Ambient documentation
Real-time audio transcription via WhisperX, Parakeet, and Canary ASR engines, routed through a dedicated mTLS gateway.
Artificial Intelligence
AI integration that allows clinicians to focus on patients,
not charting.
Ambient documentation, clinical extraction, and SOAP structuring - running in the same workspace as the chart.
Encounter Intelligence Layer
From audio to chart, with the physician in the loop.
Chained pipeline, per-domain confidence gates, conflict-safe physician review.
Speaker attribution
Clinical vocabulary density and turn-order heuristics identify physician versus patient speech without recording assumptions.
Clinical extraction
Eight extraction types - problems, assessments, medications, lab orders, imaging orders, referrals, history, follow-ups - using local large language models.
Chart reconciliation
ICD-10 exact match, embedding cosine similarity via nomic-embed-text, and Levenshtein fallback to map extracted concepts to existing chart elements.
Physician review
A two-column review interface with confidence badges, transcript drawer, and conflict-safe bulk approval. Physician stays in control.
Chart write services
Problem, order, referral, history, and follow-up writers, each with applied-payload snapshots and a reversal window.
Streaming dictation
Live transcription, SOAP structuring on commit.
250 ms WebSocket chunks. Auto-segmented into S, O, A, P. Physician approves before any chart write.
- WhisperLiveKit WebSocket streaming with 250-millisecond chunks and voice activity detection
- Parakeet as the primary English engine; Canary as fallback
- SOAP LLM post-processing via llama3.3:70b on a local DGX Spark - physician reviews before commit
- Multilingual transcription across 25 European languages with consent-flag enforcement
Coding and billing AI
Coding suggestions from the note.
ICD-10 and CPT codes derived from encounter context, integrated directly into the clinical workspace.
- ICD-10 and CPT suggestions from encounter context
- AI claims review and denial risk prediction
- AI medication safety checking
- AI quality narrative builder
- AI pre-visit briefing
Governance
Phase-gated, audited, and PHI-safe.
Read-only, low-risk write, and moderate-risk write phases. Every action in the execution ledger.
- Phase-gated activation across read-only, low-risk write, and moderate-risk write phases
- Per-domain confidence gates
- PHI-safe log assertions and automated redaction checks
- Consent enforcement middleware on every data domain endpoint
- AI execution ledger for cross-tool continuity and audit
- AI governance board with task approval workflows
Our AI stack
Integrated AI Models.
Speech, embedding, and language models, with explicit named placement.
| Layer | Engine |
|---|---|
| Speech (English) | Parakeet, WhisperX |
| Speech (multilingual) | Canary (25 European languages) |
| Streaming transport | WhisperLiveKit, WebSocket, 250 ms chunks |
| SOAP structuring | llama3.3:70b, llama3-med42v2 |
| Clinical embeddings | nomic-embed-text |
| Routing | Dedicated mTLS gateway, Nginx-based Docker container |
Next
See how the platform handles security and HIPAA.
Field-level PHI encryption, audit logging, the resolved findings of an externally audited security review, and an honest list of where certifications stand today.