"未来公司将持续加大在'交通佳鸿'技术研发方面的投入，致力于解决交通行业各类设备互联互通难 题。'交通佳鸿'规划了多个分支版本，覆盖从小微终端、嵌入式终端到服务器等各类硬件环境。同时， 我们也将积极推动'交通佳鸿'技术的商业落地闭环，与各地的交通管理部门、运营企业以及相关技术供 应商紧密合作，共同探索适合不同地区、不同场景的解决方案。我们将通过试点项目积累经验，逐步扩 大应用范围，确保技术的稳定性和可靠性。"陈娇称。 今年8月底，"人工智能+"意见正式发布，有投资者询问该政策对佳都科技的影响。陈娇回答称，该制度 提出"125N"总体架构，以"综合交通运输大模型"和"智能综合立体交通网"重大科技专项为两大基础支 撑，围绕自动驾驶、具身智能列车等五大智能系统布局百大典型场景示范。在此背景下，实时交通流 量、轨交运维日志等高质量场景数据成为垂直大模型训练与产业落地的核心资源。 "对于公司而言，该重磅政策的落地为公司深耕AI应用场景落地、推动智能技术在智能轨道交通、智能 城市交通和企业数字化升级等领域的规模化应用提供了关键指引和支持，对充分利用人工智能创新成 果、更好推动人工智能赋能高质量发展具有重要意义。未来，公司 ...

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]