The Story That Started It All
One rescue dog.
One data analyst.
One breakthrough.
When Paul Conyngham's rescue dog Rosie was diagnosed with cancer, he refused to accept that nothing could be done. With no biology background, he approached it as a data science problem — spending $3,000 to sequence Rosie's healthy and tumor DNA, then running open-source bioinformatics tools to identify the mutations driving her cancer.
Using protein structure prediction and AI-driven binding affinity models, he identified the exact peptides most likely to trigger Rosie's immune system — and generated a personalized mRNA blueprint from scratch. The vaccine was synthesized and administered by a veterinary oncologist. Within weeks, Rosie's tumor had shrunk by half.
The biology was already there. It just needed someone willing to treat it as a data problem.
50%
tumor reduction in weeks
$3,000
Sequencing cost
AI-Designed
mRNA blueprint
Weeks
To see results