Luther Birdzell

And we're progressing forward there.

Uh, we're still a private company, Nathan.

It's, uh, we're, we're between, we're between five and 10.

Yep.

I was going to say on the spectrum of SAS software for like, go in, swipe a credit card and it's like, you know, 10 to 50 bucks or a hundred bucks a month.

to enterprise software that's delivered through a SaaS model.

We're closer to the enterprise software delivered through a SaaS model, which it's the right fit for solving this problem for this industry.

It's the right fit.

And on that delivery model, it's actually a critically important part of making our customers successful, is that we have staffed, our consultants have all worked for oil companies,

They have degrees in geology, geophysics, and petroleum engineering, and in a bunch of cases, advanced degree, you know, master's and PhDs.

They are also data scientists.

Yes, they are.

Okay.

Those individuals work with our users, the geologists, geophysicists, and petroleum engineers in the oil companies on a peer-to-peer basis.

And we've proven that's the right model for this industry.

My hypothesis is that

the more AI and machine learning are rolled out in the industrial sector.

So this is using these enabling technologies to affect relatively few, very high cost or high consequence decisions, requires kind of delivering, enabling the capabilities on a peer-to-peer basis with the subject matter experts.

The model centers around that fundamentally, you know, it's man plus machine is better than man or machine, right?

So you