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Aurenex

Research & discovery

Evidence you can defend, at discovery speed

Harmonised omics, traceable evidence chains and agents that triage candidate targets without hiding how they reached the ranking.

How we approach it

Three commitments we hold to

01

Provenance first

Every merged cohort decomposes back to its source studies, consent terms and processing versions.

02

Evidence chains

Target rankings expose the literature, pathway and omics evidence behind each position.

03

Reproducible by default

Analyses export as runnable queries, not screenshots, so results survive review.

Agents

Agents that work in this domain

Services

How engagements are structured

Life Sciences Expertise

Discovery Research

We build the data foundation research organisations need to reason across genomics, proteomics, imaging and literature — then layer agentic analysis on top so scientists spend their time on hypotheses, not plumbing.

  • Multi-omics harmonisation pipelines
  • Target and biomarker evidence graphs
  • Reproducible analysis environments
  • Scientist-facing exploration interfaces

Engineering Expertise

Data Engineering

Modern lakehouse foundations with explicit data contracts, automated quality gates and end-to-end lineage, engineered so that downstream analytics and AI inherit trust rather than assume it.

  • Lakehouse and streaming architecture
  • Data contracts and quality gates
  • Column-level lineage
  • Cost and performance optimisation

FAQ

Questions we are usually asked

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