BioAge provides a cloud‑based platform that generates multi‑omics biomarkers to quantify an individual’s biological age and predict health‑span trajectories. The service integrates genomics, transcriptomics, proteomics and metabolomics data with machine‑learning models, delivering calibrated age scores via a HIPAA‑compliant API and web dashboard for use by clinicians and pharmaceutical trial teams to personalize interventions and stratify study cohorts.
Funding
$170M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SIFounders
Product
Problem
Accurately quantifying an individual's biological aging rate remains challenging due to the lack of standardized, high‑resolution biomarkers. Without reliable metrics, clinicians cannot tailor longevity interventions, and pharmaceutical trials struggle to stratify participants based on true aging trajectories. This uncertainty hampers the development and assessment of anti‑aging therapeutics.
Solution
BioAge delivers a platform that generates proprietary, multi‑omics–based biomarkers to measure biological age with clinical precision. By applying advanced machine‑learning models to genomics, transcriptomics, proteomics, and metabolomics data, the system predicts age‑related healthspan decline for each individual. The resulting biomarker panels are validated against longitudinal cohorts, enabling clinicians to prescribe personalized longevity interventions. For drug developers, the platform provides objective stratification criteria to enrich clinical trial populations and monitor therapeutic impact on biological aging. All data processing occurs within a secure, HIPAA‑compliant cloud environment, and results are delivered via an API and web dashboard for seamless integration into existing workflows.
Target Audience
Primary customers are pharmaceutical and biotech companies conducting anti‑aging or age‑related therapeutic trials, as well as clinicians and longevity clinics seeking personalized healthspan management for patients.
Features
- Integrated pipeline that ingests and harmonizes genomics, epigenomics, proteomics, metabolomics, and clinical phenotypes
- Supervised and unsupervised machine‑learning algorithms that output a calibrated biological age score and projected healthspan trajectory
- Validated biomarker panels with demonstrated correlation to mortality, frailty, and disease onset across diverse cohorts
- Longitudinal monitoring tools that track biomarker dynamics over time to assess intervention efficacy
- Secure, HIPAA‑compliant cloud infrastructure with role‑based access controls and end‑to‑end encryption
- RESTful API and customizable web dashboard for real‑time data retrieval, visualization, and integration with EHR or trial management systems
- Automated quality‑control and batch effect correction to ensure reproducibility across laboratories