Trust-aware AI for Multilingual Care
Auravio uses AI-powered medical interpretation, trust-aware translation, and FHIR-ready clinical workflows to help clinicians and patients communicate across language barriers.
The Problem
Language barriers in care create real clinical risk
01
Unsafe miscommunication
Symptom descriptions, pain details, and timelines can be misunderstood during care.
02
Low trust in generic tools
Most translation apps do not show uncertainty or explain when the output may be risky.
03
Poor discharge understanding
Patients may leave without fully understanding medications, follow-up steps, or warning signs.
Why Current Solutions Fail
The tools clinicians use today don't fit clinical environments.
Generic translation apps optimize for fluent-sounding output. They don't preserve medication names accurately, they silently drop negation, they hallucinate detail to fill gaps, and they have no way to tell a clinician when their output is wrong. A confident translation that flips "no allergies" into "has allergies" is more dangerous than no translation at all.
Phone interpreters are slow, expensive, and limited to scheduled availability, not the moment a patient is describing chest pain in the exam room. Auravio is built for that gap.
The Solution
A clinical communication system, not just a translation tool
Auravio combines speech recognition, medical translation, trust analysis, and structured outputs so cross-language care is safer, clearer, and easier to document.
Built for multilingual clinical environments.
Auravio is architected for HIPAA-aligned operational practices and BAA-ready deployment.
Configurable retention
Session-level deletion
OIDC single sign-on
Role-based access
Encryption at rest for all patient-derived data
Append-only audit log for every session event.