GETECH AI Agent Selected in Jiaziguangnian's Key Report, Again Recognized by Think Tank Authority
Recently, GETECH was selected for Jiaziguangnian Think Tank's 'Enterprise AI Agent (Intelligent Agent) Value and Application Report' due to its innovative practices in the industrial AI Agent field. This marks another high recognition from this leading tech media after winning the [Star 100] 2025 China AI Industry Wave Rider Award. The report points out that GETECH's AI Agent solution excels in three major dimensions: complex workflow orchestration, tool integration capabilities, and domain knowledge accumulation, making it a benchmark case for industrial intelligent transformation.
As an authoritative think tank focused on tech industry innovation, Jiaziguangnian's report publicly released China's Enterprise AI Agent Ecosystem Map 1.0 for the first time, aiming to outline core industry players and technology implementation paths, providing reference points for corporate digital transformation. The map covers three major sections: foundational layer, platform layer, and application layer. GETECH was selected for both the 'Platform Layer - Enterprise AI Agent Platform' and 'Application Layer - Industrial Scenarios,' recognizing both the technical foundation accumulated from TCL's over 40 years of manufacturing know-how and the company's implementation value in both platform and application sectors. For example, GETECH's self-developed Octopus Brain Agentic AI platform supports multi-agent collaboration and complex workflow orchestration. This industrial-grade intelligent agent development hub helps manufacturing enterprises quickly build, manage, and deploy agent applications, reconstructing the industrial AI development paradigm through three key principles: 'model as a service, knowledge visualization, and flexible process orchestration.'
Currently, enterprise agents have evolved from auxiliary tools to 'digital employees,' achieving end-to-end process automation through autonomous planning, tool invocation, and closed-loop execution. The report’s case study section highlights GETECH's equipment knowledge base agent 'Xiao Luban,' developed for a leading pan-semiconductor enterprise. This enterprise agent integrates text logs, sensor data, images, etc., solving the inefficiency of traditional fault troubleshooting that relies on manual experience. It covers real-time intelligent decision-making across 4 bases and 100+ departments, improving minor fault handling efficiency by 62% and major fault efficiency by 30%. By reducing fault downtime, it directly boosts the enterprise's annual revenue by tens of millions of RMB. This case validates Jiaziguangnian's assessment that industrial AI agents are upgrading from 'point tools' to 'full-process intelligent partners.'
Undeniably, those who deeply integrate agents into industrial processes will define the standards for next-generation industrial intelligence. Since 2025, GETECH has spared no effort in leveraging its industrial AI implementation capabilities in advanced manufacturing scenarios, innovatively developing enterprise AI solutions across multiple areas such as equipment automation, quality management, energy and carbon plant operations, and logistics automation. For instance, in quality management scenarios, AI-generated 8D reports have been achieved, improving compilation efficiency by 90% and saving labor costs by 80%. These practices provide a clear path for manufacturing from 'AI experimentation' to 'end-to-end intelligence.' The company is also continuously expanding AI agent R&D and supply in advanced manufacturing, not only opening toolchains for agent construction based on its self-developed large model development platform but also collaborating with top institutions like the University of Hong Kong to establish a joint industrial AI lab, focusing on R&D innovation in areas such as supply chain optimization engines, AMHS intelligent material handling scheduling systems, agent and hyper-automation applications, and AI large model and industrial big data platform development. To date, the company has invested over 1 billion RMB in R&D, accumulated 35,000+ industrial mechanism models, and owns 200+ software copyrights and patents, building a full-stack service ecosystem integrating AI, industrial software, and smart equipment.
This selection paves a practical path from concept to value for enterprise agents, serving as a lighthouse guide for the industry. It is predicted that by 2026, cognitive agents will cover 70% of corporate complex decision-making scenarios, and future agents will foster a 'human-machine symbiosis' organizational paradigm. In response, GETECH will continue to strengthen R&D investments in 'industrial intelligent agents,' 'multi-agent collaboration,' and 'hyper-automation,' deepening the precision of industrial AI solutions and extensively supporting China's advanced manufacturing clients in enhancing their digital intelligence levels.
