Recently, XiwiTech completed a Series A funding round of several tens of millions of RMB. This round was led by Yonghua Capital, with participation from industrial investors. Moving forward, the company will focus its efforts on the large-scale implementation of its core products, the Xiwitab industrial software and the "Ultimate Master" industrial agent, as well as on global market expansion. Technological R&D and the integration of industry, academia, and research serve as the core support to achieve this goal—recently, XiwiTech established a joint Industrial AI Lab with the Hong Kong University of Science and Technology (Guangzhou). This initiative has not only garnered significant attention and media coverage from government, industry, academia, and research sectors but also deeply aligns with the national "AI + Manufacturing" strategy, providing solid collaborative support from industry, academia, and research to tackle core industrial AI technologies and strengthen product competitiveness.
The 2026 Government Work Report explicitly proposed for the first time to "create a new form of intelligent economy," marking the nation's entry into the concrete implementation phase for artificial intelligence development, with deepening and expanding "AI+" as a core action goal. Currently, China's manufacturing industry is undergoing a profound transformation from "efficiency-first" to "quality-first." Coupled with top-level policy drivers like "domestic substitution" and "AI + manufacturing," a billion-level industrial AI software market is emerging. According to the strategic direction of the 15th Five-Year Plan, the state will promote the simultaneous development of general-purpose large models and industry-specific models, strengthen core industries of the digital economy, enhance the level of industries such as industrial software, facilitate the "intelligent transformation, digitalization, and networking" of manufacturing, implement intelligent manufacturing projects and industrial internet innovation development projects, and comprehensively advance the construction and large-scale application of networks, identification, platforms, data, and security systems. With its unique product matrix combining "product lifecycle industrial process data + statistical analysis software + AI agents," XiwiTech is emerging as a frontrunner in this wave.
Deep Substitution: Pursuing "Higher Cost-Effectiveness" Beyond Mere Usability
The domestic substitution of industrial software has long been plagued by the challenge of being "usable, but not good to use." XiwiTech's self-developed core data analysis software, Xiwitab, has chosen a difficult but correct path: achieving full-stack self-development from underlying mathematical libraries and solvers to over 500 types of statistical algorithms, directly competing with the industry leader, Minitab.
"We worked with our clients to verify approximately 70 core functions of Minitab one by one. For key modules like hypothesis testing and process capability analysis, clients required that our calculation results match Minitab's to the fifth decimal place. Fortunately, our product withstood the validation," said Peng Shan, CTO of XiwiTech. More importantly, Xiwitab offers a "seamless transition" experience with high cost-effectiveness, greater flexibility, and exceptional iterative efficiency. Currently, the software has been successfully adopted by demanding Apple supply chain companies and several automotive OEMs, undertaking core tasks ranging from measurement system analysis to experimental design. It is worth noting that, unlike traditional quality statistical analysis tools like Minitab, which suffer from solving isolated problems and analytical lag, XiwiTech provides a full-stack, self-developed, end-to-end one-stop solution from data to analysis to AI agents, truly closing the loop to address core customer pain points in quality management and process improvement.
The confidence behind this substitution stems from a deep encoding of "industrial knowledge." Leveraging its profound accumulation of industrial knowledge and its independently controlled, cutting-edge industrial software products, XiwiTech has won the national finals award for three consecutive years at the Industrial Software Competition, a top-tier event in China's industrial software sector. The company has also participated in the formulation of the national "CAQ Computer-Aided Quality" standard. Its underlying architecture based on MBQ (Model-Based Quality) can automatically convert CAD drawings and process requirements into inspection plans, achieving an extreme "left shift" and "forward shift" in quality management. This represents a technological high ground long monopolized by international giants like Siemens.
Intelligent Evolution: From "Tool Software" to "AI Colleague"
If Xiwitab achieves functional parity for domestic software, then XiwiTech's fully self-developed "Ultimate Master" industrial agent platform aims to define the interaction paradigm for next-generation industrial software.
General-purpose large models suffer from "hallucinations" in industrial scenarioses. In contrast, "Ultimate Master" pioneered a "separation of thinking and computation" architecture: the agent is responsible for understanding problems and planning analytical paths, while Xiwitab serves as a solid computation engine, ensuring every statistical result is accurate. This fundamentally resolves the reliability challenge of AI in complex industrial mathematics.
"We are solidifying the experience of quality experts, statistical experts, and process experts into reusable agents. In the future, frontline engineers will only need to ask questions in natural language to receive expert-level analytical and decision-making support," said Jane Jin, CEO of XiwiTech, envisioning the future of agents. This perfectly aligns with the national direction of "creating high-level industrial agents" as outlined in the "Implementation Opinions on the Special Action for 'AI + Manufacturing'."
Rare Moat: A Flywheel Powered by Top-Tier "Industrial + AI" Composite Genes
XiwiTech's moat is constructed from a set of rare composite elements:
Team Gene: The core team hails from global industrial software leaders like Siemens and PTC. They have also brought in Professor Fugee Tsung, a member of the International Academy for Quality and professor at HKUST, as Chief Expert Advisor, forming a golden triangle of "industry + technology + academia."
Ecosystem Positioning: The company is Huawei Industrial Software Cloud's strategic partner in digital quality management and a Huawei Cloud Global Co-creation Partner, engaging in joint product development and market expansion. This provides critical brand endorsement and access to key clients in its early stages.
Data Flywheel: Through the XiwiCloud-QMS platform, serving hundreds of customers, XiwiTech continuously accumulates massive volumes of high-value industrial process data. This data feeds back into its industrial knowledge graph and agent training, creating a closed loop that "gets smarter with use."
Business Growth: Currently, XiwiTech serves dozens of large and ultra-large enterprises and their supply chains, deeply covering core sectors such as new energy, electronics and high-tech, semiconductors, high-end equipment, and aerospace. Through a flexible combination of SaaS subscriptions, licensing, and MaaS Token (pay-per-use) models, XiwiTech's business and user base are growing rapidly.
Tang Zheng, Managing Director of lead investor Yonghua Capital, stated: "During this critical transition period towards intelligent and high-quality development in manufacturing, XiwiTech has demonstrated the ability to delve deep into industrial scenarioses, insisting on full-stack self-development from underlying mathematical libraries and solvers to hundreds of statistical algorithms, directly confronting the most stringent data analysis and reliability challenges. The company exhibits industry-leading levels in both the import substitution of industrial foundational software and the model innovation of quality agents. This ability to 'walk on two legs' allows it to occupy a relatively rare niche in the new generation of industrial software competition. We believe XiwiTech will generate synergies with the advanced manufacturing industry chain enterprises we have already invested in, jointly accelerating the intelligent transformation and upgrading process of China's manufacturing industry."
Looking ahead, XiwiTech's path is clear: Horizontally, it will rapidly replicate its proven solutions to new quality productive forces industries such as new energy, semiconductors, and aerospace; Vertically, it will drive the evolution of "Ultimate Master" from analytical decision-making to prediction and even autonomous optimization. The company has planned its globalization strategy, with its products already supporting multiple languages including English and Vietnamese, and has already gone overseas alongside several global clients.
The competition in industrial software has evolved from a contest of code functionality to a competition in the encapsulation of industrial knowledge and the level of intelligence. XiwiTech's story proves that "knowledge agents," honed in the most complex scenarioses of China's manufacturing industry, are not only powerful tools for substitution but also engines driving transformation.
