锦秋基金被投企业深度原理完成超亿元A轮融资，AI for Science持续突破｜Jinqiu Spotlight

Core Insights - The article discusses the strategic financing of "Deep Principle," a leading company in the AI for Science sector, which has recently completed a significant funding round to enhance its technological capabilities and market presence [3][4]. Group 1: Financing and Investment - Jinqiu Fund participated in a strategic Pre-A round financing for "Deep Principle," amounting to over 100 million RMB [3]. - The latest A round financing was led by Alibaba's Entrepreneur Fund and Ant Group, with participation from existing investors such as Lenovo Ventures and Baidu Ventures [4]. Group 2: Technological Advancements - "Deep Principle" has developed cutting-edge diffusion models, achieving significant breakthroughs in AI for materials discovery, with their OA-ReactDiff model completing transition state structure predictions in just 6 seconds [7]. - The company has introduced the React-OT model, which reduces prediction time to 0.4 seconds and improves accuracy by over 25% compared to traditional methods [7]. Group 3: Product Development and Applications - The company has launched the Agent Mira platform, which integrates various algorithms for molecular design, chemical reaction prediction, and materials optimization, making AI a routine part of industrial processes [10][12]. - "Deep Principle" has secured over 10 million RMB in commercial orders within its first year, collaborating with industry leaders like L'Oréal and focusing on applications in supramolecular materials and fine chemicals [12]. Group 4: Future Directions - The company is building an L4 High-Throughput Autonomous Lab, known as AI Materials Factory, to streamline the materials discovery process and enhance the integration of AI models with experimental validation [14][15]. - The recent financing will serve as a new starting point for "Deep Principle" to deepen the integration of technological innovation with industry needs, contributing to the advancement of global materials science [16].