Multi-omic longevity engine

Your biology is an unmonitored state machine. We built the integration layer.

Genome, bloodwork, and wearables, synchronized into one live Biological Twin that reverses cellular aging on autopilot.

Levine PhenoAge Klemera-Doubal ancestry-aware biology

The problem

Your health data is fractured across three isolated silos.

01 / Source code, no compiler

DNA

Genetic information can add inherited context when available, but it does not measure your current health or how quickly you are aging.

02 / A log that arrives late

Lab Biomarkers

Lab results are snapshots. Aevum helps organize the measurements you already have and compare them over time when you add follow-up results.

03 / Signal without a cause

Wearables

Wearables can add day-to-day context such as sleep, activity and heart-rate patterns alongside lab results.

The integration layer

Your data, in one place.

Aevum organizes the data you choose to provide, shows which measurements support an interpretation, and helps you track a practical next step over time.

Lab results you provide
Lifestyle answers
Optional genetic findings
Optional wearable summaries
COMPUTATIONAL CORE
Personal health information
Measurements · context · evidence
Patterns and areas to explore
Practical, trackable next steps
A personal view that can evolve
Measured facts Evidence-linked interpretations Visible uncertainty
Read the engineering whitepaper →

The living biological twin

Your information, in context.

Aevum brings together the measurements and context you choose to share, then helps you see what was observed, what may matter, and what you could track next.

YOUR INFORMATION WHAT AEVUM HELPS YOU DO Lab results Optional genetic findings Optional wearable data Lifestyle context Follow-up measurements PERSONAL TWIN A PERSONAL VIEW THAT CAN UPDATE WITH YOUR DATA See the measurements behind a pattern Understand what may matter Explore a practical next step Track what changes over time

YOUR INFORMATION

  • Biomarkers
  • Optional genetic findings
  • Wearables
  • Lifestyle
  • Follow-up measurements

WHAT AEVUM HELPS YOU DO

  • See the measurements behind a pattern
  • Understand what may matter
  • Explore a practical next step
  • Track what changes over time

Closed loop

Understand a pattern. Choose a next step.

01

Map

Start with the lab results and lifestyle context you already have.

02

Add context

Connect a supported wearable if you want day-to-day context.

03

Detect

Review measured patterns with the data and evidence behind them.

04

Deploy

Choose a practical step, then add follow-up data to see what changed.

See the full program →

Grounded in the science

We don't invent biology. We cite it.

Aevum distinguishes measured information from interpretation and hypothesis. Evidence and limitations are shown where available; the product is informational and does not diagnose or prescribe treatment.

MEASUREMENTS

Start with what you have

Add laboratory results and lifestyle context. Wearable and genetic data are optional.

INTERPRETATION

See the supporting data

Personal explanations connect to relevant measurements and make uncertainty visible.

FOLLOW-THROUGH

Track a practical change

Use personal experiments and follow-up information to see what changed, without treating a change as proof of cause.

Read the research →

Research network

Backed by people who have spent careers in the lab.

Our research members are working scientists and clinicians who contribute domain expertise, review methodology, and keep our protocols grounded in what the evidence actually supports.

Carlos Trujillo

Carlos Trujillo

Clinical Geneticist

Medical Genetics Institute

Physician and molecular geneticist with over 18 years across clinical medicine and research genetics. Directed the Molecular Genetics and Cytogenetics Lab at King Fahd Medical Research Center, King Abdulaziz University, one of the Arabian Peninsula's leading biomedical research institutions, overseeing day-to-day operations, clinical genetics workflows, and genetic counseling. His research interests sit at the intersection of cytogenomics, inherited disease risk, and population-level genetic variation. His work is directly relevant to calibrating longevity protocols for non-European ancestries.

Molecular Genetics Cytogenomics Genetic Counseling Clinical Research Cell Culture
Colombia King Fahd Medical Research Center · KAU, Saudi Arabia LinkedIn →
Dr. Garima

Dr. Garima

Clinical Reviewer · Internal Medicine

Guru Gobind Singh Medical College & Hospital, Faridkot

Physician (MBBS, MD General Medicine) and a Gold Medalist in her MD, currently Senior Resident in the Department of General Medicine at Guru Gobind Singh Medical College & Hospital, Faridkot. Her practice spans internal medicine, critical care and emergency medicine, diabetes, hypertension, acute coronary syndrome, thyroid and inflammatory disease, with hands-on ICU, cardiology and bedside-procedure experience (ACLS, echocardiography, ECG and ABG interpretation). Her MD research studied the neutrophil-lymphocyte and platelet-lymphocyte ratios as markers of diabetic nephropathy in type-2 diabetes, the same inflammatory ratios our engine computes. Her clinical and research experience informs the company’s approach to evidence and health communication. Aevum does not claim that every user recommendation has received individual physician review.

Internal Medicine Critical Care Cardiometabolic Risk Inflammatory Markers Internal Medicine
Punjab, India MD General Medicine (Gold Medalist) · Baba Farid University of Health Sciences LinkedIn →

Field notes

The latest longevity research, decoded.

New studies and biohacking claims, read the week they land and written in plain English: what it means, what's hype, and what to do.

11 Jun 2026 · Genetics

Why everything we knew about longevity genes was wrong

9 min read
6 Jun 2026 · Research

Rethinking mitochondrial aging: what 750,000 genomes tell us

11 min read
18 Jun 2026 · Exercise Science

VO2 max: is your endurance predestined, or can you build it?

12 min read

All field notes →

One useful thing about your biology, most weeks.

Research decoded, biomarker explainers, and honest reads on longevity claims. No hype, no selling.

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15 seats · founding cohort

Now onboarding the founding alpha cohort.

Fifteen operators, founders, and investors to stress-test the engine before commercial deployment.

  • Pass-through lab costs only during the pilot
  • Foundational software rates locked in for life
  • Direct protocol input with the founding team
View complete package breakdown →

Apply for founding accessConnects you to a 30-minute intake call

Wearables in use
Primary bottleneck
Apply for Alpha Cohort →

Reviewed within 48 hours. No payment required to apply.

Your information

You choose what to add to Aevum.

Lab results and lifestyle context are enough to get started. Wearable and genetic data are optional. Aevum uses information to provide your account features and does not sell personal health information or use it for targeted advertising. Read the Privacy Policy for details.

Optional sources No health-data resale Encrypted at rest