About VeroMass
We built what we needed: authenticated metabolomics at scale.
Founded by analytical chemists,
for analytical chemists
VeroMass was born in the lab — literally. Our founding team spent years at the bench, running LC-MS/MS experiments day after day, frustrated by how many features in untargeted metabolomics datasets remained unidentified. Public spectral libraries were sparse, predictions were unreliable, and the standards that did exist were scattered across incompatible formats.
We knew that confident metabolite identification required authenticated reference data — compounds physically measured under well-defined conditions. So we set out to build what the field needed: a unified, rigorously curated library of authenticated reference standards, each measured in both ESI+ and ESI− with verified MS² spectra and retention times, backed by computational tools that put MSI Level 1a confidence within reach of every researcher.
Today, VeroMass serves academic labs, pharmaceutical R&D teams, and clinical research organizations worldwide. Our mission remains the same as the day we started: make authenticated metabolomics accessible to everyone who needs it.
53% of LC-MS features go unidentified. We changed that.
Untargeted metabolomics generates thousands of features per run, but the majority remain unannotated — a bottleneck that limits biological insight and publication confidence.
Traditional approaches rely on predicted spectra or small, fragmented libraries. By combining the world's largest measured reference library with a rigorous three-gate verification protocol, VeroMass enables researchers to confidently identify compounds that would otherwise remain as unknown features.
Rigor, transparency, reproducibility
Three principles that guide every decision we make — from how we acquire and annotate standards to how we design our software and communicate results.
Rigor
Every standard in our library is physically acquired, prepared, and measured under controlled conditions. We do not use predicted spectra or computational proxies. Each compound is run in both ESI+ and ESI−, and every identification passes three independent verification gates before it is reported.
Transparency
We make our methods, data, and confidence metrics fully visible. Every identification includes the raw match scores for each of the three gates, so you can evaluate results on your own terms — no black boxes, no hidden thresholds.
Reproducibility
Our platform is designed so that any researcher, in any lab, with the same data will obtain the same identification results. By anchoring every workflow to authenticated reference data, we eliminate the variability that plagues library-dependent metabolomics.
Have questions or want to learn more?
Whether you're evaluating the platform for your lab, interested in collaborating, or just curious about what we do — we'd love to hear from you.