黄伟带领的云知声，顺利完成董事会换届。 12月10日，他签发公告，公示换届事宜。他本人续聘为总经理，拿120万元年薪，梁家恩继续担任董事长。 黄伟是信阳人，5个多月前，跟中科大师弟梁家恩一起，敲响港交所的开市锣。 这对师兄弟，加上康恒、李霄寒，四位中科院与中科大出身的博士，继续担任执行董事，分工明确、架构稳定。黄是 最大的个人股东，持有21%股权。 至12月12日收盘，云知声市值超300亿港元。 做语音识别起家，云知声踏足AI多年，四位博士正围绕"数字专家"下功夫，要在医疗等更多垂直行业，落地专业级大 模型及智能体。 "围绕智慧医疗与智慧生活两大核心业务，在稳固主阵地的同时，重点拓展智慧座舱、智慧交通等生活板块。"云知声 方面向《21CBR》记者表示。 加码医疗 黄伟看重AI医疗赛道。 10月初，云知声公告，中标北京友谊医院AI能力平台等多个智能体项目，特意介绍医疗业务进展，秀一波肌肉。 云知声提供的AI赋能医疗解决方案，包括病历语音输入、病历质控、医保支付管理等板块，通常作为定制项目交付。 截至2024年底，我国共有医院3.9万家，智能化升级的潜在需求巨大。 黄伟团队已打入北京协和医院、北京友谊医院等三甲医 ...

Core Insights - Company reported strong growth momentum in its first financial report since listing, with a revenue of 405 million RMB for the first half of 2025, representing a year-on-year increase of 20.2% [1] - The large model business experienced a remarkable revenue surge of 457% year-on-year, reaching nearly 100 million RMB, becoming the main driver of the company's performance [1][4] - Recent government policies align closely with the company's core business, providing robust support for future development [1][6] Business Growth Drivers - The core driver of the company's growth is the continuous technological upgrades and commercialization of the Shanhai large model [2] - The Shanhai model has undergone significant advancements since its upgrade to the GPT architecture in May 2023, integrating cutting-edge technologies such as retrieval-augmented generation and multi-modal fusion [2] - The model has achieved three major technological breakthroughs, enhancing its capabilities in mixed reasoning, multi-modal input, and context protocol integration [2] Revenue Breakdown - Daily life scenarios are the main revenue source, contributing 335 million RMB, accounting for 82.7% of total revenue [4] - The medical scenario generated 70 million RMB, representing 17.3% of total revenue, with significant growth quality [4] - The medical applications based on the Shanhai model have been successfully implemented in multiple healthcare institutions, improving service efficiency and quality [4] Policy Alignment - The company's business strategy is well-aligned with national policy directions, particularly the recent "Artificial Intelligence+" initiative [6] - The policy aims for deep integration of AI with six key sectors by 2027, emphasizing the importance of smart terminals and healthcare applications [6] - This policy environment creates vast growth opportunities for the company, leveraging its technological advancements and practical experience in the smart terminal and healthcare sectors [6] Future Outlook - The company plans to continue advancing its general large model foundation, expert-level models, and chip optimization technologies [8] - With dual support from technological development and policy backing, the company is expected to strengthen its core competitiveness and sustain positive performance [8]

Core Insights - The article emphasizes the role of digital transformation in enhancing grassroots governance in Jiangsu Province, particularly through the "Smart Huai Gao" system, which aims to address issues like resource shortages and information lag in traditional governance [1][6]. Group 1: Digital Transformation in Governance - The "Smart Huai Gao" system is a pilot project in Jiangsu Province that leverages the Yunzhisheng Beast Tooth Intelligent Platform and BPM workflow engine to transition grassroots governance from traditional methods to more efficient and intelligent approaches [1][6]. - The system aims to achieve the governance goal of "more data movement, less running for the masses," thereby improving service delivery and operational efficiency [1]. Group 2: Features of the Smart Huai Gao System - The platform supports core functions such as grid management, data maintenance, personnel management, and workflow processing, utilizing AI algorithms for intelligent task assignment and real-time tracking of work orders [3]. - A BI dashboard serves as the decision-making hub, integrating 18 core indicators related to population distribution, industry dynamics, and public demands, providing comprehensive analytical support through data visualization [3]. Group 3: User Interaction and Service Efficiency - The system employs a "mini-program + governance platform + command center" mechanism, creating a full-chain digital governance system that enhances service accessibility for the public and local officials [4]. - The platform allows grassroots personnel to submit requests in natural language, which are processed within 30 seconds, ensuring efficient online management of work orders [4]. Group 4: Impact and Results - Since the implementation of the system, governance efficiency in Huai Gao Town has significantly improved, with a complete data link established across four administrative levels and full coverage of staff accounts [6]. - Between January and April 2025, the town experienced a 22% year-on-year decrease in petition volume and a 2.33% decline in hotline work orders, indicating enhanced efficiency and satisfaction in handling public requests [6].