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佳都科技业绩会:加快行业AI大模型技术应用落地
Zheng Quan Shi Bao Wang· 2025-05-26 11:28
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]
佳都科技: 佳都科技关于2025年第一季度业绩说明会召开情况的公告
Zheng Quan Zhi Xing· 2025-05-26 11:17
Meeting Overview - The company held a Q1 2025 earnings presentation on May 26, 2025, from 16:00 to 17:00 at the Shanghai Stock Exchange Roadshow Center [1][2] - Key executives including the Chairman and CEO Liu Wei, CFO Mo Xiuchun, and independent director Lai Jianhuang participated in the meeting [2] Financial Performance - The company reported a revenue of 2.254 billion yuan, a year-on-year increase of 106.26% [2] - The net profit attributable to shareholders was 120 million yuan, marking a return to profitability [2] - The net profit excluding non-recurring gains and losses was 10.34 million yuan, also indicating a return to profitability [2] New Product Launches - The company introduced several new products, including the AI Traffic Control Intelligent Agent Platform and the Cloud Hub Intelligent Connected Data Empowerment Platform [2][3] - The AI Traffic Control Intelligent Agent Platform enhances urban traffic signal control through precise traffic indicator predictions [3] - The Cloud Hub platform integrates various traffic data sources to support comprehensive traffic operation metrics [3] Collaboration with Deepseek - The company has integrated its products with Deepseek, enhancing its AI capabilities in the transportation sector [4] - The training efficiency of the Zhixing large model has improved by over 150% compared to early 2024 [4] - The company plans to further strengthen its core competitiveness in the AI and transportation sectors [4] Progress in Rail Transit - The company’s smart rail transit product line includes core products for network command centers and smart stations [5] - The company has participated in the construction of smart subway lines and stations across 46 cities globally, covering over 2,200 subway stations [5] - The revenue growth in the rail transit sector is attributed to the successful completion of smart transportation projects in cities like Guangzhou and Chengdu [5]