US IPO Preview | 3D Vision Technology Enters Embodied Intelligence, What Is the Growth Potential of Sensing4D AI?

Title context: US IPO Preview | 3D Vision Technology Enters Embodied Intelligence, What Is the Growth Potential of Sensing4D AI? Text: As the artificial intelligence, digital twin, and embodied intelligence industries continue to develop, 3D vision technology is gradually extending from traditional modeling and visualization tools to scenarios such as Siasun Robot&Automation perception, virtual simulation, and intelligent decision-making. Recently, Sensing4D AI Ltd submitted a listing application to the SEC. The company, centered on 3D reconstruction and AI-driven integrated 3D solutions, plans to list on the Nasdaq in the United States. Judging from the financial data disclosed in the prospectus, the company's revenue has grown rapidly in recent years, with net profit rising in tandem, already demonstrating a certain degree of commercialization capability. Against the backdrop of continuously expanding AI applications and embodied intelligence gradually becoming a focus of industry attention, can Sensing4D AI leverage its performance growth and accumulated 3D vision technology to open up new development space and translate industry opportunities into sustainable commercial returns? Performance Growth Accelerates; Revenue Structure and R&D Investment Test the Quality of Growth It is understood that in terms of performance, Sensing4D AI achieved revenue of approximately RMB 115 million in fiscal year 2025, which increased to approximately RMB 193 million in fiscal year 2026, representing year-on-year growth of approximately 68.2%. Against the backdrop of AI applications gradually penetrating fields such as industry, digital content, and smart devices, technologies such as 3D reconstruction, digital twins, and virtual environment construction have a certain application foundation. The company's revenue growth reflects that its products and services have formed a certain degree of commercialization capability. In terms of profit, the company's net profit was approximately RMB 6.731 million in fiscal year 2025, rising to approximately RMB 8.982 million in fiscal year 2026, representing year-on-year growth of approximately 33.4%. However, profit growth trailing revenue growth also implies that revenue growth has not yet been fully converted into profit growth of a comparable magnitude. Revenue and net profit growth alone are not sufficient to conclude that the company has formed a stable and replicable high-margin business model. R&D investment is another main thread for understanding changes in the company's performance. According to the prospectus, the company's R&D expenses increased from approximately RMB 9.511 million in fiscal year 2025 to approximately RMB 15.193 million in fiscal year 2026. R&D personnel accounted for approximately 57% and 53% of total employees in the two fiscal years, respectively, indicating that technology development occupies an important position in the company's operations. For enterprises centered on algorithms, software platforms, and 3D technology, sustained R&D helps maintain technological competitiveness, but R&D expenditure also continuously consumes capital. Whether such investment can ultimately generate sustainable revenue and profit still needs to be verified by subsequent operating performance. From the perspective of revenue structure, the company's business is currently still dominated by integrated solutions. It is understood that this segment accounted for approximately 99.8% and 99.7% of revenue in fiscal years 2025 and 2026, respectively, while the share of product sales revenue is relatively limited. This structure indicates that the company currently mainly relies on providing customers with overall solutions for commercialization, rather than generating revenue through standardized product sales. Among these, integrated solutions can better align with customers' specific needs and help the company leverage its technical advantages in complex projects; at the same time, however, project-based business typically requires investment in personnel and delivery resources, and revenue recognition may be linked to customer acceptance, project progress, and collection arrangements. In the future, if the company can increase the contribution of platform-based products and repeatable-sale products while maintaining the competitiveness of its solutions business, it will help enhance the stability of its revenue structure. Overall, Sensing4D AI has demonstrated certain revenue growth and sustained profitability, but it remains in a stage where it needs to balance expansion and cash management. Whether future performance can sustain growth depends not only on market demand and technological competitiveness but also on project delivery efficiency, expense control, accounts receivable management, and financing arrangements. Leveraging the Sen-3D Platform as a Pivot to Explore New Opportunities in Embodied Intelligence Behind the performance growth, Sensing4D AI's core competitiveness mainly revolves around 3D vision technology and its applications. Among these, the company, with the Sen-3D platform at its core, provides 3D reconstruction, digital twins, and AI-driven integrated 3D solutions, attempting to connect underlying technology R&D with specific industry applications. It is understood that 3D reconstruction can transform real environments or objects into digital 3D representations, while digital twins can support digital mapping and simulation of physical objects, spaces, or processes. These technologies can be applied to a variety of business scenarios requiring 3D data, virtual scenes, and visualization capabilities. As AI models and 3D data processing capabilities continue to combine, related technologies also have the opportunity to extend to more complex simulation and intelligent interaction tasks. According to the prospectus, the Sen-3D platform includes components such as Sen-Modeling and Sen-Creation, covering 3D modeling and related content creation capabilities. For embodied intelligence-related needs, the company has also deployed Sen-Capture and Sen-Sim. Since the development of embodied intelligence requires Siasun Robot&Automation or other agents to understand physical environments, acquire spatial information, and conduct training, simulation, and interaction in virtual or real environments, 3D data acquisition, environment modeling, and simulation capabilities may therefore become important components of the relevant technology system. Among these, Sensing4D AI extends its existing 3D vision capabilities in these directions, providing a foundation for the company to explore new application scenarios. However, whether embodied intelligence-related initiatives can generate substantial revenue and when they can achieve scaled commercialization still need to be verified through subsequent orders, customer adoption, and revenue contribution. According to the company's plan for the net proceeds from this IPO, approximately 40% of the net proceeds are intended for core technology R&D, approximately 30% for business expansion, approximately 20% for computing power equipment, and approximately 10% for working capital and general corporate purposes. From the arrangement and planning perspective, the company plans to continue strengthening its R&D foundation, expanding business coverage, and investing in computing power-related resources to support technology development and business operations. In the future, if the funds can be effectively converted into product capabilities, customer expansion, and improved delivery efficiency, it will help the company further develop; however, R&D and computing power investment typically take time to manifest as commercial returns. Therefore, the progress of the use of proceeds and its actual output are worth continued tracking. Overall, the positive aspects of Sensing4D AI lie in its rapid revenue expansion, sustained net profitability, and exploration of potential growth directions such as embodied intelligence around its 3D vision platform. Whether the company can translate technology investment into sustained commercial returns ultimately still needs to be proven by subsequent financial performance and market implementation.