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Multi-omics results · Clinical and translational research

Work through your results together.

Interpretation is the slow part, and it is slow because the work is scattered.

Axiome, your hub for

exploring cohort data, applying your own domain rules, comparing groups, working with partners, agreeing on one interpretation

Your team screens the results, runs the comparisons it already needs, applies its own criteria and discusses them on the figure, instead of reconciling five versions afterwards.

Request a demo How it works
Filtering a cohort and comparing groups in an Axiome results workspace.

Group comparisons and before/after tests, without a queue

  • Faster, and measured
  • The audit generated, not assembled
  • Zero file transfer
  • Your time back to the science

Everyone in the same room, on the same version.

Biologists, bioinformaticians and clinicians working on the same results at the same time, on one version, instead of reconciling files afterwards.

An Axiome analysis seen from an external sponsor's seat: the published finding and the evidence it rests on, without the team's working files.
Your sponsor sees the finding and what it rests on, not your working files.
An Axiome subject delta view: the same patients at two timepoints, before and after, side by side.
The same patients, before and after, side by side.
Several institutions in one study workspace: members each under their own organisation, and every project carrying the institution it came from.
Several institutions, one study, each under its own identity.

Why

The results are fine.
Everything after them is scattered.

Fragmented workflow

"Analysis in a script, figures in a folder, interpretation in a slide, discussion in email, decision in someone's head."

One place where the work is the record.

The unwritten choice

"Someone set a cutoff. Nobody remembers who, why, or whether it was ever revisited, and it's still in the pipeline."

Thresholds are explicit, versioned objects with an author and a rationale, not constants buried in a script.

Ready for the next question

"The study closed eighteen months ago. The sponsor has a new question about it and the person who ran the analysis has moved on."

The work stays available and answerable after the engagement ends, so the next question is a lookup instead of a reconstruction.

Writing it up

"A reviewer asked how we chose the cutoff. Reconstructing the answer took longer than the revision itself."

Every conclusion carries its evidence, its parameters and its author, so the answer to "why that threshold" is already written down.

Why Axiome and not something else

You don't document the work. The work documents itself.

Parameters, versions and authorship are recorded as you go. The audit report is generated, not assembled by hand.

An Axiome workspace beside a generated, co-branded PDF export carrying its provenance stamp.

It doesn't draw the conclusion. You do.

Your conclusion is published with a version, the decisions behind it, and the evidence it rests on. Export it and all of that travels with it.

An Axiome interpretation record: the statement, the evidence it cites, its author and timestamp.

Each conclusion is linked to its proof.

Every figure and threshold traces back to its source in one move.

An Axiome volcano plot in publication mode with a significant gene hovered, its data table beside it.

What it looks like

Explore the data, review it with your team, record what it means, and know where it runs.

Filter a cohort, compare groups, and run the standard tests without waiting on anyone.

See the platform →
Filtering a cohort and comparing groups in an Axiome results workspace.

Start with your own data.

We can work from your existing pipeline outputs, in your infrastructure. We can sign an NDA before anything is shared.

Request a demo

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