On October 20, Changzhou Microintelligence Co., Ltd (03275) officially launched its Hong Kong public offering and is expected to list on the Main Board of the Hong Kong Stock Exchange on October 28, positioning itself to become the first "industrial embodied intelligence" stock in Hong Kong.
The offering comprises 37.2758 million H shares globally, with 3.7276 million shares allocated to the Hong Kong public offering and 33.5482 million shares to the international offering. The price range is set between HK$16.63 and HK$21.46 per share, with a minimum board lot entry cost of approximately HK$2,168. Based on the midpoint price of HK$19.05, the net proceeds from the offering are estimated at approximately HK$642 million.
As its listing process advances, this AI company deeply rooted in industrial scenarios offers capital markets a sample with actual revenue and delivery experience for observing the commercialization progress of embodied intelligence. From 2023 to 2025, Microintelligence's revenue grew from RMB 434 million to RMB 796 million, representing a compound annual growth rate of 35.4%. Among this, revenue from embodied intelligent industrial robots (EIIR) increased from RMB 114 million to RMB 453 million, a cumulative growth of approximately 297.1% over two years, with its share of total revenue rising from 26.3% to 57.0%. In the first five months of 2026, this business segment's revenue further grew 39.7% year-on-year to RMB 260 million, with its revenue share climbing to 61.4%.
According to China Insights Consultancy data, based on 2025 revenue, Microintelligence ranks first among China's industrial embodied intelligent robot (EIIR) product providers with a 20.0% market share. Its position in this niche market, core product revenue growth, and shifts in business structure together constitute important highlights as the company approaches the capital markets.
For investors, understanding Microintelligence's value requires placing technology back into the operational context of the factory: whether robots can achieve a balance between stability, production cycle times, and changeover efficiency; whether suppliers can transform process expertise into repeatable, deliverable products; and whether these capabilities can consistently translate into revenue, gross profit, and order growth.
The Factory Economics That Open Application Space for Industrial Embodied Intelligence
Manufacturing is one of the application areas where embodied intelligence has clear commercial demand. Production tasks have specific objectives, quality and efficiency are measurable, and equipment investment has clear return evaluation criteria. As small-batch, multi-variety production increases, systems operating on fixed programs and preset conditions often require additional programming, debugging, and tooling investment when facing variations in workpiece positions, complex appearance defects, or frequent changeovers. Robots capable of perceiving their environment, adjusting motions, and executing specific processes therefore have room for further penetration.
Industrial customers measure total cost of use. Recognition accuracy, yield rates, equipment utilization, downtime, and delivery cycles all affect return on investment. Suppliers that can integrate algorithms, mechanical structures, and process requirements into production lines are better positioned to convert technological advances into efficiency improvements that customers are willing to pay for.
Microintelligence's business path corresponds to this demand. The company accumulated experience from industrial applications such as AI visual quality inspection and gradually expanded into EIIR products with perception, planning, and physical execution capabilities, covering tasks including quality inspection, assembly, handling, loading and unloading, grinding, and repair. Its products include both single-process robots and composite workstations that integrate multiple tasks. For example, in die-casting production, inspection and grinding need to be connected; in new energy vehicle electric drive production, issues detected during inspection need to be further translated into actions such as repair welding. Connecting recognition results with subsequent process execution can increase the tasks a single system undertakes and give suppliers the opportunity to extend from one workstation to more production stages.
The commercial significance of this expansion is that customer value and supplier revenue space can increase simultaneously. New processes, new production lines, and product changeovers at the same factory may all generate follow-up procurement opportunities. For companies with existing delivery experience, understanding customer processes, meeting on-site standards, and building trust are important foundations for pursuing these opportunities.
Process Expertise and Model Reuse Build Engineering Competitiveness
Differences in lighting, materials, equipment interfaces, workspace, and process standards all affect how industrial AI performs across different projects. Microintelligence builds on self-developed visual perception, process models, and motion control capabilities to construct a cloud-edge-device collaborative technical architecture, connecting model training, edge inference, and equipment execution so that process requirements can be translated into robot actions through models and control systems.
Among these, the design of "fast and slow thinking" and "human-in-the-loop" reflects a pragmatic approach to industrial deployment. In the initial deployment phase, the human-machine interaction system supports engineers in reviewing and correcting model outputs, bringing expert experience into the workflow; in the continuous optimization phase, the "Yixiu Cloud" and algorithm development platform support data governance, model training, and iteration. Combining real-time adaptation with long-term optimization helps reduce reliance on on-site advanced programming and promotes the reuse of process expertise and models across similar projects.
Data provides the foundation for this process. According to company disclosures, as of the latest practicable date before the post-hearing information pack, its unstructured precision-labeled database exceeds 23TB, containing over 1.6 billion precision-labeled records. China Insights Consultancy data shows that in 2025, most industrial embodied intelligent robot companies in the industry possess less than 5TB of comparable real industrial scenario data. For industrial models, data corresponding to process standards, sensor information, and motion trajectories can support training and scenario adaptation. The company discloses that its labeled data originates from its own facilities; operational logs, yield rates, and other data from customer sites remain local to customers for optimizing the corresponding customer's local models. Within this boundary, proprietary data, process methods, and model development experience constitute the company's sustainable technical foundation for accumulation and reuse.
Engineering capabilities must still be validated through complete project delivery. According to the information pack, traditional AI projects require data collection, data labeling, model training, and model deployment, taking an average of at least 2 to 3 months; the company's EIIR projects, leveraging the human-machine interaction system, can provide real-time feedback and integrate human experience and judgment, fundamentally solving the "cold start" problem with an average time of only 21 days. The value of model reuse and remote collaboration lies precisely in gradually reducing repetitive work across these stages, improving delivery efficiency and predictability.
Building on existing scenario-specific models, Microintelligence is developing an industrial Vision-Language-Action (VLA) model, aiming to further align multimodal information and improve task adaptation capabilities. Existing revenue reflects the commercial value of specialized models and the engineering delivery system, while VLA research and development provides direction for the next phase of product upgrades. The connection between the two is expected to further expand the application scope of the company's existing industrial experience.
Core Products Become the Revenue Mainstay as Commercial Value Shows in Financial Performance
The growth of EIIR revenue is the most noteworthy thread in Microintelligence's business changes in recent years. From 2023 to 2025, this business segment's revenue achieved a compound annual growth rate of 99.3%, significantly higher than the group's overall growth rate; in the first five months of 2026, this business generated revenue of RMB 260 million, continuing to grow 39.7% year-on-year and accounting for over 60% of revenue for the period, with core products having become the company's primary growth source.
This shift also affects revenue quality. In 2025, the EIIR business gross margin was 53.5%, higher than the group's overall gross margin of 48.4%; this business contributed approximately 62.9% of the group's gross profit. In the first five months of 2026, the EIIR business gross margin was 54.8%. The rising share of core product revenue provides support for the company's gross profit growth.
Changes in the product mix reflect the company's progress in expanding toward higher-integration applications. In the first five months of 2026, the overall average selling price of EIIR rose from approximately RMB 651,000 in the same period last year to RMB 1,089,000, primarily related to more equipment being integrated into larger composite workstation packages. Under this counting methodology, average selling price changes reflect adjustments in system integration scale and product mix. Having individual systems handle more processes provides a path to expanding project value.
At the group level, revenue for the first five months of 2026 was RMB 424 million, up 22.6% year-on-year; gross profit was RMB 205 million, up approximately 20.6% year-on-year. The overall gross margin for the period was 48.4%, slightly down from 49.2% in the same period last year, reflecting mix and pricing changes in other businesses. EIIR's gross margin advantage and rising revenue share are important factors supporting the group's gross profit growth.
In terms of profitability, the company recorded net profits of approximately RMB 15.739 million and RMB 5.066 million in 2024 and 2025, respectively. In 2025, research and development expenses increased to RMB 235 million, accounting for 29.6% of revenue, providing continuous investment for product and model iteration while also affecting profit for the period. In the first five months of 2026, the company's adjusted net profit was RMB 33.835 million, up 41.5% year-on-year; the adjusted net margin rose from approximately 6.9% in the same period last year to approximately 8.0%. This non-IFRS measure adjusts for share-based payments, redemption liability interest, and listing expenses. Net profit for the first five months of 2026 was RMB 22.528 million, up 219.1% year-on-year, with a notable contribution from lower net financing costs; research and development investment during the period exceeded RMB 100 million, up 6.17% year-on-year. Revenue growth, core product gross margin advantages, and sustained investment together constitute the company's current operating characteristics.
Orders provide another support for future operations. In the first five months of 2026, the company newly obtained tax-inclusive orders of approximately RMB 530 million, up 49.3% year-on-year; as of the end of May, tax-inclusive contracts on hand totaled approximately RMB 666 million. Order growth reflects customer demand, but its conversion into revenue still depends on project implementation and acceptance, and tax-inclusive contract amounts also differ from financial revenue on a measurement basis. Putting these indicators together, Microintelligence has established a business foundation where core product revenue, gross profit contribution, and new orders mutually support each other. The focus for the next phase is to translate this foundation into more stable delivery, cash collection, and profit accumulation.
From Existing Customers to Overseas Markets, the Growth Path Gradually Unfolds
Industry expansion provides the backdrop for this growth path. According to China Insights Consultancy forecasts, the global industrial AI-enabled equipment market is expected to grow from RMB 465.7 billion in 2025 to RMB 1,310.6 billion in 2030, with a compound annual growth rate of approximately 23.0%; the China market is projected to grow from RMB 189.1 billion to RMB 641.8 billion over the same period, with a compound annual growth rate of approximately 27.7%. Industrial embodied intelligent robots remain in the early stages of penetration within this market. According to the same institution, the proportion of industrial embodied intelligent robots in China's industrial AI-enabled equipment market is expected to rise from 1.2% in 2025 to 14.2% in 2030. This forecast reflects industry expectations for expanded application of flexible intelligent equipment and means that companies with product and delivery track records have opportunities to expand their business as customer needs upgrade.
In this market, Microintelligence has secured a commercialization position in the industrial embodied intelligent robot (EIIR) niche segment. Facing industrial automation manufacturers, robot companies, and newly entering embodied intelligence firms, its existing process accumulation, product revenue, and customer base provide a starting point for participating in subsequent competition.
For the company, scenario expansion with existing customers is a growth direction relatively close to its current capabilities. According to disclosures, the company served over 350 industrial customers during its track record period; as of the latest practicable date, it has served more than 25 Fortune Global 500 and industry-leading enterprises. Expanding applications around already-validated process stages helps leverage the value of existing customer relationships and industry experience.
Automotive and new energy are currently important sources of demand. In the first five months of 2026, these two industries together contributed approximately 89.1% of the group's revenue. They provide the company with opportunities for higher-integration applications while also closely linking business performance to the capital expenditure, production line construction, and acceptance timelines of relevant customers. Extending mature applications to more industries is a subsequent highlight for the company to expand growth space and enhance business resilience.
Overseas business provides a new market entry point. The company has been advancing overseas expansion since 2025, and as of the latest practicable date, has obtained 19 overseas orders on hand with a total contract value of approximately RMB 35.7 million. The current scale remains early-stage, but it already provides actual projects for observing product applicability in overseas markets. As project delivery progresses, local service capabilities, customer repeat purchases, and delivery gross margins will become important indicators for evaluating this direction.
Core product revenue nearly tripling in two years, increased EIIR gross profit contribution, and new order growth have already outlined the path of industrial embodied intelligence moving from application to commercial scale. As process model reuse, composite workstation delivery, and overseas projects gradually advance, how this company will expand its existing advantages deserves continued investor attention.
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