前 Google DeepMind 研究员 Andrew Dai 创立视觉 AI 公司 Elorian,在离开谷歌数月后以 3 亿美元估值完成 5500 万美元种子轮融资。
Dai 认为视觉理解与推理是 AI 进展最不均衡的领域,Elorian 的目标是构建迈向视觉 AGI 的模型。 他优先选择英伟达和 Menlo Ventures 等战略投资者,而非出价更高的投资方。
Andrew Dai 离开谷歌 DeepMind 时就知道视觉 AI 是他想要占领的前沿。他成功完成了一轮旋风式融资,其估值与资本比率比 Thinking Machines 更具侵略性:https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/,这也是美国历史上最大的一轮融资之一。
在本期 Build Mode 节目中:https://youtu.be/UUxqcec5Uww,主持人兼 Startup Battlefield 负责人 Isabelle Johannessen 与 Elorian 的创始人兼 CEO、前谷歌 DeepMind 研究员 Andrew Dai 进行对话,讨论他在离开谷歌几个月后如何以 3 亿美元估值筹集了 5500 万美元的种子轮资金:https://elorian.ai/。
Andrew 利用他十多年帮助构建世界上一些最具影响力的 AI 系统的经验,包括后来为 ChatGPT 开发提供基础的研究,解释了他为何认为视觉 AI 是人工智能的下一个重大前沿。“现在有一些模型在数学上表现非常出色,在新的物理概念上也很卓越,当然编程现在也非常流行……但在视觉理解和视觉推理方面,进展一直极不均衡,”Dai 说。“在 Elorian,我们希望构建能推动视觉 AGI 的模型。”
Andrew 从创始人的视角讲解了融资过程,包括他如何将高度技术化的愿景提炼成投资者可以理解的引人入胜的故事。他解释了为何他优先选择像 Nvidia 和 Menlo Ventures 这样的战略合作伙伴,而不是追求更高估值的报价,以及选择理解前沿 AI 构建现实的投资者为何比单纯最大化公司估值更有价值。
这次对话还为在快速发展的 AI 环境中创业的创始人提供了实用经验。Andrew 分享了初创公司如何在不依赖行话的情况下传达复杂技术理念、为什么速度已成为 AI 最大的竞争优势之一,以及吸引世界顶尖研究人员离开大科技公司所需的条件。
在本季的《Build Mode》中,我们将与拥有亲身经验的专家深入探讨筹款的各个方面,包括筹集大额种子前资金、开出大额支票、自筹资金、上市以及应对可能改变一切的意外市场情况。
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Andrew Dai left Google DeepMind knowing visual AI was the frontier he wanted to stake his claim in. He pulled off a whirlwind fundraise that resulted in a more aggressive valuation-to-capital ratio than Thinking Machines:https://techcrunch.com/2025/07/15/mira-muratis-thinking-machines-lab-is-worth-12b-in-seed-round/, which raised one of the largest rounds in U.S. history.
In this episode of Build Mode,:https://youtu.be/UUxqcec5Uww host and Startup Battlefield lead Isabelle Johannessen sits down with Andrew Dai, founder and CEO of Elorian:https://elorian.ai/ and former Google DeepMind researcher, to discuss how his company raised a $55 million seed round at a $300 million valuation just months after leaving Google.
Drawing on more than a decade spent helping build some of the world’s most influential AI systems, including research that later informed the development of ChatGPT, Andrew explains why he believes visual AI is one of the next major frontiers in artificial intelligence. “You have models that are doing really great at math, really great at new physics ideas, and of course coding is very popular now … But one area where progress has been extremely uneven is visual understanding and visual reasoning,” said Dai. “At Elorian, we want to build models that will advance us toward visual AGI.”
Andrew walks through the fundraising process from the founder’s perspective, including how he refined a highly technical vision into a compelling story investors could understand. He explains why he prioritized strategic partners like Nvidia and Menlo Ventures over even higher valuation offers, and how choosing investors who understood the realities of building frontier AI proved more valuable than simply maximizing his company’s price tag.
The conversation also offers practical lessons for founders navigating today’s rapidly evolving AI landscape. Andrew shares how startups can communicate complex technical ideas without relying on jargon, why speed has become one of the biggest competitive advantages in AI, and what it takes to recruit world-class researchers away from Big Tech.
This season on Build Mode, we’re diving into all aspects of fundraising with experts who have firsthand experience raising massive pre-seed rounds, writing the big checks, bootstrapping, going public, and navigating the unexpected market circumstances that can change everything.
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Maggie Nye is a Podcast Producer for TechCrunch based in Denver, Colorado. Previously, she worked as the Brand and Content Manager for BUILT BY GIRLS where she developed an interest in tech and a passion for creating equitable and welcoming professional tech spaces. She holds a bachelor’s degree in Journalism with a minor in English from Hofstra University in New York.
You can contact or verify outreach from Maggie by emailing maggie@techcrunch.com:mailto:maggie@techcrunch.com.
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