About

Builder of Aeon
I built Aeon for myself first. I co-founded and run a digital health company, and I follow the longevity research closely. The work of Peter Attia, Andrew Huberman, Rhonda Patrick, and David Sinclair has shaped how I think about healthspan. I wanted a tool that could take my own lab results and tell me exactly where I stood — not against clinical reference ranges, but against the evidence for what actually extends healthy years.
Nothing I found did that well. The $500 apps lock you into proprietary lab kits and sell supplements on the back end. ChatGPT hallucinates biological age and cites studies that don’t exist. I wanted something grounded in peer-reviewed research, built on validated models like PhenoAge, and honest about what the science does and doesn’t support.
So I built it. Aeon calculates biological age from real biomarkers, maps every value against longevity-optimal ranges, and generates a prioritized action plan citing 45+ specific studies. No account, no upsell, no data stored.
A few friends tried it. They asked if they could share it. That conversation turned into this.
I work in healthcare regulatory and compliance every day. That background shaped how Aeon handles your data: no accounts, no storage, no identifiable information sent to the AI model. Privacy isn’t a feature here. It’s the architecture.
Longevity science is something I care about. The gap between what the research says and what most people act on is too wide. This tool is my attempt to close it, one lab panel at a time.
How AI fits in
Free
No cost, no catch
Private
Data cleared on exit
Evidence-based
45+ peer-reviewed studies
Questions, feedback, or want to connect?
mike@getaeon.aiAI-powered. Science-constrained.
How we calculate thisAeon is not a medical device and does not diagnose, treat, or prevent disease. All recommendations are informational. Consult your physician before making changes to your health regimen.
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