Three auto-diagnostic engines — Population PK, Tumor Growth and Drug Release — that detect patterns classical exponential models miss. Non-regulated reports, automatic verdict, PDF in your inbox.
Demo mode: samples below use real public datasets and the same engine that paying clients get. Uploading your own data requires an approved account.
Three engines, three real datasets. Open each PDF to see the verdict, models compared and diagnostic plots — exactly the report a paying client receives.
Tell us your name, company and what you're trying to analyse. We reply within one business day with an upload link and a single-use checkout (€299 per report).
Upload your CSV, get a magic-link to the PDF when the fit completes (typically 5–10 minutes), and a copy in your inbox. No subscription, no commitment.
Detect memory effects and long tails that classical exponential models flatten out — common in fractured tablets, heterogeneous tissue and saturating tumour growth.
Up to 8 candidate models fitted in parallel. The engine ranks them and applies an explicit decision rule — no manual model-selection bias.
Stability check, residuals and "Best fit" badge in every report. If no model wins clearly, the PDF says so — no false-positive verdicts.
Non-regulated, designed to sit before NONMEM / Monolix / PKanalix. Good for biotech early-stage, CROs running internal triage, and academic exploration.