以下文章来源于邱处机 ，作者邱鑫浩 邱处机 . 2025年7月29日，一份表彰名单引发关注。 100名非公有制经济人士获得"优秀中国特色社会主义事业建设者"称号，上海仅4人入选，黑湖科技创始人周 宇翔名列其中。 而在10月14日的总理座谈会上，周宇翔也受邀发言，分享自己在工业科技领域的创新实践。 这位年仅34岁的四川小伙，带领团队开发出系列工业互联网产品，帮助超过3.4万家中国制造企业实现数字 化转型，让数据驱动的"新质生产力"，在车间一线落地生根。 专门研究商业牛人 01 德国工厂的震撼 故事始于一次跨国收购案。 出生四川、大学毕业于美国达特茅斯学院计算机专业的周宇翔，曾在华尔街投行工作。 在一次陪同南车(现在的中国中车)去德国收购汽车减震器工厂的项目中，他看到了中外制造业的巨大差距。 "德国工厂的管理者坐在计算机前分析数据，通过数据发现问题、解决问题。而中国工厂还停留在'走动式管 理'阶段，管理者每天要在车间走三、四趟，靠目视化管理。" 这个发现让周宇翔意识到，中国制造业在数字化管理层面落后了一大截。随着人力成本上升，中国企业必 须提升信息化水平，这个差距就是重要的创业机会。 2015年，周宇翔和两位有计 ...

制造业普惠企业普遍存在生产和经营数字化程度不足的痛点，浦发银行长宁支行按行业特性推荐其使用 黑湖相关产品：针对厨卫家具行业的柔性生产需求，推荐其应用"黑湖小工单"实现订单全流程追溯；面 向汽车配件企业的供应链协同痛点，为其匹配"黑湖智造"的多工厂协同功能；结合金属加工行业的质量 管理要求，向其推广可视化数据分析模块…… 通过这种"一企一策"的精准匹配，金融不再是孤立的"输血"，更是串联起产业链的"纽带"。长宁支行通 过精准匹配黑湖科技在生产协同、数据管理等方面的突出优势，成功助力其与多家普惠企业达成合作意 向。不仅拓宽了黑湖科技的市场边界，更帮助制造企业实现了生产、运营效率双提升。 生态升级：实现"N+1"价值循环 从"1（科创企业）服务N（普惠企业）"到"N（普惠企业）与1（浦发银行）构建生态共赢"，浦发银行 成功实践了从"1+N"到"N+1"的生态闭环。 黑湖科技依托浦发生态，其数字化产品快速渗透普惠市场，品牌影响力向细分行业纵深扩展；普惠制造 企业借助黑湖科技的工具实现转型后，企业经营效益显著提升，反哺浦发生态的客户质量；而浦发银行 通过构建N、培育N，达成了 "金融机构—工业软件企业—实体制造企业"的 ...

日前，国务院总理李强主持召开经济形势专家和企业家座谈会。出席的8位专家和企业家代表中，最年 轻的一位是上海黑湖科技有限公司（简称"黑湖科技"）创始人兼首席执行官周宇翔。 "我们一直在努力推动前沿技术在中国落地，让更多企业用得起、用得好。"周宇翔接受三里河专访时表 示，黑湖科技一直在解决如何让大量的中国工厂从过去廉价、标准品生产、低毛利的商业模式向柔性、 现代化、高效率的生产方式转型。 对此，黑湖科技研发了"黑湖智造"，服务大型客户的同时，还研发了"黑湖小工单"，聚焦"小单快返"场 景，为中小制造企业提供智能化转型的新思路。目前已服务4000余家大中型工业企业，并助力28000余 家中小微工厂迈出数字化转型第一步。 柔性制造的基础不是靠人"卷"出来的 让中小型企业以普惠价格获得先进技术 "有效对接新需求与现有产能并实现柔性化生产，正是发展新质生产力的核心要义。"长期关注产能冗余 问题，周宇翔发现市场其实存在大量未被满足的新需求。茶饮、手办、消费电子等新兴行业崛起，则既 满足了新消费需求，又推动了新经济发展。 周宇翔是美国达特茅斯学院最高荣誉毕业生，2016年在上海创办黑湖科技，专注于制造业数智化系统开 发。谈及 ...

Core Viewpoint - The article highlights the efforts of Heihu Technology, led by CEO Zhou Yuxiang, to transform China's manufacturing sector through advanced technologies and AI, aiming to enable small and medium-sized enterprises (SMEs) to access these innovations at affordable prices [1][2]. Group 1: Company Overview - Heihu Technology was founded in 2016 by Zhou Yuxiang, a graduate of Dartmouth College, focusing on the development of intelligent manufacturing systems [2]. - The company has served over 4,000 large and medium-sized industrial enterprises and has assisted more than 28,000 small and micro factories in initiating their digital transformation [3]. Group 2: Market Needs and Solutions - Zhou Yuxiang emphasizes the importance of addressing new demands in the market, particularly in emerging industries like tea beverages and consumer electronics, which drive new economic growth [2]. - Heihu Technology has developed products like "Heihu Smart Manufacturing" and "Heihu Small Orders" to cater to the flexible production needs of SMEs, which are often overlooked by larger manufacturers [3][4]. Group 3: Technological Innovations - The company is leveraging AI to replace manual processes, such as using AI agents to automatically interpret CAD drawings and generate process paths, reducing preparation time by 60% [5]. - Zhou Yuxiang believes that flexible manufacturing relies on efficient data flow rather than competition based on low costs, highlighting the role of software, data, and AI in achieving this flexibility [4][7]. Group 4: Future Outlook - Heihu Technology is entering a "second entrepreneurial phase," focusing on transitioning from software to AI-native applications, with a projected revenue growth rate of 75% by 2025 [9]. - The company aims to contribute to the global influence of Shanghai's innovation ecosystem by exporting "Chinese solutions" through software and AI, while continuously enhancing industrial production and management efficiency [10].

Group 1 - The 2025 World Artificial Intelligence Conference showcased unprecedented scale, with over 800 companies and more than 3,000 cutting-edge exhibits, including 40 large models and 60 smart robots [2][5] - Baidu introduced its new digital human technology, NOVA, which aims to replicate top-tier influencer capabilities and is expected to be available to the industry by October [5][6] - The AI-powered educational tool, Youdao AI Answering Pen SpaceOne, integrates advanced AI models to assist students in problem-solving across various subjects [6][8] Group 2 - Black Lake Technology presented its AI Agent-based flexible manufacturing solution, which enhances order response speed and fulfillment efficiency for small and medium-sized factories [11][12] - SenseTime launched its embodied intelligence platform "Wuneng," designed to provide robots and smart devices with advanced perception and interaction capabilities [12][13] - Wuneng aims to facilitate interaction between intelligent devices and the real world, enhancing operational efficiency in various applications [12][13] Group 3 - The conference emphasized the importance of international collaboration in AI governance to ensure the development of "good AI" that does not threaten human existence [15][17] - Discussions highlighted the need for equitable access to AI technology and the importance of addressing safety concerns to benefit all nations [17][18] - Experts called for effective regulation of AGI to minimize risks and ensure it serves as a global public resource [18]

Group 1 - The 2025 World Artificial Intelligence Conference concluded in Shanghai, with an exhibition area exceeding 70,000 square meters and over 800 participating companies, more than 50% of which are from outside Shanghai and international [1] - Tizhan Technology, a "content + AI" unicorn founded in 2015, has developed an enterprise-level content AI platform, serving over 100 Fortune 500 companies and 100,000 small and micro enterprises, including several companies from Guangzhou [1] Group 2 - The marketization level in cities like Guangzhou, Shenzhen, and Shanghai has led to the emergence of many excellent consumer goods companies, with Tizhan Technology noting the active and pragmatic nature of private enterprises in Guangzhou [2] - Tizhan Technology plans to establish a complete team in Guangzhou, including R&D, sales, and after-sales, and is collaborating with several universities for talent development in the AI field [2] Group 3 - Black Lake Technology has served over 32,000 factories since its establishment in 2016, with nearly 1,000 leading enterprises in Guangzhou, such as GAC and its suppliers, benefiting from digital collaboration and transformation [2] - The company identifies a structural opportunity in Chinese manufacturing, where new consumer demands are mismatched with the capabilities of small and medium-sized factories, leading to the introduction of the "Black Lake Small Order" product to enhance flexibility and online collaboration [5] - Black Lake Technology emphasizes Guangzhou's significant role as an economic and manufacturing center, predicting that the number of cooperative enterprises in the region will exceed 1,300 within the next year [5]

Core Insights - The integration of AI in manufacturing is transforming traditional production methods into flexible and efficient systems, exemplified by the "future factory" concept in Shanghai [1][9] - AI is enabling significant improvements in production efficiency, cost savings, and operational flexibility across various sectors, including heavy equipment, dairy, industrial software, and supply chain management [2][4][5][8] Group 1: Heavy Equipment Transformation - The Shanghai Electric Power Station Turbine Factory has enhanced its production efficiency by over 30% through digitalization, allowing for real-time adjustments and optimal processing paths [2] - The factory has reduced waiting times in production processes by 43% by utilizing a "digital twin" model that integrates equipment parameters and production data [2][3] Group 2: Dairy Industry Innovations - Bright Dairy has implemented AI across its entire supply chain, improving feed efficiency by 12% and reducing energy consumption by 9% through optimized temperature control [4] - The AI system allows for real-time tracking of milk from farm to shelf, enhancing operational efficiency and cost savings [4] Group 3: Industrial Software Advancements - AI tools are streamlining processes for small and medium-sized factories, reducing preparation time for non-standard orders by 60% [5][7] - The use of AI-generated code for manufacturing execution systems has significantly shortened customization timelines from months to days [7] Group 4: Supply Chain Optimization - AI is enhancing the resilience of supply chains by quickly matching orders with production capabilities, achieving a 98.7% order fulfillment rate even during disruptions [8] - The platform's transaction volume is projected to reach 22.6 billion yuan in 2024, with over 40% of orders driven by AI across industries [8] Group 5: Overall Industry Impact - The shift from standardized mass production to personalized and precise services marks a historical transition in industrial civilization, driven by AI's capabilities [9] - The practices in Shanghai serve as a model for global manufacturing transformation, showcasing China's innovative approach to integrating AI in production [9]