Upload your RDML file and get efficiency-corrected results with a full audit trail. Even the methods section writes itself.
Method peer-reviewed in Bio-Protocol (Müller & Tiret, 2026) Read the paper →
qPCR analysis isn't supposed to be the hard part. We built Ampliova because the gap between a raw Cq value and a defensible fold change deserves the same rigor as the experiment itself.
What you get
Time, not technique
Manual analysis means exporting Cq values by hand and rebuilding efficiency formulas from scratch. Then you hope the error doesn't surface at review. One upload replaces the whole chain.
No R and no Excel. Not even Python.
Upload a file and configure your batch, then download your results. It all happens right in the browser.
Every method supported.
Efficiency-corrected (LinRegPCR) or classic ΔΔCt. Reference gene stability validation included.
Every result traceable.
Full audit trail from raw Cq to fold-change. Auto-generated Methods section, one click.
Coming soon · interactive preview
Primer database. A community-curated library of validated qPCR primer pairs: exon-precise genomic mapping, off-target specificity screening, efficiency history. Look up what other labs have already validated instead of guessing at a new pair.
One fixed price per seat, however many experiments you run · Founders pricing, subscribe before June 2027, rate locked for 24 months
Hosted in the EU (Ireland) · Encrypted in transit & at rest (AES-256) · Never used to train AI models · Delete everything, anytime · Export your data, no lock-in · Full privacy policy