Start with one therapeutic area or expert landscape
Bring us an existing KOL list, a therapeutic area or a scientific objective. We will show how fragmented expert information can become connected engagement intelligence.
Yarnit creates a connected view of established and emerging experts so Medical Affairs teams can understand who matters, why they matter and how engagement should be planned.

Publications, affiliations, research activity and professional relationships change continuously. Static KOL records quickly lose the context needed for meaningful engagement planning.
Scientific activity, institutional relationships, internal knowledge and engagement history often sit in unrelated sources.
Individual records rarely reveal how an expert connects to collaborators, research groups, institutions and scientific themes.
Teams need a clear, evidence-based reason for why an expert is relevant to a particular scientific or therapeutic objective.
Yarnit brings together scientific activity, institutional affiliations and engagement history through a connected context graph, helping teams understand expert relevance and plan engagements around clear scientific objectives

Build comprehensive expert profiles, discover emerging KOLs, map scientific interests and understand professional networks to support transparent prioritization and informed engagement planning

Bring together expertise, scientific activity, affiliations, relationships and internal engagement knowledge.

Surface experts whose recent activity suggests growing relevance within a therapeutic area.

Organize publications and other permitted signals into interpretable areas of interest.

Understand relationships among experts, institutions, research groups and scientific themes.

Show the evidence and criteria behind an expert's relevance instead of presenting a black-box score.

Help Medical Affairs teams establish appropriate objectives and context for future scientific engagement.
Bring us an existing KOL list, a therapeutic area or a scientific objective. We will show how fragmented expert information can become connected engagement intelligence.