Andrew Dai left Google DeepMind with a hunch that visual AI was the next big thing. He was right - or at least, investors were convinced enough to give him $55 million at a $300 million valuation before his company, Elorian, had even launched a product. That's a valuation-to-capital ratio more aggressive than Thinking Machines, which raised one of the largest rounds in U.S. history.

In the latest episode of Build Mode, host Isabelle Johannessen sat down with Dai to discuss how he pulled off this whirlwind fundraise just months after leaving Google. Drawing on over a decade of experience building influential AI systems - including research that later informed ChatGPT - Dai argues that visual understanding is AI's glaring weak spot. “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.”

Dai walked through the fundraising process, including how he translated a highly technical vision into a story investors could actually understand. He explained why he chose strategic partners like Nvidia and Menlo Ventures over even higher valuation offers - because when you're building frontier AI, having investors who get the grind matters more than a bigger number on a term sheet.

The episode also offers practical lessons for founders: how to communicate complex ideas without drowning in jargon, why speed is your biggest competitive advantage in AI, and what it takes to lure world-class researchers away from Big Tech's clutches.

This season on Build Mode, the show is diving into all aspects of fundraising with experts who've raised massive pre-seed rounds, written big checks, bootstrapped, gone public, and navigated market chaos. New episodes drop every Thursday on Apple Podcasts, Spotify, or wherever you get your audio fix.