Keri Briske

Yeah.

Yeah.

He always jokes.

What does he say?

It's like a, it's a 30 year overnight success.

Yeah, I think that I like that you said everyday apps people are using because right now, again, I alluded to enterprises haven't quite taken generative AI at that last mile.

So my vision and my hope is that when I go to the doctor's office or when I get in my car or when I use whatever everyday app I'm using, it becomes more specialized, becomes more AI-infused, and it is based on a nematron.

I think of even things of like call transcripts from meetings, not just the transcript, but specialize to me in my role at my company and the people that I work with and my acronyms.

There's a lot of improvement that can be done there.

So I think that for me, it's that Nematron will be this base of specialization for enterprises in every vertical domain.

Even think about your banking app.

Right.

And like, I want to be able to talk to my banking app the way and engage with it the way you might engage with chat GPT or perplexity.

Right.

So I want that capability in my everyday life.

You just want to talk to it, right?

Yeah.

And we were talking about gym environments and being able to verify things.

And if you think about the most success for gender of AI right now, it's been coding apps.

The way you are able to talk and just type your intent to code, to write lines of code, you don't even have to write lines of code anymore.