AI that does the paperwork so clinicians can do medicine.
A routed portfolio of specialist models — for dictation, imaging, labs, coding, and decision support — running inside your tenant, under your audit, within your clinicians' permissions.
- PHI-safe
- HIPAA-aligned
- Audit-logged
- Human-in-the-loop
Six capabilities. One platform.
Each capability is a separately tuned model wired into the same audit, policy, and consent layer.
Voice documentation
Ambient capture during the visit becomes a structured SOAP draft. The clinician reviews and signs — nothing files on its own.
Radiograph AI
Detects caries, marginal bone loss, and pulmonary nodules across panoramic, bitewing, and chest imaging. Findings are suggestions, not verdicts.
Lab result extraction
OCR across printed, handwritten, and PDF reports. Values are normalized to LOINC and reconciled against the patient's history.
Coding assistance
ICD-10, CPT, and D-codes suggested from the note. Every code is traceable to the sentence that justified it.
Clinical decision support
Drug–drug, drug–allergy, and dose-range checks run on every prescription. Alerts are ranked by severity, not volume.
Smart inbox triage
Patient messages and refill requests are classified, routed, and drafted for review. Nothing is sent without a clinician's approval.
Routed model portfolio
Specialist models for specialist workflows.
A radiograph doesn't need the same model as a SOAP draft, and a drug interaction check doesn't need the same model as a coding suggestion. The router picks the right one, falls back gracefully, and leaves a trail.
- Purpose-tuned models per task: imaging, language, extraction, reasoning
- Automatic fallback when a primary model degrades
- Every inference labeled with model, version, and confidence

Consent and audit
Every AI action is logged. Every write needs consent.
Reads are free. Writes are deliberate. Any action that mutates the chart — a draft note, a suggested code, a refill routing — waits for the clinician's explicit confirmation and is signed into an immutable audit trail.
- Read vs. write separation in the capability matrix
- Typed confirmation before any chart mutation
- Seven-year signed retention, exportable to compliance

Tenant boundary
PHI never leaves your tenant boundary.
Redaction happens before the prompt is constructed. Inference runs in-region. Storage is segmented per clinic. If a vendor needs the raw record to work, they aren't the right vendor.
- Identifier stripping runs pre-prompt, verified by live sampling
- Per-tenant encryption keys, per-region inference
- No cross-clinic training on your data — ever

One router. The right model. A human in the loop.
Clinician action
Voice, image, message, or chart event
AI router
Selects model, applies policy, redacts PHI
Specialist model
Radiology, language, extraction, reasoning
Human review
Clinician signs off; audit log is written
Routed model portfolio. No single-model bets.
Built so your compliance team can approve it.
The controls that matter for clinical AI — enforced in code, not promised in a datasheet.
PHI redaction pre-prompt
Names, MRNs, and direct identifiers are stripped before any token leaves your tenant. The model sees context, not identity.
Audit trail, every prompt
Prompts, responses, tool calls, and write confirmations are signed and retained for seven years. Exportable on demand.
Role-scoped tools
The AI inherits the same capability matrix your staff uses. It cannot exceed the permissions of the user invoking it.
Region-resident data
Inference and storage stay in your region of record. US, UK, EU, GCC, and APAC residency are first-class, not add-ons.
- PHI leaks in 400M tokens audited
- 0PHI leaks in 400M tokens audited
- transcription accuracy
- 98.4%transcription accuracy
- min caries detection
- 1.2mmmin caries detection
- languages supported
- 14languages supported

جاهز لتجربة The Clinic
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