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AEF大湾区基金与蚂蚁集团共同领投,深度原理完成超亿元A轮融资
Sou Hu Cai Jing· 2025-11-24 02:37
来源:猎云网 近日,人工智能化学材料研发商深度原理(Deep Principle)完成超亿元A轮融资,本轮融资由戈壁创投管理的阿里巴巴创业者基金大湾区基金(简称:AEF 大湾区基金)与蚂蚁集团共同领投,现有股东联想创投、Taihill Venture超额加注,BV百度风投继续加注,多家机构参与投资。 据了解,本轮融资将主要用于三大方向:1. 加速 Agentic AI for Materials Discovery 材料发现智能体 Agent Mira™ 的研发与升级;2. 推进 L4 高通量自主实验 室 AI Materials Factory™ 与其研发管线的建设与布局;3. 深化与国际和国内头部客户的合作,巩固技术落地领先优势。 今年3月,深度原理刚刚完成亿元级Pre-A轮融资,投资方包括联想创投、联想之星、锦秋基金、百度风投、启高资本、高瓴创投、线性资本。 杭州深度原理科技有限责任公司成立于2024年2月,创始人&CEO贾皓钧获MIT物理化学博士学位,曾于陶氏化学核心研发部门进行研发工作,专注于使用 人工智能来研发催化剂配方及预测化学反应的路径,之前担任过麻省理工学院中国学生学者联合会(MIT CSS ...
锦秋基金被投企业深度原理获欧莱雅 2025 BIG BANG 中国大陆赛区AWARD|Jinqiu Spotlight
锦秋集· 2025-11-12 06:36
Core Insights - Jinqiu Fund participated in a strategic financing round for the AI for Science startup "Deep Principle," focusing on breakthrough technologies and innovative business models in the AI sector [3] - "Deep Principle" emerged as one of the top three winners in the "Foreseeing New Product Research" track at the 2025 BIG BANG Beauty Tech Co-Creation Program, which had over 700 participating startups [3] - The founder and CEO of "Deep Principle," Dr. Jia Haojun, highlighted the transformative impact of AI on material research during a roundtable forum, emphasizing the balance of depth, speed, and budget in beauty formulation development [6][8] Investment Highlights - Jinqiu Fund's long-term investment philosophy is centered on identifying promising AI startups with innovative approaches [3] - The AI-driven platform ReactiveAI developed by "Deep Principle" enhances research efficiency by predicting and explaining the effects of ingredients on formulation performance, leading to quantifiable benefits such as reduced R&D cycles and lower costs [6] Industry Trends - The 2025 BIG BANG event showcased the importance of open innovation in the beauty industry, as emphasized by L'Oréal's global R&D executive, who noted that collaboration is key to driving disruptive solutions [8][9] - The integration of AI in material research is seen as a significant shift from discovery to rational design, indicating a future where AI continuously improves through experimentation [6]