HCR(SH:688500) Zheng Quan Ri Bao Wang·2025-08-29 07:48Core Viewpoint - The company, Beijing Huichen Zidao Information Co., Ltd. (referred to as "Huichen"), reported a revenue of 202 million yuan in the first half of 2025, marking a year-on-year growth of 14.79%, but recorded a net loss attributable to shareholders of 32.03 million yuan [1][2]. Group 1: Financial Performance - In the first half of 2025, Huichen achieved total revenue of 202 million yuan, representing a year-on-year increase of 14.79% [1]. - The net profit attributable to shareholders was -32.03 million yuan, while the net profit after deducting non-recurring gains and losses was -34.38 million yuan [1]. Group 2: Business Strategy and Development - Huichen is focusing on data collection, analysis, mining, operation, and AI-related businesses, continuously accumulating high-quality commercial clients and data resources [1][2]. - The company is advancing its "ALLINAI" strategy, integrating data, algorithms, and computing power to enhance application scenarios [1][2]. - The average revenue per employee increased by 29.97% year-on-year, reflecting ongoing optimization of business and personnel structure [1]. Group 3: AI Integration and Product Development - AI-related demand from clients has become clearer and is on the rise, with the company effectively integrating AI technology into its data intelligence services, leading to multiple orders and a positive growth trend in innovative business [2]. - The revenue share from AI-driven product services is expected to increase, potentially boosting overall revenue and gross margin [2]. - Huichen has developed the "HuAI Intelligent Application Platform" for AIGC applications, supporting both self-developed and mainstream public service models [3]. Group 4: Computing Power Management - The company has created a "Fusion Computing Power Management Platform" that enables mixed scheduling of heterogeneous devices, reducing reliance on single hardware vendors [3]. - This platform significantly enhances resource utilization and operational efficiency while lowering inference costs [3]. - Huichen has signed a project for an "AI Public Computing Power Platform Software" [3].