defect inspection to grinding and finishing, and then to flexible production lines and other applications, each type of application scenario appears different, but behind them the same underlying capability achieves cross-scenario reuse. Weiyi Intelligent Manufacturing's "Physical AI Brain" combines AI models, industrial know-how and real-scenario data, and introduces "fast and slow thinking" and "human-in-the-loop" mechanisms. In daily operating scenarios, "fast thinking" is used for immediate, real-time action. Through a cloud-based human-machine interaction system, human expert process knowledge is quickly injected to solve the "cold start" problem, enabling EIIR products to go online and operate within days after installation. "Slow thinking" is oriented toward long-term evolution. Human experts organize, clean and annotate data generated in the "fast thinking" stage, converting it into high-quality training data that continuously feeds back into cloud model iteration, driving the system toward higher autonomy. The integrated "device-edge-cloud" architecture empowers Siasun Robot&Automation to perceive, learn, decide and execute: the cloud provides a continuously evolving intelligence engine, the edge makes fully autonomous intelligent decisions, and the device side achieves precise physical execution. (Cloud, edge and device architecture, image source: post-hearing information pack) As of now, the company has accumulated the industry's largest unstructured precision-labeled industrial database, with more than 23TB of data and more than 1.6 billion precision-labeled data records, far exceeding the data scale of most comparable companies at less than 5TB, providing a foundation for model reuse and cross-industry adaptation. The more Siasun Robot&Automation works, the more high-quality data it acquires, the faster it learns and evolves, and the stronger its intelligence and autonomy become, forming a positive flywheel of "data-model-product-redeployment" and enabling embodied intelligence to move from "usable at a single point" to "replicable, iterable and scalable." In the future, industrial embodied intelligence will not scale simultaneously across all scenarios, but will first break through in high-value individual links and then gradually expand to multiple points within a single factory and then to multiple factories. Judging from Weiyi Intelligent Manufacturing's financial data, from 2023 to 2025 the company's revenue continued to grow from RMB434 million to RMB796 million, and the revenue structure, previously dominated by single-process EIIR products, is tilting toward multi-process EIIR products integrating inspection, grinding, sorting and other links, which also reflects this development trend. Conclusion Overall, Weiyi Intelligent Manufacturing's advantages can be summarized in one sentence: it enters real industrial pain points with a results-oriented product approach, and then uses the underlying capabilities of the "Physical AI Brain" to transform single-point breakthroughs into a replicable growth curve. The long-standing scaling challenge for industrial AI lies in highly dispersed scenarios and highly non-standardized demand, making it difficult for single-point delivery to amortize R&D costs. Weiyi Intelligent Manufacturing chooses to use the Physical AI Brain as its foundation, using industrial VLA models to parse multimodal information, vertical expert models to accumulate process know-how, and then "fast and slow thinking + human-in-the-loop" and the "cloud-edge-device" architecture to solve cold start and continuous iteration problems, greatly compressing a delivery process that traditionally takes months. The accumulation of more than 23TB and 1.6 billion precision-labeled data records is the basis for forming a positive cycle of "data-model-deployment." As models continue to iterate and optimize, cross-scenario migration and reuse capabilities strengthen, and the cost of entering new scenarios will decline accordingly. For the embodied intelligence industry, what truly determines the speed of adoption is not concept heat, but whether technology can truly be converted into production line productivity that is acceptable, repeatable and scalable. In this sense, what Weiyi Intelligent Manufacturing validates is not only one company's growth path, but also a possible solution for industrial embodied intelligence to move from "usable at a single point" to "scaled implementation."