ZetaTech

Company Profile

Since its founding in 2017, ZetaTech has consistently focused on “AI + SemiconductorsFocusing on the ”manufacturing“ sector, the company positions itself as a ”pioneer in domestic substitution for AI+Semiconductor CIM 2.0/MES solutions.“ Led by Founder and CEO Zhao Wenzheng, the core team comprises senior experts with over 20 years of industry experience, drawn from renowned companies such as HP, IBM, TSMC, and SMIC. As a pan-semiconductor industrial software company that is both a high-tech enterprise and a ”Double Soft” enterprise, Zhetta Technology has leveraged its robust capabilities to earn numerous prestigious designations, including National “Specialized, Refined, Distinctive, and Innovative” (SED) “Little Giant” Enterprise, Gazelle Enterprise, and Potential Unicorn Enterprise.

In terms of capital and industrial planning, ZetaTech has secured strategic investments from state-owned and industrial capital sources such as Optics Valley Financial Holdings, Zhangjiang Technology Venture Capital, and Hefei Industrial Investment, and officially launched its A-share IPO process in June 2026. The company has established a multi-site collaborative layout in the Yangtze River Delta region comprising “Hefei Headquarters + Shanghai Operations Center + Nanjing Innovation and R&D Headquarters + Suzhou Taihu Center.” It has also established joint laboratories with renowned institutions such as Nanjing University and the National Integrated Circuit Innovation Center, building a robust ecosystem that integrates industry, academia, research, and application.

Products & Services

Adhering to a data-driven methodology, ZetaTech has independently developed the next-generation CIM 2.0 full-matrix digital and intelligent product system, which covers the entire process of “control—operation—decision-making” in semiconductor factories and effectively replaces the functions of foreign CIM systems in key modules such as MES, EAP, SPC, YMS, and FDC. Its core product portfolio includes:

• ZetaDMO (Digital Intelligent Manufacturing Operations Series): Spanning production execution, material scheduling, and equipment management, it builds a real-time, controllable “digital twin of factory operations.” It includes modules such as ZetaMES (Manufacturing Execution), ZetaRTD (Real-Time Dispatching), ZetaEAP (Equipment Automation), ZetaQMS (Quality Management), and ZetaPMS (Equipment Maintenance), enabling end-to-end traceability, early warning capabilities, and optimization.
• ZetaCube (Digital Intelligent Analysis Series): Breaks down barriers between multiple data sources to support quality traceability, production capacity analysis, and cost control. Core products such as ZetaAYS (Automated Yield Analysis), ZetaDMS (Defect Management Analysis), and ZetaFDC (Equipment Failure Detection and Classification) provide management with transparent and accurate information to support decision-making.
• ZetaAIP (Artificial Intelligence Applications Series): Focusing on AI applications such as process optimization, defect detection, and root cause identification. Leveraging the “ZetaAgent Large Language Model Application Platform,” the ZetaDNAgent intelligent agent for defect root cause analysis, and the ZetaADC automated defect classification system, we transform industry know-how into algorithmic models to significantly improve yield rates and equipment utilization rates.

core technology

ZetaTech is committed to full-stack, in-house development of 100%, ensuring autonomy and control over its core technologies. Its technological foundation deeply integrates industry know-how with cutting-edge ABC (AI, Big Data, Cloud) technologies:

• AI-Native Architecture and Industrial Large Models: Unlike traditional “siloed” modules, Zeta Technology builds a unified data foundation from the ground up, embedding AI capabilities into every stage of the process—from production scheduling to yield analysis. Its proprietary ZetaAgent intelligent agent platform can freely access data across the entire production line and dynamically combine operational steps, enabling it to adapt to production line process adjustments without the need for redeveloping code.
• Massive Data Processing and High-Speed Analysis: Leveraging big data and distributed technologies, the system has the capacity to collect hundreds of billions of data points per day and process petabytes of data. For example, large files in the gigabyte range can be loaded into the database in a matter of seconds, and the yield analysis cycle—which traditionally took several days—has been reduced to a matter of hours or even as little as 20 seconds.
• Cloud-Native and Microservices Architecture: Based on K8S cloud-native and Spring Cloud microservices technologies, the system supports elastic deployment and automated operations and maintenance across multiple cloud platforms and operating systems. With a system response time of less than 1 second for 951 TP and 4 T, it ensures stable, 24/7 operation throughout the year.

development prospect

As the semiconductor industry in the Yangtze River Delta and other regions enters a new cycle of capacity expansion, there has been a surge in demand for domestic CIM systems that offer “high reliability and fast response times.” ZetaTech is evolving from a “guardian” of capacity expansion to a “collaborator” in the upgrade to smart manufacturing.

Looking ahead, ZetaTech will continue to focus on “AI + Semiconductor CIM 2.0” as its core strategy, adopting a dual-drive approach that combines existing and new growth to achieve full-stack CIM coverage. As the IPO process moves forward and the company’s capital strength grows, ZetaTech will further increase R&D investment in semiconductor CIM software and industrial AI. By collaborating with partners across the entire industry chain, the company aims to propel China’s semiconductor manufacturing sector from “playing catch-up” to “keeping pace,” and is committed to becoming an industry leader that sets new global standards of excellence in manufacturing and establishes fully autonomous, self-optimizing factories.