Longitudinal by default
The patient state is resolved from the full record—across encounters, specialties, and years—before the physician asks any question. Trajectory is a first-class clinical signal, not an afterthought.
Clinical AI that earns its place in the room.
Aurevia's architecture is grounded in a specific view of how clinical AI can be structurally trustworthy—not because the underlying models are perfect, but because the information they reason over is carefully constructed.
THE RESEARCH FOUNDATION
Failure modes that structure exposes
The academic literature has documented a consistent set of failure modes in current clinical AI systems: recognition-without-action in trajectory-dependent emergencies, susceptibility to misinformation embedded in authoritative clinical prose, accuracy collapse under concurrent clinical workloads, and demographic bias that persists across models of every size and training approach. These failures are not model limitations that scale will solve. They are structural properties of how clinical AI is typically built—specifically, the absence of a persistent longitudinal patient state that the model reasons from.
Aurevia's architecture is designed to address these failure modes at the substrate level. The patient state is built from the full longitudinal record before any encounter, with each clinical conclusion grounded simultaneously in source documents and in the current evidence base.
ARCHITECTURAL PRINCIPLES
Built into the substrate
Absence as information
The state surfaces what is missing from the record as readily as what is present. A five-year echo gap in a heart failure patient is a signal. An SGLT2 inhibitor never prescribed to an eligible diabetic is a signal. These are clinically material and structurally invisible to systems that only reason over visible documents.
Suppression discipline
Signal surfaces only when it clears a high-confidence threshold grounded in the evidence base. Silence is the default. This is a structural choice, not a post-hoc safety layer.
Traceable provenance
Every clinical conclusion in the state is linked to its source—the specific document, encounter, and evidence-base citation from which it was derived. Auditability is built into the architecture, not bolted on.
VALIDATION POSTURE
Claims, evidence, and what we measure
Aurevia is undergoing independent evaluation through a sponsored research agreement with an academic medical center, measuring physician orientation speed, cognitive burden, and clinical reasoning quality under realistic clinical conditions. Additional institutional evaluations are underway. Aurevia publishes design claims transparently, distinguishes between architectural decisions and validated outcomes, and holds itself to the evidentiary standard physicians expect of any tool that enters clinical practice.