De-Identify PHI For Your Healthcare AI Products
AI security to make ambient scribes, clinical agents, and healthcare AI products HIPAA compliant.
Healthcare AI can't compromise
on accuracy or output quality.
Mavs AI substitutes PHI while keeping the context
medical AI needs to perform.
You focus on healthcare.
We cover the PHI security.
Pass HIPAA Security Reviews
Sell to Covered Entities
Prove your product protects PHI
Audit logs on every call, and PHI that never reaches the model. Hard evidence, not a claim.
Answer security questions without stalling the deal
Walk into reviews with proof and a BAA, so compliance stops holding up your sale.
Spend engineering time on your product
No PHI pipeline to build or maintain. You handle your domain, we handle the PHI layer.
Three Pillars of the Mavs AI Control Layer for HIPAA Compliance
CONTEXT-PRESERVING
SUBSTITUTION
Identifiers swapped for realistic synthetic data, consistent across a prompt, formats and date intervals preserved, fully reversible inside your boundary.
FREE-TEXT PHI
DETECTION
Finds PHI inside narrative clinical notes, not just structured fields. Reads content as language, not regex.
AUDIT LOG
ON EVERY CALL
Each call, substitution, and response logged immutably. Evidence for every prompt.
How we Ride?
Integrate in a Day
Simply point your existing model calls at the Mavs proxy. LLM-agnostic, so your provider choice does not change.
const openai = new OpenAI(); const res = await openai.responses.create({ model, input });const mavs = new OpenAI({ baseURL: "https://your-company.engine.in-s1.on.mavsai.ai/", // only change}); const res = await mavs.responses.create({ model, input });Trust And Compliance
How Builders Handle PHI in LLM calls
| Requirement | Send raw PHI (model BAA) | Masking / redaction tool | Build it yourself | Mavs AI |
|---|---|---|---|---|
Accuracy & context kept output quality |  Full (raw PHI) |  Context stripped |  Hard to keep | Full context kept |
PHI kept from third parties §164.514 · §164.502(e) | Raw PHI sent | PHI stripped | Depends on build | Only synthetic leaves |
Reversible output inside your boundary | Not needed | Not reversible | You build it | Rehydrated for you |
Audit evidence per call §164.312(b) | Provider-dependent | Varies by tool | You build it | Immutable per-call log |
Engineering effort build vs buy | Low, PHI exposed | Medium | High, ongoing | One integration |
| Requirement | Mavs AI | Send raw PHI | Masking | Build |
|---|---|---|---|---|
Accuracy & context kept output quality | Full context kept | Full (raw PHI) | Context stripped | Hard to keep |
PHI kept from third parties §164.514 · §164.502(e) | Only synthetic leaves | Raw PHI sent | PHI stripped | Depends on build |
Reversible output inside your boundary | Rehydrated for you | Not needed | Not reversible | You build it |
Audit evidence per call §164.312(b) | Immutable per-call log | Provider-dependent | Varies by tool | You build it |
Engineering effort build vs buy | One integration | Low, PHI exposed | Medium | High, ongoing |
Built For Ambient Scribes, Clinical Agents, And Copilots
Frequently Asked Questions
Is Mavs a business associate, and will you sign a BAA?
Yes. When Mavs processes PHI on your behalf it acts as a business associate and will enter a BAA.
Does PHI ever reach the LLM?
No. PHI is replaced with synthetic equivalents at the prompt boundary before the prompt leaves your environment, so the model receives only synthetic data.
How do you de-identify the data?
Mavs substitutes identifiers with granularly similar synthetic values so the model keeps usable context, while the real PHI stays in your perimeter.
Where does Mavs run?
In the cloud or fully within your own VPC or private environment.
Which models does it work with?
Model- and platform-agnostic: OpenAI, Claude, Gemini, LLaMA and others.
