Oruk

What it does

As AI tools become mainstream and robots enter the workforce, conversation is replacing the text box as the only interface fast enough to keep up with critical demands. The voice layer behind every agent, coding session, robot command, and phone call needs the full context: words, tone of voice, emphasis, intent, and emotion. When someone says "I'm fine," they could be reassuring you or asking you to leave them alone. The words are the same. The meaning is in the voice. We are speech, AI, and linguistics researchers from Stanford, Cambridge, and Berkeley, building Oruk to train speech foundation models that actually understand people. We've already set new records across speech understanding benchmarks, deployed to hundreds of thousands of users, and assembled the world's largest speech perception dataset.