Delineate

Pick Delineate when your team's bottleneck is turning scattered evidence into a defensible quantitative case. If you live in FDA reviews, EMA EPARs, and trial registries, and your next milestone hinges on a dose justification or an adaptive design, this tool compresses months into days. The dual independent extraction with formal arbitration and source-level verification is exactly what regulatory-heavy work demands, and the audit trail makes your model defensible in front of reviewers. For clinical pharmacologists building MBMA databases or biostatisticians doing evidence synthesis, it's a fit. Pass if you have no quantitative modeling need — a general-purpose AI writing tool won't do this, but neither will a full-featured EDC. If you're a small clinic without dedicated research staff, or you just need sample size calculations, Delineate is overkill; nQuery covers that simpler niche. Where it bites: it's design and analysis only, not an EDC. Data still lives in a system like Medidata Rave or Veeva Vault, and you'll need those integrations to move data in and out. Also, deep modeling expertise is still on you — Delineate accelerates, not replaces, the pharmacometrician's judgment. No public pricing is listed, so expect a sales conversation and budget accordingly. In practice, we'd reach for Delineate when you need a submission-ready quantitative package with traceability, and we'd pair it with your existing eClinical stack rather than replacing it.