Alexandr (Alex) Wang

They made like custom t-shirt designs and we're trying to help them detect when people, um,

were like use a t-shirt design that was like that was like um like uh that was like unfit for to print like you know had like gore or or like um you know all sorts of like illegal stuff like if basically like identifying illegal t-shirt designs

It's kind of stupid now that I say it.

And then we're helping another company.

It was like a furniture marketplace.

We're helping them improve their search algorithm with AI.

And then maybe a few months in, maybe three months in, we started working with autonomous vehicle companies and self-driving companies.

And then that ended up being, like, the real meat behind our effort for the first three, four years.

So we worked with, you know, General Motors and Toyota and Waymo and, you know, all of the major automakers in helping them build self-driving cars.

How many people were you competing against?

I mean, I think in anything you do in startup land, like, you have, like—

tens of competitors, you know, and, and there were, there were definitely tens of competitors at that time.

And, and so it was like, you know, these are competitive spaces, but where, as we described, I don't mind competition for math competition days.

And so, and so we, we were just like really focused on the problem, really focused on how do you, what are the best possible data sets for these self-driven cars?

A lot of that had to do with,

It's called sensor fusion.

So, you know, there's so many different kinds of sensors and how do you combine all these different sensors to get, you know,

one output so like if multiple sensors sense a person how do you like collect all that together to say that's one person right there and that's one car right there and that's one you know bicycle over there um so that was kind of our specialty as a company and then um then we're kind of off the races just on that we we grew the company into like a hundred or so people let's go back just a little bit okay so you

Yeah, so...

Let's see what happens.