Company News

On May 21, Getech appeared at the 2025 STcon Smart Technology and Application Conference – AIMCon Industrial Technology and Application Seminar. Marketing Director Yang Li was invited to attend and shared the company's planning layout and in-depth service practices in industrial AI deep empowerment, together with representatives from the industrial AI academia and industry such as the Hong Kong Applied Science and Technology Research Institute and National Chip Technology, focusing on the practical perspective of AI, integrating specific industrial scenarios, and expanding horizons for the accelerated development of new quality productivity in industry.

Currently, artificial intelligence is reshaping the manufacturing industry with an unstoppable momentum. Industrial AI, in the process of continuous deepening of application stages, has gone through three major stages: point empowerment, scenario empowerment, and comprehensive application. Yang Li believes that industrial enterprises are facing a 'critical moment' in the evolution of AI landing towards comprehensive intelligent applications. To achieve leapfrog development, it is necessary to overcome multiple challenges such as insufficient quantity and quality of industrial data, lack of accuracy in model application, and high costs.

It is undeniable that promoting the deep integration of large models with specific industrial scenarios has become one of the keys to the successful landing of AI. Yang Li emphasized that due to the characteristics of fewer parameters, high professionalism, and strong landing ability, industrial large models in the design process combined with specific scenarios need to further meet the special requirements put forward by specific industrial scenarios such as knowledge-intensive, data-intensive, interaction-intensive, creation-intensive, and change-intensive for digitalization, including the use of unstructured text knowledge, meeting diverse human-system interactions, completing digital tasks involving natural language generation and verification, and enabling AI to flexibly respond to changes in sample categories.

To achieve the ultimate pursuit of stability and accuracy in manufacturing, Yang Li pointed out that in addition to meeting the basic requirements in computing power, algorithms, and data for industrial AI landing, it should also integrate domain knowledge and equipment experience from industrial sub-sectors, achieving the continuous collaborative development of comprehensive capabilities in the five major areas of 'ABCDE', namely Algorithm, Big Data, Computing, Domain knowledge, and Equipment, constantly breaking through technical feasibility and opening up landing paths from technology to more specific industrial scenarios.

As an industrial AI leading enterprise strategically incubated by TCL, Getech leverages the group's over 40 years of deep manufacturing know-how practice, focuses on the strategic architecture of 'AI + industrial software + intelligent equipment', adheres to the development thinking of 'technology + scenario + ecology', with technology as the anchor and ecology as the sail, empowers scenario integration into practice, and creates full-link end-to-end industrial intelligent solutions for the pan-semiconductor industry. On the technology side, through the independently controllable 'Octopus Brain' Agentic AI platform, it builds a technical engine for agent engineering construction and lays a solid AI technical foundation for vertical domain large models. On the scenario side, with scalable intelligent manufacturing industrial software and hardware products and AI Agent applications, it achieves cross-industry and cross-scenario empowerment, helping AI deeply embed into specific industrial production and manufacturing scenarios, and accelerating the landing of industrial AI applications. On the ecology side, by gathering multiple resources from 'industry, academia, research, and application', it gradually forms an integrated AI innovation ecology. In April this year, Getech jointly established an Industrial AI Joint Laboratory with the University of Hong Kong, deeply integrating the AI research advantages of the University of Hong Kong with Getech's service practice advantages to promote underlying AI technological innovation.

From technology 'take-off' to value 'landing', the deep integration of AI technology represented by large models with industrial scenarios is becoming an anchor point for breaking through in manufacturing. In this regard, Yang Li scenically demonstrated the breakthrough route of industrial AI services with diverse cases of AI landing. In the practice of serving the semiconductor display leading enterprise TCL Huaxing, the company achieved deep empowerment of industrial AI based on intelligent application scenarios of five major digital platforms including R&D, supply chain, product, sales, and ERP. For example, in the product R&D scenario, through AI-empowered product simulation platform to achieve product digital twin, in 2024, it empowered the OLED simulation project to achieve revenue of over 50 million yuan; in the quality management scenario, through the AI industrial vision inspection system to automatically detect, classify, and handle defects, the defect detection accuracy rate increased to 95%, saving about 50 million yuan annually. Additionally, as the semiconductor industry where the company strategically focuses, Getech provides comprehensive applications such as CIM AI Insight, Chat Insight, AI FDC, ChatBI, etc., helping the semiconductor industry achieve the production goal of 'high rhythm, zero defects', empowering advanced manufacturing to improve quality and efficiency, reduce costs and speed up. In specific application practices, through the construction of conversational ChatBI, it saves 90% of data query, analysis, and interpretation time; providing AI-enhanced group FDC solutions, helping a leading semiconductor enterprise achieve cross-factory equipment difference analysis and specification optimization.

The surging wave of artificial intelligence is accelerating the formation of new quality productivity in manufacturing. As a leading practitioner of AI empowering new industrialization, Getech will continue to explore innovation, improve the AI technology ecology, achieve industrial AI technology empowerment in broader application scenarios, and continuously promote the transformation of technical potential into kinetic energy for high-quality development of manufacturing.