Skip to content
Aurenex

Research AI

Harmonising omics across forty sources

What we learned building a cross-consortium omics layer that scientists actually trust.

Dr. Priya Raghavan · Chief Scientific Officer · 7 min read

Harmonisation projects fail when they optimise for coverage over provenance. Scientists will not trust a merged cohort they cannot decompose.

We retained sample-level provenance throughout, meaning any cohort can be traced back to its constituent studies, consent terms and processing versions.

The consequence is slower ingestion and much faster adoption — a trade we would make again in every programme.

  • omics
  • harmonisation
  • research

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.

Talk to an architect
See the work