Making voice conversations with AI as natural as talking to a person.

Today's voice AI fails at real conversations. It's slow. It takes turns like a walkie-talkie. It breaks on interruptions, and it misses how you said it.

So developers can't build products people want to talk to, and people disengage. Voice AI stays stuck in receptionist tasks and basic support, while the services where dialogue and emotional intelligence matter most (sales, therapy, coaching) stay out of reach. Scaling the current stack won't fix this.

We're building voice AI that's as natural as talking to a person: a duplex speech-to-speech model that learns conversational behaviour directly from human data.

That's how voice becomes the most natural way to interact with AI.