Healthcare AI built around PHI, accuracy, and oversight.
Documentation assistants, patient intake, prior-authorization, and operational tooling — HIPAA-aware, grounded in your data, and engineered so clinicians stay in control of every clinical decision.
The administrative burden is the low-hanging fruit.
Clinicians spend hours on documentation and operations teams drown in prior-auth and intake. Much of that is automatable without ever touching a clinical decision.
We focus first on the operational and documentation load where AI is safe and high-impact, and we engineer every clinical-adjacent feature with grounding, citations, and clinician review built in. PHI safeguards, BAA-ready infrastructure, and full auditability are the foundation, not an afterthought.
Where we focus.
Clinical documentation support
Draft notes and summaries from encounter data for clinician review and sign-off.
Patient intake + triage
Structure intake forms, summarize history, and route — reducing front-desk load.
Prior-auth + coding support
Draft prior-auth packets and suggest codes from documentation, for human verification.
Clinical knowledge search
Cited search over your protocols and guidelines for staff.
Operational automation
Scheduling, referrals, and back-office workflows that don't touch clinical judgment.
Patient communication
Draft patient-friendly explanations and follow-ups for staff approval.
We build software, not medical advice or devices. Our tools support licensed clinicians and operational staff; clinical decisions remain with qualified professionals, and substantive outputs are designed for human review.
Ways to engage.
- One operational use case
- PHI-safe deployment
- Audit + access controls
- Multiple workflows
- EHR/PM integration
- BAA-ready infra + audit
- 30-day support
- New workflows
- Accuracy + safety tuning
- Compliance updates
PHI safeguards and sign-off, built into the flow.
Drafts are generated for clinician review, PHI is guarded by authorization, and every access is audited.
note = draft_note(encounter, template="SOAP") # clinician reviews + signsnote = redact_unless_authorized(note, user) # PHI guardrailsaudit.log(actor=user.id, action="draft_note", patient=encounter.mrn)status = "pending_clinician_signoff" # nothing finalizes aloneWe target the administrative load first; any clinical-adjacent output is grounded, cited, and reviewed by a licensed clinician.
Compliance is the foundation, not a checkbox.
Encryption, access controls, audit logging, and BAA-ready infrastructure are how we start — not features bolted on at the end.
For maximum control we deploy private, self-hosted models so PHI never leaves your environment.
Build healthcare AICommon questions.
Are you HIPAA compliant?
Will AI make clinical decisions?
Can it integrate with our EHR?
Can models run without sending PHI to third parties?
What's the administrative load you'd lift first?
Tell us your systems and your biggest documentation or operations burden. We'll scope a HIPAA-aware build.