Core Insights - The release of "Renhe Large Model 2.0" industry AI agent marks a significant advancement for the company, transitioning from pilot applications of AI technology to a comprehensive promotion of "governance productivity" in smart city management [1][3] - The new AI agent integrates data, algorithms, and applications, facilitating a paradigm shift from mouse operations to natural language interactions across various business systems [2] Industry Applications - The "Renhe Large Model 2.0" AI agent is designed to address core business challenges in five major industry scenarios, including efficient regulation of construction waste, a new model for law enforcement supervision, proactive safety systems for urban infrastructure, intelligent applications for government hotlines, and low-altitude governance initiatives [2] - The AI agent has already been implemented in multiple cities, including Beijing, Shenzhen, Tianjin, Fujian, Chongqing, and Nanjing, showcasing its capability to transform creative potential into tangible governance productivity [2] Strategic Partnerships - The company has partnered with leading industry players such as Huawei, Baidu, and Hikvision to launch four deeply integrated joint solutions, indicating a new phase in smart city ecosystem collaboration [2] Business Model and Revenue Potential - The introduction of the government AI agent is expected to enhance the company's business model by providing continuous AI computing power, model optimization, and operational services, potentially leading to more stable and sustainable subscription revenue [3] - This development is anticipated to improve the company's profitability and market value, positioning it to capture a larger market share in the smart city sector [3]

Core Viewpoint - Digital Zhengtong (300075.SZ) is set to hold a conference on October 30, 2025, focusing on the launch of the "Renhe Large Model 2.0" industry AI agent, emphasizing the integration of large model technology in smart city governance [1] Group 1: AI Agent Capabilities - The "Renhe Large Model 2.0" industry AI agent includes three foundational AI agents: Intelligent Query Agent, Intelligent Report Agent, and Wukong Brain Agent [1] - The Intelligent Query Agent leverages over 20 years of management experience from more than 5,000 projects, integrating production data and enhancing statistical results through a comprehensive indicator and rule library [1] - The Intelligent Report Agent transforms data into deep insights and decision-making value, creating a knowledge base that covers data indicators, root cause analysis, and management recommendations [2] Group 2: Urban Governance Applications - The Wukong Brain Agent consolidates experience from over 300 city brain projects, enabling intelligent control of urban management through natural language interaction and data insights [2] - The "Renhe Large Model 2.0" industry AI agent drives urban governance from reactive measures to proactive warnings, enhancing efficiency in various sectors such as construction waste management and administrative law enforcement [2] - The initiative aims to develop a proactive protection system for urban lifelines, enabling efficient hazard detection and pipeline service life warnings [2]

Core Insights - Digital Zhengtong (300075.SZ) announced the upcoming release of the "Renhe Large Model 2.0" industry AI agent on October 30, 2025, focusing on the integration of large model technology in smart city governance [1] - The launch signifies a transition from pilot applications of AI technology to a comprehensive promotion of "governance productivity" through the development of a "data algorithm-application" technology matrix [1] Group 1: AI Agent Capabilities - The "Renhe Large Model 2.0" includes three foundational AI agents: Intelligent Query Agent, Intelligent Report Agent, and Wukong Brain Agent [1] - The Intelligent Query Agent leverages over 20 years of management experience from more than 5,000 projects, facilitating rapid data retrieval and precise analysis by constructing a metrics and rules database [2] - The Intelligent Report Agent transforms data into deep insights and decision-making value, creating a comprehensive knowledge base that enables multi-dimensional analysis and customized reporting [2] Group 2: Urban Governance Applications - The Wukong Brain Agent consolidates experience from over 300 city brain projects, enabling intelligent control of urban management through natural language interaction and data insights [2] - The "Renhe Large Model 2.0" also includes industry agents across five key areas of urban governance, shifting from reactive management to proactive warning systems [2] - Specific applications include efficient regulation of construction waste, a closed-loop supervision model for administrative law enforcement, proactive safety management systems, intelligent applications for public service hotlines, and the development of smart low-altitude governance [2]

Core Viewpoint - The release of "Renhe Large Model 2.0" industry intelligent agent marks a significant milestone for the company, showcasing the integration of AI technology in smart city governance and the transition from pilot demonstrations to widespread application of "governance productivity" [1][2] Group 1: Product Launch and Technology Integration - The "Renhe Large Model 2.0" focuses on the deep integration of large model technology in smart city governance, indicating a technological upgrade and a shift in governance logic [1] - The new product is based on the company's extensive experience in urban governance, combining data resources with cutting-edge large model technology to drive business model innovation [2] Group 2: Business Model Transformation - The company is transitioning from a traditional "project-based" software provider to a "platform + operation" service provider, with the AI agent as a core product [2] - The AI agent is expected to provide stable and sustainable subscription revenue, enhancing the company's profitability and market value [2] Group 3: Collaboration and Ecosystem Development - The company has partnered with several industry leaders to launch four joint solutions that integrate "Renhe Large Model 2.0" with partner products, marking a new phase in the smart city ecosystem collaboration [2] - The application scenarios of "Renhe Large Model 2.0" align closely with the guidelines issued by the Central Cyberspace Affairs Commission and the National Development and Reform Commission, indicating a strategic fit with national policies [1]

Core Viewpoint - The release of "Renhe Large Model 2.0" industry intelligent agent marks a significant milestone for the company, showcasing the integration of AI technology in smart city governance and the transition from pilot demonstrations to widespread application of "governance productivity" [1][2] Group 1: Product Launch and Technology Integration - The "Renhe Large Model 2.0" focuses on the deep integration of large model technology in smart city governance, indicating a technological upgrade and a shift in urban governance concepts [1] - The new product is based on the company's extensive experience in urban governance, combining data resources with cutting-edge large model technology to drive business model innovation [2] Group 2: Business Model Transformation - The company is transitioning from a traditional "project-based" software provider to a "platform + operation" service provider, with the AI agent as a core product [2] - The AI agent is expected to provide stable and sustainable subscription revenue, enhancing the company's profitability and market value [2] Group 3: Collaboration and Ecosystem Development - The company has partnered with several industry leaders to launch four joint solutions that integrate "Renhe Large Model 2.0" with partner products, marking a new phase in the smart city ecosystem collaboration [2] - The application scenarios of "Renhe Large Model 2.0" align closely with the guidelines issued by the Central Cyberspace Affairs Commission and the National Development and Reform Commission, indicating a strategic fit with national policies [1]