But how do you translate that data into this dollars and cents that companies want, right? And what data do you need from companies themselves or from other sources to really make that magic happen with spatial finance?

The first thing is that the use cases are far and wide, and there's thousands of them.

And I think that, you know, there's no silver bullet for all use cases out there, in my opinion, but I think there's the same construct that has to happen.

And if we work backwards from the use case, you know, Kevin gave a really good example about allergens, and we've seen a number of use cases within that, you know, health field.

And one thing that comes to mind from a corporate perspective, and I'll double click on what Kevin said, was the internal financial information of the corporate itself or of the region or said entity that we're evaluating.

A lot of that is internal knowledge and it sort of trade secrets as protected.

We can get some of it through financial statements, not always public.

What are the actual steps to doing that? Who do you need? What data do you need? And what sort of institutional setup is valuable?

family get together, put together these care packages, go out into the streets and just start handing them out to anyone you saw that was homeless? Yeah,

anyone we saw.

Anyone we saw.

And they were literally gone in 30 seconds.

I mean, there's a bunch of homeless people.

So...

Yeah, we did that.

of

So...

That was just how it was until this day.

If we kind of talk about it, all I have to say is Big Mac.

And he's like, yep, I know.

And it's like, well, let's tell this person.

He's like, no, I don't want to talk about it.

I mean, he's still like that now.

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