How Devano and Verge Genomics Are Reimagining Data Curation

At Devano, our mission is to use modern AI to eliminate the manual bottlenecks that slow down scientific discovery. We believe AI agents can finally make tedious biomedical data wrangling a thing of the past.

Today, we’re excited to announce our first strategic partnership with a team that shares that vision: Verge Genomics.

Over the past few months, Verge and Devano have partnered to tackle the problem of GEO data curation. With Devano’s GEO and PubMed agents, the Verge team can now compress days of manual work into just minutes.

We started Devano with a simple but ambitious mission: use modern AI to solve the everyday challenges that impact the pace of scientific discovery.

In the life sciences, data exists in a fascinating ecosystem of interconnected knowledge. Biomedical information naturally spans diverse formats, sources, and systems—reflecting the rich complexity of biology itself. This creates a fundamental challenge: questions that should be straightforward to answer often require hours of tedious manual work.

A researcher looking to compile "all human kidney studies using single-cell RNA-seq" faces a deceptively complex task. This information might exist across Gene Expression Omnibus (GEO), PubMed, supplementary materials, and other sources, but connecting the dots means manually:

• Sifting through free-text fields that might describe "kidney," "renal tissue," or "nephric samples"
• Cross-referencing papers to find crucial sample metadata not included in repository entries
• Determining experimental methods from inconsistently formatted protocol descriptions
• Understanding the access patterns and limitations of each data source

This manual connection-making steals time from the creative, high-value work that advances science.