Exa

“One way of thinking about what we built is like O-one for search because, Oh, one is all about like, you know, some questions require more compute than others, and we'll put as much compute into the question as we need to solve it. So similarly with our search…”

“The link refers here to a document. It's not, I think one confusing thing is it's not, you're not actually predicting the URL itself. That would require like the system to have memorized URLs. You're actually like getting the actual document. A more accurate n…”

“And so it's like the crawling system, the AI processing system, and then the serving system. Those are all like, you know, teams of like hundreds, maybe thousands of people at Google. But for us, it's like one or two people each typically, but”

“And then there was Google which felt like it hadn't changed in a decade because it really hadn't. And it like, you would give it a simple query, like, I don't know shirts without stripes, and it would give you a bunch of results for the shirts with stripes.”

“We now have we just purchased a five million dollar H 200 cluster.”

“We entered YC with We are better than Google.”

“I often say we're the OpenAI of search because we're a research company, we're a research startup that does like fundamental research into making like AGI for search in a way. And then we have all these like business products that come out of that.”