◆ Service
Audio & speech ML
We build speech-to-text and downstream understanding for real workflows. From medical scribing to transcription and structured note generation, we turn raw audio into accurate, structured, context-aware output.
What you get
- Real-time and batch speech-to-text with Deepgram
- Clinical and domain entity extraction from transcripts
- Automatic population of structured forms from audio
- Context-aware note generation with confidence scoring
- Pipelines built for accuracy and privacy
- FastAPI services integrated into your product
- Deepgram
- Speech-to-text
- Entity extraction
Frequently asked
What audio use cases do you handle?
Medical scribing, transcription, and structured note or form generation from conversations. We map transcripts to the fields and formats your workflow needs.
Which speech engine do you use?
Deepgram, including Nova-2 Medical for clinical audio, combined with our own entity-extraction and form-mapping layer.
Is it accurate enough for clinical use?
We built an AI scribe that transcribes patient-doctor audio and auto-populates 10+ mandatory medical forms with per-field confidence scoring for clinician review.
Have a audio & speech ml project?
Production-grade, owned end to end. Usually a reply within a day.