And what's different about what you found here than what most companies would be using already?

I would say the big distinction here is that because there is this depth of understanding based on just 20 years' worth of understanding in the space and getting all that data in, we can distill out for a given industry, a given vertical, what have you, the pieces that are relevant for that business.

It's not just a generic, "I'm just gonna look at a giant body of text.

I'm gonna see which things are most common." It's, "I'm gonna look at this giant body of text, yes, but I'm gonna do it with a mental model for this field that is relevant, and that will allow you to pull out things that are anomalies or things that are more prevalent without it just being a statistical operation." A lot of AI can become just statistics.

What do you see a lot of in the data? Uh, sometimes the things that you really wanna focus on aren't popping because they're common.

They're popping because, wait, that's not what we would expect to see.

And so being able to identify those kinds of things and make them pop and stand out and say, "Actually, this is showing up.

Yeah.