Company News

On May 16, the Fourth Changsha International Construction Equipment Exhibition's Intelligent Development Promotion Conference—Smart Manufacturing Technology Empowering Construction Equipment Development, hosted by the Changsha Municipal People's Government, was grandly held at the Changsha International Convention and Exhibition Center. Getech was invited to attend, with Marketing Director Yang Li delivering a keynote speech titled "Breaking Through with Industrial AI: Accelerating New Quality Development Through Practical Implementation." She joined global leading companies such as Dassault Systèmes, Teramek, and Advantech in discussing new pathways for the implementation of industrial artificial intelligence technology. Through real-world examples, Getech, as a "practitioner," interpreted the practical path of industrial AI from technological exploration to business implementation, providing a replicable reference for attending enterprises and even the high-quality development of Chinese manufacturing.

Currently, global manufacturing is amidst a wave of AI-driven production revolution. In her speech, Yang Li delved into the evolution of AI technology in the industrial field and the development trends of industrial large models. From traditional AI limited by expert systems in the early days to the revolutionary explosion of pre-trained large models in the era of generative AI, each leap in AI technology has brought new opportunities and challenges to industrial digital transformation. Particularly in production management, industrial AI applications account for over 57%. On one hand, this is due to the significant effectiveness of scenario demands, directly linked to corporate economic benefits; on the other hand, the relative simplicity of collecting production process data and equipment operation data, along with strong data accessibility, provides "fertile ground" for industrial AI implementation. Taking quality management as an example, AI can be used to identify and analyze product quality, while in equipment management, it enables fault diagnosis and prediction.

However, the implementation of industrial AI is not without challenges. Yang Li pointed out that industrial AI implementation still faces multiple hurdles, including insufficient data quality, unstable model accuracy, weak scenario generalization capabilities, and high trial-and-error costs, leading many enterprises to remain at the "point-based empowerment" stage. "The ultimate goal of industrial AI is not a technological competition but a return to business value," Yang Li emphasized. She stressed the need for continuous integration of "ABCDE"—algorithm, big data, computing power, domain knowledge, and equipment understanding—to foster synergistic development and build an implementation paradigm deeply integrated with industrial know-how. This perspective resonated strongly with attending enterprises and provided key insights for the industry from "cognition" to "practice."

As an AI-driven industrial intelligent solutions provider strategically incubated by TCL, Getech relies on AI, industrial software, and intelligent equipment as its three pillars, offering end-to-end industrial intelligent solutions covering R&D, production, operations, equipment, quality, energy and carbon, and logistics for clients in the pan-semiconductor and other industries. Yang Li emphasized that Getech's "decoding key" lies in its solid technological foundation, deep industrial know-how + scenario expertise, comprehensive product matrix, and thriving ecosystem collaboration.

On the technological front, Getech has built up strength over time and independently developed the "Octopus Intelligence" Agentic AI platform. Through technologies such as multimodal modeling, customizable agents, and large model RAG, it achieves data feedback, scenario-specific small models, and vertical domain large models, accelerating the supply and scenario-based validation of industrial AI technology. Long-term efforts have enabled the company to offer full-cycle technical services around its industrial AI platform, covering value scenarios from lean planning, data governance, application integration, to implementation and operation maintenance. Its digital service and delivery capabilities consistently place it in the first tier in China's pan-semiconductor field. In April this year, Getech partnered with the University of Hong Kong to establish a joint industrial AI laboratory, promoting underlying technological innovation. By engaging top experts to lead collaborative R&D and sharing scientific research achievements, it aims to build a digital foundation for the intelligent upgrade of global manufacturing. This trinity model of "technology + scenario + ecosystem" serves as a key support for the solid implementation of industrial AI.

In terms of empowerment practices, Getech has successfully delivered solutions to several leading advanced manufacturing enterprises, demonstrating the strong market competitiveness of its industrial AI business. In client service practices, such as with TCL CSOT, industrial AI services have covered five major digital platforms: R&D, supply chain, product, sales, and ERP. These efforts have empowered LCD R&D simulation projects to achieve benefits of over 28 million, increased defect detection accuracy to 95%, and improved equipment minor fault decision efficiency by 62%, validating the feasibility of moving from single-point breakthroughs to global optimization. Additionally, in the semiconductor industry, through optimized scheduling and management of intelligent centralized control, client operational costs have been reduced by 30%; a corporate knowledge Q&A system based on large models has been established to achieve group-level knowledge sharing; through Chat Insight's conversational and navigational intelligent query and interpretation of data conclusions, and based on Chat YMS, automatic decision-making and actions such as yield root cause positioning and preemptive warnings have been realized, helping semiconductor clients achieve comprehensive CIM intelligence.

Currently, Chinese manufacturing is in the deep water zone of digital transformation, and drawing on different pathways can maximize the value of industrial AI implementation. Getech is willing to actively exchange and collaborate with leading enterprises to explore application paths of artificial intelligence technology in advanced manufacturing and accelerate the intelligentization process. In the future, Getech will continue to uphold its AI-driven philosophy, deepen technological innovation and practical application, and work hand-in-hand with industry partners to "open new prospects" for smart manufacturing.