KOL AI from Alpha Sophia is a powerful search engine built for life sciences teams, enabling KOL identification at scale:
Search decades of scientific literature using disease keywords or compound names
Find top publishing clinicians and researchers
View full publication histories instantly
Looking for glioblastoma specialists? Just enter those keywords, filter results, and get a list of credible experts in seconds.
What sets Alpha Sophia apart is the blend of publication insight with structured clinical data:
Diagnosis and procedure claims reveal who treats specific conditions
Open Payments data shows industry relationships
Affiliations reveal where the KOL practices
Training history provides academic background
You can differentiate between a prolific researcher and one with clinical heft and payer data—a crucial distinction for medical affairs and KOL programs.
Let’s say you’re assembling a glioblastoma Medical Advisory Board:
Plug in search terms like glioblastoma, specific compounds, or mutations
Filter for top journals or co-authored clinicians
Pull clinician profiles with relevant billing activity
Vet industry relationships through Open Payments
Choose KOLs with both scientific authority and field credibility
Everything can be done without hundreds of manual searches or spreadsheets.
KOL AI isn’t generic AI—it’s powered by structured, verifiable data:
A vast publication database updated in real time
Linkage to verified HCP profiles
Integration with clinical, affiliations, and payment data
Your KOL searches yield audit-ready, evidence-backed insights—not guesses or summaries.
Whether your goal is to:
Source speakers for congresses
Populate medical advisory boards
Prioritize KOLs for clinical engagement or market launch
Alpha Sophia’s KOL AI streamlines the entire process. No more time-intensive PubMed digging + manual licensing + Open Payments validation.
Trusted across pharma, medtech, and consulting, the platform empowers teams to:
Identify and segment KOLs
Manage speaker or advisory board selection
Optimize trial site initiation
Support cross-functional collaboration