What Veraxa is

Most data problems are caught far too late, after the analysis is run, the figures are made, sometimes after submission. Veraxa moves that check to the start. You upload your data, and before any analysis touches it, Veraxa tells you whether it's the data your study was meant to produce, and flags anything that doesn't fit, with a clear, actionable explanation.

What makes that possible is context. Because your design lives in Praxis and the relevant literature lives in Lumen, Veraxa already knows what your data should look like, so it can check the data against your actual experiment, not just against a file specification.

Why it's different

That second half, checking data against the body of published work, and doing it together with your own design, is the part no shipped tool does. It's only possible inside a closed loop where the design and the literature are already on hand.

What it checks

Four independent checks, all anchored to one thing, your upload at the centre.

1. Format & quality

   Is the file readable and sound? Veraxa profiles the contents and surfaces the data-quality issues that matter for your file type.

2. Consistency with your design

   Does the data match the experiment you planned, the right samples, the right groups, the right balance between them?

3. Consistency with the literature

   Does the data resemble what comparable published studies produced, and where it differs, which studies set the expectation?

4. Privacy & standards

   Is the data free of personal identifiers, and does it follow the community standards your collaborators and journals expect?

Each finding comes with what was expected, what was actually found, and what to do about it. Where the evidence isn't strong enough to judge, Veraxa says so rather than guessing, the platform suggests, you decide.

Veraxa never blocks, it warns

Veraxa never silently changes your data and never stops you. It surfaces what it found, ranked by how much it matters, and leaves the call to you. The one firm line is personal data: anything that could identify a person must be removed before the data moves downstream. Everything else is information for your judgement.

What you get

• A clear verdict, proceed, or resolve a few things first, with every finding explained.
• A harmonised, analysis-ready copy of your data (your original is never touched).
• A validation certificate you can keep with your records or attach to a submission.
• A manifest that carries forward to the rest of your workflow.

Supported formats

More formats are added over time. Aligned with the community standards your field already uses (MIxS, MIAME/MINSEQE, BIDS, and standard identifier and taxonomy references).