About us

Nature already ran the experiments.

Pangenome AI reads four billion years of natural experiments and turns them into predictions researchers can test.

Every species carries a record of what worked and what never survived. We built models that can read it.

Pangenome AI was founded by Professor James McInerney out of decades of research in evolutionary biology — and one conviction: that four billion years of recombination and selection have already tested more genetic combinations than any laboratory ever will.

Our Large Pangenome Models process millions of genomes to recover that evidence. Applying transformer architectures and attention mechanisms to pangenomes — the complete gene repertoire of a species — lets us predict which genetic combinations work together, and which quietly fail.

Who is behind this

founder · scientific lead

Professor James O. McInerney
“The rules of genetic compatibility are already written down. They are just written in a language nobody had read at scale.”

Professor James O. McInerney — Founder & Chief Scientific Officer. Twenty-five years in evolutionary genomics and computational biology, with a PhD and DSc and work published across Nature, Science and PNAS. Enquiries reach him directly.

Peer-reviewed papers

Research funding awarded

In evolutionary genomics

Appointments & honours

01

Past President, Society for Molecular Biology and Evolution

Led the field’s principal international society, with more than 5,000 members worldwide.

02

Chair in Evolutionary Biology, University of Liverpool

With prior senior appointments at the Universities of Nottingham and Manchester.

03

Head of the School of Life Sciences, University of Nottingham

Responsible for one of the UK’s largest life sciences schools and a £200M budget.

04

Fellow, American Academy of Microbiology

Elected to an academy of roughly 2,000 microbiologists worldwide.

05

Fellow, European Academy of Microbiology

Recognising sustained contribution to microbiological research in Europe.

06

Visiting Professor, Harvard School of Public Health

Ongoing collaboration with computational biology groups in the United States.

Our mission

Make the rules of genetic compatibility predictable.

01

Decode nature’s blueprints

Recover the genetic rules encoded in four billion years of evolutionary history.

02

Cut the cost of getting it wrong

Replace experimental trial-and-error with predictions that can be tested cheaply and early.

03

Address global challenges

Antimicrobial resistance, sustainable energy, and the next generation of biotechnology products.

04

Democratise access

Put pangenome-scale analysis within reach of researchers who do not run their own compute.

How a Large Pangenome Model works

live · alignment across strains

pangenome · alignmentscanning

01 · Variation

Thousands of genomes per species, aligned so that presence, absence and rearrangement are all first-class signal — not noise around a single reference.

02 · Constraint

Transformer architectures learn which combinations of genes co-occur, and which the historical record has never tolerated.

03 · Prediction

Those constraints become testable predictions: compatibility, emerging resistance, and the real limits of engineering.

Where we are

Built in England’s Northern Powerhouse.

We sit inside the UK biotechnology corridor, with world-class universities and research facilities on the doorstep. Our work is supported by the BBSRC and the Leverhulme Trust, and involves collaborations with Harvard and institutions across Europe and Brazil.

Work with us

Tell us what you are trying to find out.