Huarong Ke Chuang Completes A-Round Financing Exceeding 100 Million Yuan “华融科创”完成A轮超亿元融资

"Huarong Kechuang" completed a Series A funding round exceeding 100 million yuan. After reading the press release, aside from the funding amount, the investors, and the generic closing remark about "contributing to the high-quality development of the medical industry," we found ourselves entirely uninformed about the company’s business model, technological barriers, or specific products. This feels like a snapshot of current hard-tech financing news: the numbers are growing larger, yet the stories are becoming increasingly vague. Over 100 million yuan may seem modest in today’s AI sector, where deals often reach tens of billions, but the packaged trilogy of "cutting-edge technology," "integration of industry, academia, and research," and "overseas expansion" is delivered with unwavering confidence. This kind of "technically correct" rhetoric is becoming a new currency in fundraising.

Behind this lies a widespread mentality: capital chases the hottest concepts, and the "medical + AI + localization" combination is undoubtedly the most politically correct play today. Yet more important than the concept is how companies like "Huarong" will navigate the valley of death—from lab to mass production, from PowerPoint to revenue. With limited capital patience and long technology monetization cycles, one must ask how much real product strength can ultimately emerge from such grand-narrative-wrapped funding rounds.

What’s more intriguing is the flip side of the coin. On the same day, a Huatai Securities report brought "AI-driven photosensitive dry film" into the spotlight. Photosensitive dry film—a material with a tongue-twisting name—is a critical component in printed circuit board (PCB) manufacturing, essentially infrastructure for the digital age. Huatai’s logic is clear: demand for AI servers, high-speed networks, and similar technologies drives high-end PCB production, which in turn boosts demand for upstream dry film materials. And this is a field with extremely low localization rates.

On one side are newcomers like "Huarong Kechuang," using vague technological concepts to attract capital; on the other are solid, bottleneck industrial intermediates like "photosensitive dry film," featured in Huatai’s report. The two represent a fascinating tension in China’s current AI investment landscape. Hot capital seems to favor the former—glossy, story-driven, capable of quickly spinning a "disruption" narrative—while the latter—materials, processes, long-term R&D investment—relies more on industrial capital and strategic patience.

Huatai’s report highlights a crucial point: the revolutionary potential of AI ultimately must translate into precise control over the physical world and breakthroughs in materials. Without high-quality photosensitive dry film, even the smartest AI chips cannot produce high-performance circuit boards. This is precisely one of the most hardcore and challenging aspects of domestic substitution. Unlike application-layer innovations that quickly scale, it requires sustained, often unglamorous, and not always cost-efficient R&D efforts.

Therefore, real industrial progress might actually be unfolding in these "unsexy" areas. As Doubao begins charging fees and major model companies rush to list on A-shares, the capital market is busy calculating user lifetime value and valuation multiples—but manufacturing upgrades depend on whether that thin layer of photosensitive dry film, with its low domestic substitution rate, can achieve performance breakthroughs. The temperature gap between the frenzy of application-layer monetization and the cold chase of fundamental materials underscores the complexity of China’s AI industry.

We certainly welcome companies like "Huarong Kechuang" securing funding, but we hope future press releases will contain fewer grand slogans about "high-quality development" and more specifics like "overcame XX technological challenges" or "product yield reached XX%." Similarly, media and investors should pay more attention and patience to foundational breakthroughs like photosensitive dry film. After all, without a solid "foundation revolution," the towering AI edifice above will remain built on sand. When the capital tide eventually recedes, only those companies that truly delve deep into the industrial chain and solve concrete problems will leave lasting footprints.

“华融科创”完成A轮融资超亿元。通稿读了一遍，除了融资额、投资方和那句“为医疗产业高质量发展贡献力量”的万金油结尾，我们对这家公司的业务模式、技术壁垒、具体产品一无所知。这仿佛是当下硬科技融资新闻的一个缩影：数字越来越大，故事却越来越模糊。超亿元，在今天动辄数十亿的AI赛道，本是个小数字，但包装出的“前沿技术”、“产学研融合”、“海外拓展”三件套，却一点也不含糊。这种“技术正确”的套话，正在成为新的融资货币。

这背后是一种普遍心态：钱要追着最热的概念跑，而“医疗+AI+国产化”无疑是当下最政治正确的组合拳。但比概念更重要的，是“华融们”如何穿越从实验室到量产、从PPT到收入的死亡谷。当资本耐心有限，而技术变现周期漫长时，这类用宏大叙事包裹的融资，最终能沉淀下多少真正的产品力，要打上一个大大的问号。

更值得玩味的，是硬币的另一面。同一天，华泰证券的研报把“AI驱动感光干膜”推到台前。感光干膜——这个名字拗口的材料，是印刷电路板（PCB）制造的关键，堪称数字时代的基础设施。华泰的逻辑很清晰：AI服务器、高速网络等需求拉动高端PCB，进而拉动上游干膜材料。而这个领域，国产化率极低。

一边是“华融科创”这样用模糊技术概念吸引资本的新面孔，一边是华泰研报里“感光干膜”这样扎实的、卡脖子的工业中间品。这两者构成了当前中国AI产业投资图谱的有趣张力。资本热钱似乎更爱前者——光鲜、有故事、能快速讲一个“颠覆”的叙事；而后者——材料、工艺、长期研发投入——则更需要产业资本和战略耐心。

华泰的报告点出了一个关键：AI的革命性，最终要落回对物理世界的精密控制与材料突破上。没有高端的感光干膜，再聪明的AI芯片也造不出高性能的电路板。这恰恰是国产替代中最硬核、也最艰难的部分。它不像应用层创新那样能快速见量，而是需要持续的、枯燥的、往往投入产出比不高的攻坚。

因此，真正的产业进展，可能正发生在这种“不性感”的领域。当豆包开始收费、大模型公司纷纷寻求A股上市时，资本市场忙着计算用户LTV和估值倍数，但制造业的升级，却取决于那层薄薄的、国产替代率不高的感光干膜能否实现性能突破。一边是应用层的狂热变现，一边是基础材料的冷峻追赶，二者之间的温差，正是中国AI产业复杂性的体现。

我们当然乐见“华融科创”这样的企业获得融资，但我们更期待，未来的新闻稿里，少一些“高质量发展”的宏大口号，多一些“攻克了XX项工艺难点”、“产品良率达到XX%”的具体交代。同样，媒体和投资者也应给予像感光干膜这样的底层突破更多关注和耐心。毕竟，没有扎实的“地基革命”，上层的AI大厦，终究是建立在沙滩之上。资本的潮水终将退去，只有那些真正扎进产业链深处，解决具体问题的公司，才能留下脚印。