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Speech foundation models for transcription, speaker diarization, vocal emotion, and delivery. We help AI understand what people say, how they say it, and what they mean—directly from the audio.
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We train speech models to help AI understand what people say, how they say it, and what they mean—directly from the audio.
Try the demo · Explore our models · API docs · Research
Speech understanding, from the audio
Words and speakers. Transcribe speech and follow who said what, with time-coded segments.
Emotion and delivery. Add context from tone, rhythm, emphasis, and vocal expression.
One API. Bring transcripts and acoustic context into the products you build.
Open research
- Orukeet — our open multilingual speech recognition model, with code, weights, evaluation results, and a technical report.
- oruk-bench — published speech-emotion evaluation results, with methods and limitations documented alongside the scores.
- Research highlights — experiments, model releases, and interactive explanations from the team.
Built by researchers from Stanford, Berkeley, and Cambridge. Meet the team →
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