The data thesis
Reproductive health is the gateway to metabolic health.
FertiHealth's products generate what doesn't exist today: a prospective, longitudinal dataset linking behaviors, biomarker trajectories, and reproductive outcomes.
Fertility apps track cycles. Wearables track biomarkers. Lab subscriptions return results without telling her what to change. Clinics run diagnostics after a 12-month delay. None of them connect guidance, coaching, and biomarker assessment into one pipeline. None have operationalized STRAW+10, the gold-standard framework for reproductive aging, at commercial scale.
Every cycle is a biomarker and an opportunity to intervene. We focus on health, not on the two lines and not menopause as a completion event. We never ask her whether this was the month, which would only add anxiety. When it happens, she tells us, with months of behavior and biomarkers already behind it.
As it grows, the dataset predicts fertility decline before it becomes infertility. Our architecture is built for it.
Fertility is where she arrives. Hormonal and metabolic health is what she stays for. The biomarkers that tell her how soon to act are the same ones that map the perimenopausal transition a decade later. Most fertility companies lose the user the moment she succeeds.
Every product feeds one dataset. Every user makes it more valuable. That compounding is the company's core asset. It is also what we are building to license: clinical decision support for health systems, designed to be used with providers rather than around them.