Voice AI should feel like talking to a person

Today's voice AI fails at real-world conversations. It’s slow, turn-based like a walkie-talkie, breaks with interruptions, and doesn’t understand emotion.

Developers can't build compelling experiences and users disengage. This limits voice AI to simple receptionist tasks and basic customer support, blocking meaningful services (sales, therapy, coaching) where dialogue and emotional intelligence matter most.

‍Scaling current tech does not work.

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

That’s how we make voice the most natural way to interact with AI.