SynexAI / Clinical interaction intelligence
One brain for pharma and medical affairs. Every conversation, source-backed and auditable.
Turn conversations into evidence-linked actions.
The person and the evidence, together.
Defined work, with review built in.
The problem
How it works
Meeting insights
Transcript excerpts / Suggested follow-up
Insights, requests and tasks, beside the transcript that prompted them.
Affiliations, publications and dated graph evidence on one profile.
Each specialist's purpose and release status, before work begins.
Open, blocked and done, for people and agent runs alike.
Capabilities
Every conversation in one governed record.
What matters, why, and what next.
Signals become tasks, closed with evidence.
Rooms for sponsors, CROs and sites.
Evidence-backed cards for deviation and CAPA calls.
Compliant notes, flags and routing from meetings.
Every AI action logged and signed.
Risk and insight trends, tied to source.
The agent layer
Models summarize and classify. They never source facts.
Pre-Call Briefing
Context ready before every HCP meeting.
Why SynexAI
Few can do it in a way compliance signs off on.
How we start
The first loop
It works from permissioned conversations, links every output to its source and answers only from approved content. If the content doesn't support an answer, it refuses.
