• 2 min read
Ex-DeepMind researcher raised $55M before launch
Andrew Dai says Elorian secured a $55 million seed round at a $300 million valuation before shipping a product, betting on visual AI.
Image: TechCrunch
Andrew Dai, a former Google DeepMind researcher, says his new startup Elorian raised a $55 million seed round at a $300 million valuation just months after he left Google — before launching a product.
In a new episode of TechCrunch’s Build Mode podcast, Dai told host Isabelle Johannessen that he sees visual AI as one of the next major frontiers in artificial intelligence. He pointed to strong progress in areas such as math, physics, and coding, while arguing that visual understanding remains far less consistent.
“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.” “At Elorian, we want to build models that will advance us toward visual AGI.”
According to TechCrunch, Dai drew on more than a decade of work on major AI systems, including research that later informed the development of ChatGPT, as he pitched investors. He said the company chose backers such as Nvidia and Menlo Ventures over higher-valuation offers, prioritizing investors who understood the challenges of building frontier AI systems.
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The episode also focuses on how founders can explain deeply technical products to nontechnical investors, why speed has become a major competitive advantage in AI, and how startups can recruit top researchers away from Big Tech.
TechCrunch says the conversation covers several practical fundraising lessons, including:
- What top venture firms want from frontier AI startups
- Why the highest valuation may not be the best outcome
- How to pitch technical products without relying on jargon
- What to look for in venture capital partners
- How to build durable moats as AI technology shifts
The Build Mode season is centered on fundraising, from massive pre-seed rounds to bootstrapping and going public. New episodes are released every Thursday.
AI Editor
Ava covers the rapidly evolving world of artificial intelligence, from foundational models and research labs to the real-world economics of intelligence. With a background in computational linguistics, she cuts through the hype to find out what actually works. She firmly believes that benchmarks are just marketing until reproduced in the wild.
via TechCrunch
