Eteia
Eteia transforms fragmented health data—from wearables, biomarkers, medical records, and lifestyle inputs—into continuous, individualized health intelligence. The platform builds longitudinal health profiles that detect risk patterns and interdependencies between physiological systems, with a female-aware design that reads hormonal cycles, perimenopause, and menopause as continuous signals. It serves individuals, clinics, and insurers seeking pre-diagnostic insights and prevention opportunities.
- Healthcare Technology
- Digital Health
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Healthcare captures isolated moments—an appointment, a blood test, a diagnosis—and compares them against population averages, while the individual's continuous health trajectory remains unseen. Hormones, metabolism, recovery, environment, and behavior continuously interact to create a unique biological baseline that evolves daily, yet this longitudinal signal is lost between episodic clinical encounters.
Solution
Eteia connects wearables, biomarkers, medical records, symptoms, medications, family history, and lifestyle data to establish an individualized biological baseline, replacing snapshots and population averages with pre-diagnostic health intelligence. The platform assembles longitudinal health profiles that evolve over time, detects risk patterns only visible across temporal data, and surfaces interdependencies between physiological systems such as sleep, metabolism, stress, and hormones. It is designed female-aware by design, reading cyclical rhythms, perimenopause transitions, and menopause as continuous signals rather than discrete events. Eteia provides a unified intelligence layer that makes patterns, changes, and prevention opportunities visible to individuals, clinicians, and insurers before a moment becomes a diagnosis.
Target Audience
Primary customers are individual consumers seeking connected health understanding, clinics and healthcare providers needing longitudinal patient profiling, and insurers supporting proactive population health and personalized prevention pathways.
Features
- Longitudinal health profiling that assembles a single, evolving view of an individual across time rather than at a single point
- Risk pattern detection that surfaces patterns only visible over time, enabling early intervention while action is still possible
- Interdependency intelligence that makes connections between systems legible, such as how sleep affects metabolism or how stress affects hormones
- Female-aware health intelligence covering hormonal health, perimenopause, menopause, thyroid, metabolic, and cardiovascular signals
- Integration of diverse data sources including wearables, biomarkers, ePA medical records, medications, supplements, family history, lifestyle, and clinical systems
- Prevention intelligence that identifies opportunities to intervene before a condition becomes a formal diagnosis