Voice is shaping up to be the natural interface for AI agents, just like talking to a personal assistant. We speak 4x faster than we type, and voice gives models the contextual awareness to fit seamlessly into our daily lives.
The bottleneck? High-quality, diverse conversational data barely exists. It's inherently private, there are no large open-source datasets, and that's historically slowed research in this space.
We're aiming to change that by releasing large-scale, real everyday conversations across diverse scenarios to bring us closer to a world where humans and AI agents work together seamlessly through voice.