BioAgeOS provides a calibration infrastructure layer for epigenetic clocks, correcting ancestry and pregnancy-related biases that skew biological age predictions. Its pre-clock API integrates with major clock platforms like Horvath, GrimAge, and PhenoAge to ensure accurate results across diverse populations. The platform addresses a clinical equity gap affecting over 658 million individuals from underrepresented groups.
Funding
Funding not disclosed
Founders
Product
Problem
Epigenetic clocks used in clinical diagnostics are trained almost exclusively on European, non-pregnant populations, producing systematically biased biological age predictions for billions of people. Non-European ancestries receive skewed results that distort clinical decisions, while pregnancy-related methylation changes can create dangerously misleading age estimates. No validated calibration tools exist for diverse populations, creating a clinical equity crisis.
Solution
BioAgeOS builds calibration infrastructure that corrects epigenetic clocks before results reach patients, clinicians, or consumers. The company offers a single API layer compatible with all major clock platforms, including Horvath, GrimAge, and PhenoAge, that applies population-stratified calibration for underrepresented ancestry groups worldwide. The platform also provides trimester-aware gestational correction that eliminates up to 5.3 years of biological age bias across pregnancy stages. By operating as a preprocessing layer, BioAgeOS ensures every clock produces accurate, unbiased results across all ancestries and physiological states, making fairness an integral part of the infrastructure itself.
Target Audience
Primary customers are clinical diagnostics companies, direct-to-consumer epigenetic testing providers, and research institutions that use epigenetic clocks and need accurate, unbiased biological age predictions across diverse patient populations.
Features
- Pre-clock API preprocessing layer compatible with Horvath, GrimAge, PhenoAge, and emerging clock architectures
- Population-stratified ancestry correction for underrepresented groups worldwide
- Trimester-aware gestational calibration eliminating up to 5.3 years of biological age bias
- Single integration point that corrects clocks before they reach patients, clinicians, or consumers
- Infrastructure-level design that works across all major clock platforms without requiring clock retraining