BIOAGE OS

The Calibration
Layer for
Epigenetic Clocks

The Calibration Layer for Epigenetic Clocks

THE PROBLEM

Epigenetic clocks are broken for most of the world.

Major clocks used in clinical diagnostics are trained almost exclusively on European, non-pregnant populations, producing biased results for billions.

~4-5

Years of bias against people of colour

Non-European ancestries receive systematically skewed biological age predictions, distorting clinical decisions globally.

1.6-5.3

Years of bias during pregnancy

Pregnancy fundamentally alters methylation patterns. Uncalibrated clocks produce dangerously misleading results.

0

Validated calibration tools exist today for diverse populations.

With 658M+ individuals from underrepresented groups, this is a clinical equity crisis and an open market.

THE MISSION & VISION

Calibrate Epigenetic Clocks, for Everyone.

We build calibration infrastructure that ensures every clock produces accurate, unbiased results across all the ancestries and physiological states.

Biological Age as a Universal Health Metric.

A world where epigenetic age reflects the true biology of every patient, not just the easiest data to collect. Fairness built into the infrastructure itself.

"Precision medicine can only deliver on its promise when the science underneath it reflects human diversity in full."

Zehra Azim, Founder

THE SOLUTION

Calibration at the
Infrastructure Level

BioAgeOS corrects epigenetic clocks before they reach patients, clinicians, or consumers, via a single API layer compatible with all major clock platforms.

Ancestry Correction

Population-stratified calibration for individuals across all underrepresented ancestry groups worldwide.

Gestational Correction

Trimester-aware calibration that eliminates up to 5.3 years of biological age bias across pregnancy stages.

Pre-Clock API

A preprocessing layer compatible with Horvath, GrimAge, PhenoAge, and all emerging clock architectures.

FOUNDER

Zehra Azim

Founder & Lead Scientist

Zehra Azim is a DPhil researcher in Pharmacology at the University of Oxford and Founder & Lead Scientist of BioAgeOS. With a research background spanning Oxford, UCL, Imperial, and Queen Mary University of London, she brings deep expertise across immunology, digital health, and regulated laboratory research. A UK Home Office Personal Licence holder, she has presented at international conferences and received the Best Presentation Prize at the Oxford Personalised Medicine Symposium 2026. At BioAgeOS, she leads across scientific and business domains to build more inclusive precision medicine.