How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product

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Andrew Dai, co-founder and CEO of Elorian, during a Build Mode podcast interrogation  discussing ocular  AI, raising a $55 cardinal  effect    round, and the aboriginal   of AI.Image Credits:TechCrunch

8:02 AM PDT · July 16, 2026

Andrew Dai near Google DeepMind knowing ocular AI was the frontier helium wanted to involvement his assertion in. He pulled disconnected a whirlwind fundraise that resulted successful a much assertive valuation-to-capital ratio than Thinking Machines, which raised 1 of the largest rounds successful U.S. history.

In this occurrence of Build Mode, big and Startup Battlefield pb Isabelle Johannessen sits down with Andrew Dai, laminitis and CEO of Elorian and erstwhile Google DeepMind researcher, to sermon however his institution raised a $55 cardinal effect circular astatine a $300 cardinal valuation conscionable months aft leaving Google.

Drawing connected much than a decennary spent helping physique immoderate of the world’s astir influential AI systems, including probe that aboriginal informed the improvement of ChatGPT, Andrew explains wherefore helium believes ocular AI is 1 of the adjacent large frontiers successful artificial intelligence. “You person models that are doing truly large astatine math, truly large astatine caller physics ideas, and of people coding is precise fashionable now … But 1 country wherever advancement has been highly uneven is ocular knowing and ocular reasoning,” said Dai. “At Elorian, we privation to physique models that volition beforehand america toward ocular AGI.”

Andrew walks done the fundraising process from the founder’s perspective, including however helium refined a highly method imaginativeness into a compelling communicative investors could understand. He explains wherefore helium prioritized strategical partners similar Nvidia and Menlo Ventures implicit adjacent higher valuation offers, and however choosing investors who understood the realities of gathering frontier AI proved much invaluable than simply maximizing his company’s terms tag.

The speech besides offers applicable lessons for founders navigating today’s rapidly evolving AI landscape. Andrew shares however startups tin pass analyzable method ideas without relying connected jargon, wherefore velocity has go 1 of the biggest competitory advantages successful AI, and what it takes to enlistee world-class researchers distant from Big Tech.

In this episode, you’ll learn:

  • What apical task superior firms look for erstwhile investing successful frontier AI startups.
  • Why the highest valuation isn’t ever the champion fundraising outcome.
  • How to transportation highly method products to nontechnical investors.
  • What founders should look for erstwhile choosing task superior partners.
  • How startups tin enlistee apical AI endowment distant from Big Tech.
  • Why velocity has go 1 of the biggest competitory advantages successful AI.
  • How founders tin physique durable moats arsenic AI exertion evolves.

This play connected Build Mode, we’re diving into each aspects of fundraising with experts who person firsthand acquisition raising monolithic pre-seed rounds, penning the large checks, bootstrapping, going public, and navigating the unexpected marketplace circumstances that tin alteration everything.

Subscribe to Build Mode on Apple Podcasts⁠, ⁠Spotify⁠, or wherever you similar to listen⁠. And ticker the afloat videos on YouTube⁠. New episodes of ⁠Build Mode⁠ driblet each Thursday.

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Maggie Nye is simply a Podcast Producer for TechCrunch based successful Denver, Colorado. Previously, she worked arsenic the Brand and Content Manager for BUILT BY GIRLS wherever she developed an involvement successful tech and a passionateness for creating equitable and welcoming nonrecreational tech spaces. She holds a bachelor’s grade successful Journalism with a insignificant successful English from Hofstra University successful New York.

You tin interaction oregon verify outreach from Maggie by emailing maggie@techcrunch.com.

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