Clinical AI thatnever sends patient data outside
Medical-record analysis, clinical decision support and research AI — without a single byte of PHI ever leaving your facility. Compliance is built in, not bolted on.
From uncontrolled exposure
to provable compliance
The gap between “our staff use AI” and “our AI is compliant” is where breaches happen. Here is what changes.
- Patient records pasted into public cloud AI
- No BAA, no data-residency control over PHI
- HIPAA & GDPR violation risk on every prompt
- No audit trail — breaches are invisible
- Potential patient harm from leaked records
- PHI never leaves your own infrastructure
- Signed BAA, jurisdiction & EU adequacy
- HIPAA & GDPR controls built into the pipeline
- Tamper-evident audit trail for every interaction
- Encrypted at rest & in transit — keys are yours
The risk your compliance
team can’t ignore
Three failures put healthcare organizations on the wrong side of a regulator. liracode.dev closes all three.
PHI sent to public AI
Clinicians paste records into ChatGPT and other public tools. Patient data leaves your control the moment they hit enter — and you can't prove it didn't.
HIPAA & GDPR exposure
No Business Associate Agreement, no data-residency guarantee, no audit trail. A single leak triggers OCR penalties, GDPR fines and reportable breaches.
Vendor lock & opacity
Closed cloud AI gives you no visibility into where inference runs or how prompts are retained. Compliance officers can't sign off on what they can't see.
Every safeguard a regulator
asks for — enforced in code
HIPAA, GDPR and PHI protection aren’t a policy document here. They are controls running on every query.
PHI stays on-prem
Protected Health Information never leaves your facility. Inference runs against records on disks you physically own — no third-party AI provider ever touches them.
End-to-end encryption
Records are encrypted at rest and in transit. Encryption keys live only with you. Even we cannot read a single line of a patient chart.
Immutable audit trail
Every AI interaction is logged with a tamper-evident hash. Full, exportable evidence for OCR, GDPR Article 30 records and internal review.
Role-based PHI access
Vector search returns chart chunks only after verifying clinician role, department and consent scope. Minimum-necessary access, enforced per query.
Data residency & BAA
Physical infrastructure in jurisdiction, EU adequacy and a signed Business Associate Agreement. Your data stays where your regulator expects it.
PHI sanitization
Identifiers — names, MRNs, phone, email — are detected and masked before any prompt is assembled, so raw PHI is never exposed downstream.
Three steps to compliant clinical AI
You keep ownership of the data. We run the secure infrastructure around it.
Records stay on your disks
Charts, imaging metadata and clinical notes are indexed on physical NVMe storage in a certified facility. You own the hardware; no AI vendor has access.
We run the secure pipeline
Authorization, RAG retrieval, PHI sanitization, model routing, monitoring — the full compliant stack, managed for you with zero DevOps on your side.
Clinicians get answers, not exposure
All leading models through one subscription. Open models self-hosted on GPU so inference stays on your infrastructure — every response logged and auditable.
For maximum privacy, deploy self-hosted models on GPU — all inference stays on your infrastructure, and your charts remain on your physical disks. We purchase model tokens in bulk and give you every leading model through a single compliant subscription.
What clinical and compliance leads ask
Does any PHI leave our facility?
No. Protected Health Information never leaves your facility — inference runs against records on disks you physically own, with no third-party AI provider in the path.
Will you sign a Business Associate Agreement?
We provide physical infrastructure in a jurisdiction with EU adequacy and support a Business Associate Agreement (BAA), so your data stays where your regulator expects.
How is minimum-necessary access enforced for charts?
Vector search returns chart chunks only after verifying the clinician's role, department and consent scope, and identifiers such as names and MRNs are masked before any prompt is assembled.
What evidence do we have for an OCR or GDPR Article 30 review?
Every AI interaction is logged with a tamper-evident hash, giving you full, exportable records for OCR audits, GDPR Article 30 records of processing and internal review.
How do we stop clinicians pasting records into public tools?
By giving them a sanctioned alternative: every leading model through one subscription, plus self-hosted open models on GPU so inference stays on your infrastructure and there is no reason to reach for an unmanaged public tool.
Give your clinicians AI
your regulator can sign off on
See how liracode.dev runs compliant clinical AI on your own infrastructure. No generic slides — we walk through your actual PHI workflow.