you.

I spent my early career very technical.

After that startup, I went to a big Fortune 500 company where I was in their AI lab.

I was the first hire in their AI lab.

But frankly, they needed a lot of modernization.

And so instead of spending a lot of time on AI and machine learning and model building, I ended up building a lot of infrastructure, a lot of, you know, full model lifecycle stuff, everything from early analysis data collection to model training, validation, and then ultimately deployment and perform deployment at that.

So by the end of my time there, I think there was around 500 million of revenue going through the platform that I had built.

Is there any sort of, I guess, like lessons you've learned around, you know, building companies, hiring people, especially in the early stages you'd give advice on?

Once I made the decision, what is actually happening and what do I need to do first?

Yeah.

Well, so the first and kind of foremost thing is you have to decide to sell it, right? Which is a little bit of a pithy way of saying that it's taken a while for people to even understand that these are transactable assets in the first place, right? I think since the start of private credit, call it 20 years ago, or at least non-bank lending 20 years ago, people have had this bias that people Private loans should be bought and held.

And you just buy it.

You collect your interest.

You collect your coupon.

Maybe there's some warrants or something thrown in there.

From where you sit, what problem does tokenization actually solve here?