V Vupra

Biological discovery, with agents built in

An AI workspace for biological data

Vupra helps scientists search, analyze, and reason across sequences, structures, papers, databases, and workflows.

Biology is becoming a software problem

Modern discovery depends on code, databases, models, pipelines, and scientific judgment.

But the tools are scattered across terminals, notebooks, papers, portals, and private data systems. Vupra brings them into one AI-native workspace.

Starting with AnalogScout

AnalogScout helps teams find and evaluate biological analogs across the evidence they already trust.

It is designed for sequence search, structure search, private databases, and the messy reasoning that happens between raw results and a real decision.

sequences structures papers databases workflows

Built for teams doing real bioinformatics

For computational biologists, bioinformatics teams, protein engineers, synthetic biology teams, and R&D groups working with proprietary biological data.

Vupra is designed to work where your data and tools already live.

Help shape Vupra

We are working with early design partners who want a better way to search, analyze, and reason across biological data.

Request early access