Biology
Labs, biomarkers, and molecular signals of aging.
from the memberOne health age, measured across six dimensions — long before an adverse event happens.
Two people the same age can be a decade apart. Health age is how old your body actually is, based on data.
Six dimensions, each reading different data, each contributing years. Hover any one to see what feeds it.
Each dimension is computed on its own, from published methods, then combined into a single age. The shaded shape shows how much each one is moving this member's number.
Built from peer-reviewed methods, and never a black box.
Labs, biomarkers, and molecular signals of aging.
from the memberNutrition, activity, sleep, and sedentary time.
from the memberCardiorespiratory fitness and body composition.
from the memberChronic condition load, scored on the Charlson index.
from plan dataEnvironmental and social drivers of health.
from plan dataMedication adherence, as proportion of days covered.
from plan dataRisk scores describe a moment. An age describes a trajectory.
A population is not an average. It's thousands of separate trajectories, and the ones drifting older are where both illness and cost concentrate.
Every angle on a person’s health. One engine, any scale, always live.
Most employers see their workforce's health in arrears — a report of what already happened. This is the same population, measured forward.
An eligibility file, and a lab or screening file if you already run one. Enough to score a population.
If your plan is self-insured, a claims feed from your TPA adds Burden and Bonds. We give you the spec to hand them.
See the employer page →Calendar age counts your years. It doesn't measure them. Your health age is the age your measurements actually resemble. Lower is worth knowing. Higher is worth knowing sooner.
The employer-facing product is aggregate by construction. There is no screen on which an employer can see one member.
See the patient page → Not through an employer? →Underwriting runs on a census and a claims history. A forward measure of a population's biological age is an input the market doesn't have.
Health inference touching anything underwriting-adjacent raises real questions under the ADA and GINA. Built with counsel from the start, or not at all.
Tell us what you'd need →A value-based provider can act on a flag in a way an employer cannot. That's where measurement most directly becomes care.
A measurement has to prove it predicts something before it can credibly drive care. Employers produce that evidence.
Tell us what you'd need →A longitudinal, consented, multi-dimensional dataset is useful as real-world evidence and as a route to trial-eligible participants.
Selling data before earning trust is how health platforms lose the members who make them valuable. Consent comes first, always.
Tell us what you'd need →We measure risk, not savings. Anyone selling you an ROI multiple computed it from a model, not from your claims. When the outcomes exist, we'll show them.
If you'd rather know what's coming, we should talk.
ConnectWhether that's a workforce you're already paying claims for, a book of business you'd like to differentiate, or just curiosity about the measurement.
Prefer email? hello@hex.health. We read everything and reply to anything real.
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Back to the siteHex is built for health plans and the people who run them. An individual version is coming — measured the same way, without an employer in between.
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Please don't include medical details. We don't need them yet, and we'd rather not hold them.