Nick Talken

So when you mentioned 15 million molecules, that's actually coming from the public space.

You know, there's there's a lot of publicly available data out there put out by government agencies and academia and the like.

And we build foundational models of chemistry with that public data.

The problem, frankly, though, and again, the reason it's not that easy, is that generally the data in the public domain is the successes, right?

There aren't many papers and patents that are publishing just all the failures.

And if you remember back to your science experiments, I assume that most of the experiments you did in the lab and that everyone does, they're failures, right?

That's actually where you learn the most.

Yeah.

Just taking that data, even with that large number of publicly available experiments, it's not enough to just crack some of the problems that the industry faces today.

Oh, good question.

So before Albert, and I think this is the industry at large, it's it resembles I think what it was when probably like Da Vinci was doing chemistry back in the day.

And so, you know, first, you have to, you got to go figure out like, what are your ingredients?

What are the things that you want to go test?

And so generally, that means you're going to walk over to your stockroom, and you're going to look at the shelf, and you're going to figure out, okay,

You know, I'm trying to make a new let's take a new shampoo.

Right.

As an example, I'll make it a shampoo.

You need a lot of stuff in there.

That's not just one ingredient.

It's like baking a cake.