Rewriting human aging with physics and AI.
Gero was founded to combat aging and complex diseases. We read the dynamics of human health as a physical system, then build AI that turns that understanding into new therapies and tools for drug discovery.
Three ways the work shows up.
One thesis, expressed as research, open tools, and partnerships that move it into the clinic.
The science of aging
We model the dynamics of human aging as a physical process. That framework lets us find the control points where intervention is possible and measurable.
Read the thesis →
ProtoBind-Diff
A diffusion model for de novo ligand design. Generate target-conditioned molecules directly from protein sequence, without a co-crystal structure.
View the model →
Harvest
An open benchmark and dataset for evaluating models on real biological discovery tasks. Built so the field can measure progress on the same ground.
See the benchmark →
Aging is not a mystery. It is a dynamical system.
Most of biology treats aging as an accumulation of unrelated damage. We treat the organism as a complex system and study how its state drifts over time. That physics-first view reveals where the system loses resilience, and where a therapy could restore it.
From that foundation we build AI that designs molecules, ranks targets, and tests hypotheses against real data, compressing the distance between an idea and a candidate.
Read the full science page →"Aging is the largest unaddressed driver of human disease. If we can understand it as a physical process, we can intervene in it. That is the entire purpose of Gero."Gero
The platform, in two open tools.
We release work the field can use and check. Each tool sits on the same physics-and-AI foundation.
Let's talk about aging, discovery, or a collaboration.
Whether you run a research group, a pharma BD team, or an investment fund, we want to hear what you are working on. Tell us the problem and we will tell you where Gero fits.