佳都科技业绩会：加快行业AI大模型技术应用落地

Core Viewpoint - The company reported significant growth in Q1 2025, with a revenue increase of 106.26% year-on-year, achieving 2.254 billion yuan, and turning a profit with a net profit of 120 million yuan, compared to a loss in the previous year [1] Group 1: Financial Performance - The company achieved a revenue of 2.254 billion yuan in Q1 2025, marking a year-on-year increase of 106.26% [1] - The net profit attributable to shareholders was 120 million yuan, indicating a turnaround from a loss in the previous year [1] - The net profit excluding non-recurring items was 10 million yuan, also showing a recovery from a loss [1] Group 2: Business Development - The revenue growth was primarily driven by the completion and delivery of smart rail transit projects in cities such as Guangzhou, Chengdu, Dongguan, Wuhan, and Ningbo [1] - The company has established a comprehensive business layout across the entire industry chain, with smart rail transit products implemented in 46 cities, over 100 lines, and more than 2,200 metro stations, covering a service mileage of over 3,900 kilometers [1] Group 3: Product Innovation - The company launched several new products in 2025, including the AI Signal Control Intelligent Platform and the Cloud Hub Intelligent Networked Spatiotemporal Data Empowerment Platform [2] - The AI Signal Control Intelligent Platform utilizes spatiotemporal decision-making models for precise traffic indicator predictions, enhancing urban traffic signal control [2] - The "Traffic Jiahong" operating system, based on OpenHarmony and openEuler, addresses issues in urban traffic systems, enabling comprehensive connectivity and smart transformation in the transportation sector [3] Group 4: Technological Advancements - The company is focusing on the development of large model technologies, aiming to enhance training efficiency by over 150% compared to early 2024 [4] - The collaboration with DeepSeek is aimed at integrating large model applications in urban rail and police sectors, enhancing operational efficiency and innovation [3][4] - The company is committed to exploring new application opportunities for AI large model technologies in finance, transportation, and energy sectors to foster long-term growth [4]