AI infrastructure for target discovery, protein and enzyme design, and engineered biology.
Genafold Scientific Computing builds the AI platforms and computational pipelines that take a biology program from a raw biological signal to a validated result: disease target and biomarker discovery, protein and enzyme design, cell factory and strain engineering, and small molecule drug discovery from structure prediction through molecular dynamics validated hits. We work with biotechs, industrial biotech, and pharma partners who need results that hold up under due diligence and peer review not just a demo. Genafold is headquartered in Ontario, Canada, and works with discovery and engineering teams globally.
AI in biology has moved from promising to load-bearing.
The 2024 Nobel Prizes in Chemistry (computational protein design and protein structure prediction) and Physics (the neural-network foundations behind it) marked a turning point: AI is no longer an experimental add-on to biology, it's core infrastructure for finding disease targets, for designing new proteins and enzymes, and for re-engineering the cells that produce them. Multiple AI-designed drug candidates have already cleared FDA IND review and entered clinical trials, with some programs compressing early discovery timelines from an industry average of roughly 4.5 years down to 12–18 months. The same generative and predictive models are now moving into enzyme engineering and strain design for biomanufacturing. The tools driving this shift protein language models, generative sequence and structure design, variant-effect predictors are maturing fast, and the teams adopting them early are the ones setting the pace.
Where we work
All solutions →Disease Target & Biomarker Discovery
Turn multi-omics signal into targets and biomarkers you can defend.
Learn more →Protein & Enzyme Design
From structure prediction to designed binders and biocatalysts.
Learn more →Cell Factory Engineering
AI-guided strain and pathway design for production you can scale.
Learn more →Grounded in real science
Every tool is built alongside domain scientists, not designed in isolation from the labs that depend on it.
Visit About →From pilot to production
Consulting, training, and pipeline development teams that stay engaged past the first deployment, not just the sales cycle.
Visit Services →Let's talk about your data
Whether it's a research collaboration or a commercial deployment, tell us what you're trying to solve.
Visit Contact →