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Among the platform members, Guangshu Technology won the Third Prize in the 2025 Artificial Intelligence and Data Technology Application Innovation Competition.
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Among the platform members, Guangshu Technology won the Third Prize in the 2025 Artificial Intelligence and Data Technology Application Innovation Competition.
Shanghai Cooperation Organization Time
On February 6, 2026, the “2025 Artificial Intelligence and Data Technology Application Innovation Competition Final Results Release & Digital Intelligence OPC Ecosystem Community Inauguration Ceremony” was held with great solemnity in Yangzhou, Jiangsu. After 137 days of intense competition, Chongqing Zhongguang Shuke Technology Group Co., Ltd. (hereinafter referred to as “Zhongguang Shuke Group”), a member unit of the Natural Disaster Prevention, Mitigation, and Rescue Working Committee under the Shanghai Cooperation Organization’s Multifunctional Economic and Trade Platform, stood out among more than 160 participating enterprises and teams nationwide with its project “Zhongguang Shuke AI Agent: Empowering Enterprise Intelligent Agent Application Development.” The company successfully won the Third Prize in the Data Technology Innovation Track, showcasing the strong technical capabilities and demonstrating the digital intelligence leadership of Chongqing-based enterprises!
This competition is jointly hosted by the China Academy of Information and Communications Technology and the Yangzhou Municipal Government. In close alignment with the core requirement in the “Suggestions of the CPC Central Committee on Formulating the 15th Five-Year Plan for National Economic and Social Development” to “accelerate innovation in digital and intelligent technologies such as artificial intelligence,” the event features four distinct tracks: data technology innovation, innovation in high‑quality dataset and trusted data space development, industry‑wide large model innovation, and industrial agent and embodied intelligence innovation. The competition has brought together top enterprises and research teams from across the country to vie for supremacy, ultimately awarding one Grand Prize, four First Prizes, eight Second Prizes, and eight Third Prizes. Each honor reflects the industry’s high regard for technological innovation and its ability to deliver real-world applications, while further underscoring the authority and industry influence of this competition.
Zhongguang Shuke Group has always been grounded in the national strategy for developing the digital economy, closely aligning with the “Artificial Intelligence Plus” initiative. The company regards AI and data technology innovation as its core development direction, focusing on addressing the pain points of enterprise intelligent transformation. By systematically advancing the research, development, and deployment of AI Agents, it has charted a clear path for technological innovation and industrial empowerment. This enterprise-grade AI agent development platform, built on a large-model technology stack, boasts the key advantage of significantly lowering the barrier to entry for enterprises to build AI applications through low‑code/no‑code development paradigms and AI‑native toolchains, enabling more businesses to conveniently benefit from digital and intelligent transformation. The system deeply integrates large language models (LLMs), intelligent workflow engines, knowledge‑enhanced retrieval‑augmented generation (RAG) architectures, plugin‑based extensibility, MCP tools, model fine‑tuning capabilities, and an enterprise‑level security framework. It can flexibly support complex logic orchestration—including loops, parallel processing, and conditional branching—as well as visualized process design. At the same time, it comes pre‑loaded with multiple types of plugins and knowledge‑base management features, is compatible with mainstream large models, and can rapidly deploy intelligent agents tailored to various industry scenarios. Looking ahead, the company will take this competition as an opportunity to stay closely aligned with national industrial development priorities, continuously deepen iterative advancements in AI Agent technology, expand into more industry application scenarios, strengthen collaborative partnerships among industry, academia, and research institutions, drive the broader digital and intelligent transformation of industries, and contribute core strength to the high‑quality development of the digital economy.
(Provided by the Platform Committee on Natural Disaster Prevention, Mitigation, and Rescue)
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