Your biology is not one number.
It is several layers — read together.
Aevum brings your permanent genome, a curated longevity signature, your current pace of ageing and your clinical biomarkers into a single interpreted report — and keeps reinterpreting it as science and your biology change.
Today you can buy fragments of the picture
Every category on the market answers part of the question. None of them answers it together, unless you can afford a clinic programme.
Blood platforms
Current biomarkers and a blood-derived “biological age”.
No genome. No methylation clock. Nothing inherited.
Epigenetic age tests
A single methylation clock reading.
One signal, with nothing to read it against.
Consumer genome kits
Sequencing, sometimes at depth.
Disease-risk output relabelled as longevity; no current biology.
Premium clinics
Depth, imaging and physician time.
Typically $10,000–25,000 and tied to physical visits.
The result is a customer holding one isolated signal, a shallow DNA readout, a generic age score — or an invoice for a clinic programme. Aevum occupies the space in between.
Four layers, one interpretation
What is permanent, what is changing, and what deserves attention — held in the same frame.
The permanent genome
Sequenced once at clinical depth. Germline predisposition, carrier status and pharmacogenomics — the layer that never has to be repeated.
Inherited longevity biology
Variants associated with exceptional survival and lifespan, each carrying an effect size and a confidence tier rather than a headline claim.
How fast you appear to be ageing
An epigenetic clock from the same blood draw as your biomarkers. Repeatable, which is what makes the direction of travel readable.
Your current biology
Guideline-referenced laboratory values and your health history — later, wearable data — showing what your predispositions are doing right now.
183 longevity variants, honestly graded
Not a disease-risk report renamed “longevity”, and not the two or three famous genes every kit ships.
Each variant in the signature is selected for association with exceptional longevity, survival or parental lifespan — then assessed on evidence strength, effect size, replication across cohorts and relevance to your population.
Effects in longevity genetics are small. We report them that way. Variants sit in confidence tiers; uncertain markers are not forced into a score, and correlated variants are not counted twice.
The purpose is not to predict a date. It is an evidence-graded view of inherited longevity biology.
How the signature is builtSee how a finding is actually presented
One finding at a time: what was measured, how strong the evidence is, what it means, what it does not mean, and what is worth watching.
Inherited tendency toward higher circulating LDL cholesterol
A polygenic pattern across well-replicated lipid loci places this illustrative profile in the upper part of the distribution for genetically influenced LDL-C.
Percentile within the reference population used for this illustration
Lipid levels are likely to sit higher than average for a given lifestyle, so lipid values are worth watching earlier and more regularly than usual.
It is not a diagnosis of hyperlipidaemia or cardiovascular disease, and it does not fix a future outcome. Predisposition describes tendency, not destiny.
Blood layer agrees: measured ApoB sits above the optimal range, so the inherited tendency appears to be expressed today.
Lipid panel including ApoB and Lp(a), reviewed against current guideline thresholds with a clinician.
Hundreds of values become a short, ordered picture
The work is not producing more numbers. It is deciding which few matter, and why.
Where signals agree
An inherited tendency that is visibly expressed in current biomarkers carries far more weight than either signal alone.
Where signals disagree
A favourable genome alongside an unfavourable current measurement is not a contradiction to hide — it points to what is changeable.
Where nothing is happening
Most findings need no action. Saying so clearly is part of the value; a report that flags everything flags nothing.
Where each approach reaches — and stops
A factual comparison of what categories of product typically include.
| Capability | Blood platforms Biomarker panels | Epigenetic age tests Single clock | Consumer WGS kits Sequencing-led | Premium longevity clinics In-person programmes | Aevum Integrated report |
|---|---|---|---|---|---|
| 30× whole genome | |||||
| Longevity-specific genetics | |||||
| True methylation age | |||||
| Clinical blood biomarkers | |||||
| Interpretation across layers | |||||
| Longitudinal reinterpretation | |||||
| Accessible outside a clinic programme |
Included · Partial · Not included. Describes typical scope of each category of product, not the specifications of any individual company, which vary and change.
Sequenced once. Re-read for years.
Your genome does not change. Almost everything used to interpret it does.
New replicated studies, a repeated methylation measurement, a fresh biomarker panel, later your wearable data — each addition sharpens the reading of data you already gave once. Aevum is a record that matures, not a PDF that ages.
- 01Baseline
30× genome, longevity signature, methylation age, blood panel — the first integrated read.
- 02Month 12
Repeat blood and methylation. Direction of change becomes the signal.
- 03Year 2
Signature re-scored against newly replicated evidence. Retired markers removed.
- 04Ongoing
Each new layer re-reads the genome you already sequenced.
AI can organise and explain evidence. It does not create it.
Every interpretation is linked to published evidence, graded for confidence, version-controlled and explicit about its limits.
Each statement traces to the studies behind it.
Strength of evidence is shown, never implied.
You can see which interpretation produced a finding.
What the data cannot tell you is written down.
Be among the first to see your complete picture
The waiting list opens access in small first groups, onboarded personally, whose reports shape how Aevum presents evidence. No purchase today — tell us where you are starting from.