About findmyKOL
findmyKOL is the world's largest open directory of pharma KOLs: built from the public record, enriched by AI agents, matched to the right person, and cited on every number.
Our mission
Finding the experts who shape a therapeutic area shouldn't require a six-figure contract. The facts that matter (publications, trials, grants, payments) are already public; what's hard is stitching them to the right person and keeping them current. Our AI agents do that work continuously, so expert discovery becomes self-serve, defensible, and free where it counts.
Who it's for
Medical Affairs teams first: MSLs and their leads who cover multi-state territories and need to find, engage, and track the right experts for their indications, and bring them the science. Their world is compliance-wary by profession, so everything here is built to survive a legal review: neutral facts, cited sources, no conflict flags, no unsourced scores.
The open directory serves anyone mapping medical expertise: clinical operations teams scouting investigators, researchers studying their own fields, communicators checking a byline, or a patient looking up who actually runs the trials.
How we're different
- Enriched by AI agents. Public registries give every profile its verified foundation. Our AI research agents then work the open web (media coverage, conference talks, social presence, leadership roles) and keep re-checking what they found, so profiles stay rich and current instead of frozen at last year's update.
- Matched to the right person. A fact attached to the wrong Dr. Chen is worse than no fact at all. Every record is anchored to concrete identifiers where they exist (ORCID for the research identity, NPI for the clinical one) and otherwise confirmed by corroborating evidence before it appears. When the evidence isn't there, we leave it off rather than guess.
- Cited, neutral facts. Every public number carries an ⓘ naming its source. Public pages describe (counts, years, identifiers) and never interpret; judgments like the findmyKOL type ranking live in your account, so a compliance-wary reader always knows which layer they're looking at.
- Open at the base. The resolved directory (who a KOL is, where they work, what the public record shows) is free and indexed for everyone, not walled behind an enterprise contract.
Methodology
Every profile starts from public U.S. federal datasets. We report what the record says (counts, years, identifiers) and cite the source on each number. Our AI agents add what the registries can't: current roles, media, honors and online presence, gathered from cited public pages and verified before publication.
Facts on the page, judgments in your account
Publication counts, trial participation, and the existence of industry payments are facts drawn from government data, and that is all a public page shows. Interpretation (the findmyKOL type ranking, activity trajectories) lives behind your account and is never presented as a public fact. Payment dollar figures work the same way: public pages show the count of reporting companies and program years; itemized figures open with a Free account's monthly reveals.
Verified & provisional records
Not every record on a profile carries a status tag. That is deliberate. The rule is about where a record comes from:
- Federal-registry records (trials, industry payments, NIH funding, publications, the NPPES contact record) carry no tag. Each row links the government record itself; a “verified” badge there would be noise, and would imply untagged rows elsewhere are suspect.
- Agent-gathered records (education, roles, awards, media appearances, online accounts) are matched to the person by evidence, so every row states its status explicitly.
Independently corroborated: the record is backed by at least two separate public sources, or anchored to the authoritative registry through an identifier (ORCID / NPI).
Found in a cited public source but not yet independently corroborated. Shown as a labeled candidate (a link to the source, nothing more) while verification runs. We'd rather show you honest uncertainty than a silent guess.
A third outcome never reaches the page: when the evidence falls short of our bar, the record is left off entirely. We fail toward a missing fact over a misattributed one.
Sources
CMS Open Payments
Program years 2021 onward
PubMed (NLM)
Identity-bound via ORCID
OpenAlex
CC0, disambiguated by ORCID
ClinicalTrials.gov
Investigator role, v2 API
NIH RePORTER
Federally funded research awards
NPPES (CMS)
National Provider Identifier registry
ORCID
Verified researcher identity; anchors publications, works and congress records
OpenAlex
Published congress abstracts, DOI-verified
Contact
Questions, corrections, data or partnership ideas: use the contact form or write to hello@findmykol.com. If a profile about you is wrong, the fastest route is the “Suggest an update” control on the profile itself; we review every report.