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Shusheng Technology breaks through the challenges of information technology application innovation replacement with a domestic digital twin engine and seeks its first round of financing

氪友Sv702026-07-08 13:53
Domestic Spatial Intelligent Operating System in the Era of Physical AI: Delivering Answers to Every Spatial Challenge

Against the backdrop of accelerated advancement in Digital China construction and urgent demand for domestic information technology application innovation (ITAI) substitution, the long-standing pain point in the urban spatial digitalization sector where underlying core technologies are controlled by external parties is now seeing a breakthrough player. Based in Shenzhen's "20+8" strategic emerging industry clusters, Digital Twin Tech provides domestically developed solutions for intelligent urban spatial governance and embodied intelligence simulation training with its fully independent and controllable domestic digital twin engine. Currently, the company has completed core capability R&D and is seeking its first round of financing to accelerate ecosystem expansion.

I. Industry Pain Point: Urban Digital Twin Has Long Been Lacking Core Underlying Technologies

As the underlying infrastructure for smart city construction, the importance of independent and controllable core technologies for urban digital twin has become increasingly prominent. However, the domestic market has long relied on overseas commercial 3D engines, which not only leads to non-independent core technologies and makes it difficult for classified spatial data to meet ITAI security requirements, but also prevents existing platforms from deeply adapting to domestic software and hardware systems.

In terms of urban spatial data governance, barriers to data interconnection remain high, and most platforms can only perform visual presentation without the capability for AI-powered intelligent spatial governance. Meanwhile, the low-altitude economy sector lacks a domestically developed 3D air traffic scheduling foundation, resulting in insufficient capabilities for three-dimensional management and simulation deduction; embodied intelligence training faces practical dilemmas such as the significant Sim2Real reality-virtuality gap and the lack of mature solutions for air-ground multi-agent collaborative training.

II. Led by a 15-Year Industry Veteran, Entering the ITAI Substitution Window

Liang Ming, Founder and General Manager of Digital Twin Tech, has 15 years of project experience in Shenzhen's urban planning and land resource sector. Having long been deeply engaged in frontline industry work, he has first-hand experience of the aforementioned pain points. At the policy level, the dual opportunities of real-scene 3D construction and domestic ITAI development have opened a window for local entrepreneurs. In August 2021, the team officially established Digital Twin Tech, positioning itself as a specialized, precision, and innovative service provider for domestic real-scene 3D spatial foundations that integrate artificial intelligence, urban spatial services, and embodied intelligence simulation training technologies.

The core team has a clear structure. Chen Xichuang, Deputy General Manager, holds a Bachelor of Engineering degree from Zhejiang University. With over 20 years of experience in the 3D real-time rendering sector, he independently developed a 3D rendering and physics engine with fully independent intellectual property rights. The urban-level digital twin engine for the ITAI era that he led the R&D of has won multiple industry awards. Ren Ling, Deputy General Manager, is responsible for comprehensive corporate affairs including daily operation management, product projects, human resources, and finance.

III. Full-Link Independent R&D Achieves 100% Independent Code Rate

During its development process, the team successively overcame core challenges such as full-link independent rendering technology adaptation and deep compatibility with domestic software and hardware. Its core solution passed the 100% independent code rate assessment by the Fifth Research Institute of the Ministry of Industry and Information Technology, and obtained multiple technical certifications including those from Kunpeng and Ascend. To date, Digital Twin Tech has won a number of authoritative awards, including the 2023 "Digital City Cup" Digital Twin City Technology Innovation Award, the 2024 Outstanding Geospatial Information Industry Project Award, the "Maker China" Competition Excellence Award, the First Prize of Jiangsu Province Geospatial Information Technology Innovation Award, and the Science and Technology Progress Award in the ITAI Track of the Digital China Innovation Contest.

IV. Dual HarmonyOS + Ascend Ecosystem, Five Core Capabilities Break Single-Function Limitations

Different from most industry players that only focus on upper-layer application integration or a single simulation scenario, Digital Twin Tech builds its platform based on the dual domestic software and hardware ecosystem of "HarmonyOS + Ascend", realizing 100% independent and controllability across the entire technical chain, and breaking away from the industry dilemma where "upper-layer applications are independent but the underlying foundation is controlled by external parties".

In terms of technical capabilities, the team focuses on five core directions: domestic 3D simulation technology, independent and controllable systems, high-quality datasets, data element operation, and multi-agent training. It breaks the single-function limitations of traditional platforms, and builds a comprehensive carrier that integrates high-precision scene modeling, robot digital twin replication, multi-agent AI simulation training, full-process data governance and trading, and multi-level differentiated services, which can simultaneously meet diverse demands for spatial governance in the government sector and intelligent R&D in the industrial sector.

V. Dual-Drive Development for Government and Enterprise Sectors, Benchmark Projects Verify Product Value

In terms of business model, Digital Twin Tech adopts a dual-drive strategy for both government and enterprise sectors. In the government sector, it undertakes customized projects such as CIM and urban spatial systems, as well as annual operation and maintenance services, to build stable cash flow. In the industrial sector, it provides tiered billing services such as data element resource subscription and service authorization through its independently developed domestic 3D engine and embodied intelligence simulation training platform. Meanwhile, it achieves multi-level value appreciation through compliant spatial data API services, industry technical consulting, and revenue sharing from industrial ecosystem cooperation, forming a closed profit loop that combines one-time project income and long-term continuous subscription operation income.

Feedback from partners has validated the product's capabilities. According to an early government project partner that participated in cooperation, Digital Twin Tech's independent foundation adapts to the domestic software and hardware environment, fully meets ITAI security requirements in terms of data security, improves the intelligent analysis efficiency after spatial data interconnection by over 40% compared with the original platform, and reduces adaptation costs by nearly 60% compared with revamping overseas engines. Testers from an embodied intelligence lab that participated in simulation training cooperation reported that the platform restores over 95% of the physical parameters in high-fidelity urban scenes, effectively narrowing the reality-virtuality gap. Its support for air-ground multi-agent collaborative training fills a gap in existing market products, significantly shortening the debugging cycle for algorithm deployment.

VI. Annual Market CAGR Exceeds 30%, Seeking First Round of Financing

In terms of market space, the compound annual growth rate of China's digital twin city market exceeds 30%, the global embodied intelligence market is expected to exceed hundreds of billions of US dollars by 2030, and demand for supporting simulation foundations in the low-altitude economy is also in a period of rapid growth, presenting a very broad market space for domestic substitution.

Facing challenges such as high independent R&D investment, difficulties in large-scale replication, and a shortage of interdisciplinary talents, Digital Twin Tech has established a complete response system: it shares adaptation costs by collaborating with the domestic software and hardware ecosystem, supplements cash flow through multiple channels including policy subsidies, technology innovation credit, and equity financing, and implements lean R&D to optimize the investment structure; it adopts a modular, building-block delivery model to reduce customization costs, and empowers the industrial market with government benchmark projects; it attracts talents through multiple paths including full-time headhunting, industry-university-research talent introduction, and targeted school-enterprise training, and supports a dual-track promotion system and medium- to long-term equity dividend incentive mechanism to stabilize the team.

Moving forward, Digital Twin Tech will leverage its existing core technologies to accelerate ecosystem cooperation in the fields of vehicle systems, robots, and the low-altitude economy, gradually expand the market coverage of standardized products, continuously refine and upgrade its independent domestic 3D twin foundation, and build a domestically developed spatial digitalization ecosystem that covers all scenarios of government governance and industrial innovation.