Nick Talken

I'm going to mix these things together.

I'm going to apply it in a certain way.

I might want to test it and characterize it.

If it's a shampoo, somebody is eventually going to have to put it on their head and actually, you know, bathe with it and like give feedback.

Hey, it feels my hair feels slippery or it feels really nice.

Exactly.

All that good stuff.

Rank it, your skin quality from one to five, all that good thing.

And then you collect all that data and you generally don't hit it on the first mark.

And so you say, what did you learn from that?

And that's a scientific method, very classical, everything that we learned in school.

But you can see that's a very manual, slow process, right?

Just to run one experiment could take you days, weeks potentially to go do that.

And so it's expensive.

You're not going to be generating millions of experimental data points.

It's slow.

And the way that you discover new information is still very analog and kind of, you know,

how it's been done for a long time.

And so with Albert, we change all that.

We take that entire workflow from the early discovery of what's been done before in your company or in the industry to the final application testing that's being done with the shampoo in somebody's head.