EVIE turns approved clinical documents into structured, governed evidence objects that AI systems can retrieve. So when something answers a question about your therapy, it answers from your evidence, with the source attached.
EVIE structures approved clinical evidence so AI systems can find it, cite it, and stay inside what has been approved.
Ask an AI system about a therapy and it will answer. Whether it used your approved evidence, or something it found, is not up to you today.
Clinical, regulatory and scientific source material becomes structured evidence objects an AI system can actually query.
Compliance controls, access controls and audit logic wrap the evidence, so what gets retrieved is what was approved to be retrieved.
AI responses get grounded in approved, traceable evidence instead of whatever the model absorbed on its own.
EVIE is evidence infrastructure for Medical Affairs: the layer that lets AI systems use approved clinical context safely.
EVIE holds the evidence and serves it. What asks for it, and what it does with the answer, happens elsewhere.
The people responsible for what the science actually says, and for what happens when someone answers on its behalf.
Approved clinical, regulatory and scientific documents in. Structured, retrievable objects out.
Every object carries the controls that say who may retrieve it and under what conditions.
The evidence is served to AI systems through a standard layer, not copied into each one.
EVIE is not a deliverable you present. It is a layer that keeps running behind whatever asks it a question.
AI-assisted answers grounded in approved clinical evidence.
Make clinical evidence available to HCP, payer or internal AI workflows.
Surface subgroup-level findings that stay buried inside source documents.
Cut hallucination risk by giving AI systems governed source context.
Clinical evidence converted into structured context objects, wrapped in compliance and access controls, distributed through an MCP layer.
Live todayPurple Pen and other downstream tools draw their approved context from EVIE instead of holding their own copy.
In buildSubgroup-level findings buried in source documents become retrievable without knowing they were there.
On the roadmapFrom engagement to something a Medical Affairs team can stand up on its own evidence base.
On the roadmapFull milestone dates confirming with the product team.
When an AI system speaks about your therapy, it speaks from what was approved, and the source is attached to the answer.
Bring one therapy's approved evidence base. We will structure it, govern it, and show you an AI answering from it with the source attached.