yeah so we'll stay at the edge one more time and that is you obviously what i'm hearing is you also have an established we'll call it a marketplace right is that fair you kind of have this tools in marketplace i mean what do you think is one of the most common things that you're seeing pulled out of the marketplace that's being used if whether that's energy or anybody

else so our our downloads and our portals is really about education um i i firmly believe that there's no one size fits all application.

So we've kind of shied away from the idea of, you know, making a plunger app or making, you know, a conveyor app.

Um, all those things are configured differently.

There's different years, different protocols, versions, et cetera.

So we wanna let people have that flexibility, but what we have done is provided a full university on there so people can go in and get educated on the product, learn what a regression model is, understand why you would apply that, go through the training on how you deploy that in the software.

We make sure that we have plenty of documentation and different versions, because again, all IT networks aren't the same.

Correct.

What do you have to say to manufacturers who don't want to use AI? Yeah.

I honestly think that there is, you know, one of the biggest challenges, I think, that holds people back is you go into a project, they've heard these stories, you know, maybe they're curious about AI.

But, you know, usually the objections are, well, I got to put my data in the cloud, that's a risk.

Or, you know, the projects take a long time, and I don't know if we get the value.

I personally, again, if you're profitable and making products and you have your staffing great, I think it's important just to stay...

Find the way that makes you feel most comfortable.

There are technologies out there, though, that can help meet those different pain points and help you get to value quickly.

So it's