Research
Programs
We are a research organization. Our programs are currently internal — we build before we broadcast. What you see below is the shape of the work and the standards behind it.
How we research
Our pipeline is in silico first: AI reads and structures the evidence, we build causal models of aging, and we simulate interventions in software. Human involvement is limited to non-invasive measurement and strictly reviewed observational studies — never the reverse.
Our research is internal for now: we build before we broadcast, and findings are shared when they are ready — methods and failures included. Until then, the free guides are how we put useful knowledge out without compromising the work.
| Stage | What happens | Human involvement |
|---|---|---|
| 1 · Discover | AI structures the literature; causal models are drafted and iterated | None |
| 2 · Simulate | Interventions are tested in computational models of aging pathways | None |
| 3 · Measure | Non-invasive observational data: wearables, standard blood panels, imaging | Consenting participants, low-risk methods |
| 4 · Validate | Findings are checked against independent data and peer review | None |
| 5 · Release | Whitepapers and guides — shared when ready, including negative results | None |
What we are working on
We will not trade safety for speed, and we will not trade honesty for attention. The field's reputation depends on organizations like ours refusing to overclaim.
What we publish
Our first whitepapers are planned for Q3 2026. They will cover our causal aging model, our literature-intelligence methodology, and — importantly — negative results and open questions.
Until then, research outputs stay internal. The lab log → tracks what the lab is doing, and the free guides → share what we know with the public.
Work with us
We collaborate with academic labs, clinicians, and data scientists who share our standards. If you work in aging biology, AI for health, or preventive medicine — and you value evidence over hype — get in touch →