Target by what they actually prescribe.
Part D prescribing patterns, Open Payments relationships, and specialty-aware scoring — so your field team calls the prescribers who matter for your molecule, prepared.
Target lists go stale
Deciles from last cycle, spreadsheets from the data team, and no way for a rep to ask a new question without a ticket.
Relationships are opaque
You can't see who is already deep in competitor speaker programs — or who is an active investigator in your therapeutic area.
Pre-call prep eats the day
Publications, trials, affiliations, recent news — assembled by hand for every priority HCP.
Open Payments, made searchable
Payment-level Sunshine Act data rolled up by manufacturer and payment type, with engagement flags for active speakers, consultants, and principal investigators — and it responds to plain English: "rheumatologists with heavy pharma speaker relationships."
Learn more →Describe the prescriber, get the list
Specialty, geography, prescribing behavior, and relationship signals resolved from one sentence — no taxonomy charts, no analyst queue.
Learn more →The dossier, before the call
Publications, trial involvement, conference appearances, and practice news — gathered, synthesized, and cited on demand for any HCP in your pipeline.
Learn more →A queue that learns your wins
Explainable 0–100 scoring across fit, readiness, and reachability — tuned by your recorded outcomes, not a generic model.
Learn more →Prescribing patterns by drug and drug class — the ground truth for pharma targeting.
Five years of payment-level industry relationships, by manufacturer and nature of payment.
Investigator activity and publication history for KOL and speaker identification.
Verified identity, specialty, licensure, and disciplinary history.