The VeroMass Platform

A unified computational ecosystem for authenticated metabolomics — from raw data to published results.

Overview

Authenticated metabolomics, end to end

The VeroMass platform unifies every stage of the metabolite identification workflow into a single, coherent environment. Built upon 40,000+ authenticated reference standards — each physically measured in both ESI+ and ESI− with verified MS² spectra and retention times — the platform applies a stringent three-gate verification protocol (accurate mass, retention time, and spectral similarity) to deliver MSI Level 1a confidence you can publish. From raw feature detection through compound assignment, spectral networking, and biological interpretation, every tool shares the same authenticated library and the same rigorous standard.

Products

One authenticated library. Four ways to work with it.

Every tool draws on the same 40,000+ measured standards and the same three-gate engine, so an identity confirmed in one is the same identity everywhere else.

Live

Compound Identification

MS/MS matching against an authenticated reference collection. Accurate mass, retention time and spectral similarity are checked independently to deliver MSI Level 1a confidence.

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Live

Compound Fishing

Query known bioactivity against your identified compounds, cross-referencing KEGG, PubChem, ChEMBL and Reactome to surface plausible targets and pathways.

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Live

Spectral Networking

Reveal structural relationships between named and unnamed features, so an identified compound lends its context to the dark matter around it.

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Live

Retention Time Predictor

Predict retention times for compounds outside the library using models trained on the measured set, giving you an RT prior where no standard exists yet.

Statistical Analysis

Identification is where most platforms stop. It is where the question starts.

Once compounds are identified, VeroMass runs the comparative statistics on the same data, in the same workspace — no exporting to a second tool and reconciling two sets of results.

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Multivariate structure

Principal component analysis and correlation structure across your samples, so group separation is visible before you test for it.

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Differential abundance

Volcano plots with fold-change and significance, backed by Welch’s t-test and ANOVA across your defined sample groups.

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Clustering & heatmaps

Hierarchical clustering, dendrograms, k-means and heatmaps to expose the patterns that separate your conditions.

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Classification models

PLS-DA, random forest and support vector machines for supervised separation, with permutation testing to guard against overfitting.

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Molecular networking

Spectral similarity networks that place identified and unidentified features in structural context together.

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Pathway enrichment

Map identified compounds onto biological pathways to move from a metabolite list to a mechanistic interpretation.

Quality & Search

The unglamorous work that decides whether results hold up.

Alignment, drift, and batch effects sink more studies than identification errors do. VeroMass handles them as part of the pipeline rather than leaving them to you.

Correction

Batch & drift correction

Retention-time drift correction and batch-effect correction across runs, so a multi-day study does not fracture into per-batch artefacts masquerading as biology.

Quality control

Spectral QC

Automated spectral quality assessment flags the acquisitions that are not fit to draw conclusions from, before they reach your results table.

MASST spectral search

Search a spectrum of interest against public repository data to find where else that molecule has been observed — useful context for a feature your own library cannot yet name.

Ready to transform your metabolomics workflow?

Get started with the platform that delivers publication-ready identifications — measured, not predicted.

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