Our technology
Voice Recognition
Speech-to-text, speaker and intent recognition adapted to your vocabulary, accents and noisy environments, running on-premise or on the device.
Small speech models are fine-tuned on recordings from your own floor, workshop, clinic or call centre, so they understand product names, procedure steps and local accents over machine noise. They power hands-free operator commands, dictation into forms and reports, meeting and call transcription, and the transcription step of video translation.
Recognised speech is passed to the agentic pipeline like any other input: a verifier checks terminology and confidence, and a person confirms before an action is triggered or a record is written. Audio is processed on your hardware or on the device itself, so voice data never leaves your site.
Research on arXiv
- Robust Speech Recognition via Large-Scale Weak Supervision (Whisper)
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
- Conformer: Convolution-augmented Transformer for Speech Recognition
Used in
See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
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