Olivia Moore

The bigger problem in the coming years for like voice AI is really knowing when to talk and when not to talk.

So it's understanding all these nuances in the work more than making the latency faster or making the voices more realistic, which I don't think that's the limiting factor today.

I guess we took it from a very tech-driven approach.

Really, the limiting factor back then was having an agent that could speak on the phone realistically.

Like, we were in conferences, Javi was, like, traveling all around, like, asking people, hey, if we were to create a voice agent that could pick up the phone and sell these loads and track these shipments, would you buy it?

And he's like, dude, of course.

This is a no-brainer.

I just don't think you can do it.

So it was more so like,

The idea market fit or product market fit made sense from the beginning.

It was more so like, can we prove ourselves?

We can build this technology.

And you know, LLMs were picking up.

We're talking about late 2023, probably.

LLMs were like decent enough.

LLMs was picking up with the text-to-speeds and everything was kind of working together, but we had to build something that could actually connect all the dots and actually make something work, no?

That kind of shaped our company where

We really had technology and innovation as the core of our company and always pushing this frontier and solving problems like firsthand.

So that's how we got started in the voice phase.

FELIPE HOFFA- Yeah.