Damien Tanner

And that's very exciting because I think you can move fast and you can keep culture and keep a great culture.

And so that's why we invest a lot of our energy into the building of the company.

And what we build and what we provide right now is a... And our first product is a voice infrastructure, voice API for real-time building, real-time voice AI agents.

And this is currently a pretty hard problem.

We focus a lot on the real-time conversational aspect.

And there's a lot of kind of...

wicked problems in that.

Conversations are dynamic things and there's a lot of state changes and interruptions and back channeling and everything that happens.

And if you're a developer building an agent, it could be your sales agent, it could be a developer coding agent, and you want to add voice AI, there's a bunch of stuff you're going to bump into when you start building that.

And

It's interesting.

We kind of see our customers.

We can kind of predict where they are on that journey, right?

Because there's a bunch of problems that you don't kind of preempt, and then you just quickly slam into them.

And so we've solved a lot of those problems.

And so with Layer Code, you can then just take our API, plug it into your existing agent backend.

So you can use any backend you want.

And you can use any agent LLM library you want and any LLM you want.

So the basic example is a Next.js application that uses the Vercel AI SDK.

We've got Python examples as well.