Technology

AI handles the volume. People handle the judgment.

Pure-AI transcription is fast but unreliable in clinical contexts. Pure-human services are accurate but slow. Our system is engineered around the strengths of each.

The stack

Three layers, working together.

Every document passes through a defined pipeline. No step is optional, and no document goes to your EHR without a human signing off.

  1. 1. Specialty-tuned ASR

    Our automatic speech recognition is trained on medical vocabulary and is tuned per specialty — cardiology, ortho, behavioral health, and more. Drafts are produced within minutes of upload.

  2. 2. LLM structuring

    A language model formats the raw transcript into the document type you need — SOAP, H&P, operative report, consult letter — applying your templates and section headings.

  3. 3. Certified human editor

    An experienced medical editor reviews every document end-to-end. They correct terminology, verify medication dosages, fix structure, and flag anything ambiguous before delivery.

Why human-in-the-loop matters in healthcare.

Catches what AI misses

Soundalike drug names, dosage units, negations ('no chest pain' vs 'chest pain'), and specialty acronyms — the failures that matter most clinically.

Defensible documentation

Medical records are legal documents. Human attestation provides the accountability that pure-AI workflows can't.

Bias and hallucination control

LLMs can fabricate plausible-sounding text. Our editors are trained specifically to spot and remove invented content.

Security & compliance

HIPAA built into every layer.

End-to-end encryption (TLS in transit, AES-256 at rest)
Role-based access controls and full audit logging
Signed Business Associate Agreements with every client
US-based editing teams with confidentiality agreements
Annual security reviews and policy attestations
Configurable data retention and secure deletion

See the difference on your own dictations.

Send a sample audio file. We'll return a completed, formatted document so you can evaluate accuracy and turnaround against your current solution.

Request a sample