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Home » How a former DeepMind researcher raised $300 million in a pre-seed valuation before launching the product
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How a former DeepMind researcher raised $300 million in a pre-seed valuation before launching the product

adminBy adminJuly 16, 2026No Comments3 Mins Read
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Andrew Dai left Google DeepMind knowing that visual AI was a frontier he wanted to stake his claim on. He pulled off a whirlwind fundraising that resulted in a more aggressive valuation and equity ratio than Thinking Machines, which raised the largest in U.S. history.

On this episode of Build Mode, host and Startup Battlefield leader Isabelle Johannessen speaks with Andrew Dai, founder and CEO of Elorian 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.

With more than a decade of experience building some of the world’s most influential AI systems, including research that later influenced the development of ChatGPT, Andrew explains why he believes visual AI is one of the next major frontiers in artificial intelligence. “There are models that are doing very well in mathematics, and they are doing very well in new physics ideas. Coding, of course, is very popular right now…but one area where progress has been very uneven is visual understanding and visual reasoning,” Dai said. “At Elorian, we want to build a model that drives visual AGI.”

Andrew describes the funding process from a founder’s perspective, including how he refined a highly technical vision into a compelling story that investors understood. He explains why he prioritized strategic partners like Nvidia and Menlo Ventures over offers at even higher valuations, and how choosing investors who understand the realities of building frontier AI has proven to be more valuable than simply maximizing the price of your company.

This conversation also offers practical lessons for founders navigating today’s rapidly evolving AI landscape. Andrew talks about how startups can communicate complex technical ideas without relying on jargon, why speed is one of the biggest competitive advantages in AI, and what it takes to recruit world-class researchers from Big Tech.

In this episode you’ll learn:

What top venture capital firms look for when investing in cutting-edge AI startups. Why the highest valuations don’t always lead to the best financing results. How to market highly technical products to non-technical investors. What founders should look for when choosing a venture capital partner. How startups hire top AI talent from Big Tech. Why speed is one of the biggest competitive advantages in AI. How founders can build a durable moat as AI technology evolves.

This season, Build Mode delves into every aspect of fundraising with experts who have first-hand experience raising large pre-seed rounds, writing big checks, bootstrapping, going public, and dealing with unexpected market conditions that can change everything.

Subscribe to Build Mode on Apple Podcasts, Spotify, or wherever you like. Watch the full video on ⁠ YouTube⁠. New episodes of ⁠Build Mode⁠ drop every Thursday.

If you buy through links in our articles, we may earn a small commission. This does not affect editorial independence.



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