Pomehealth offers a health platform that integrates wearable data, training load, sleep metrics, and lab results to calculate a user’s biological age and highlight health trends. Users can order lab work, upload results from providers like Labcorp and Quest, and receive AI‑driven analysis that links bloodwork with activity, sleep, and nutrition to identify patterns and early‑warning signals. The app also supports workout planning, symptom tracking, and personalized health insights.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals seeking to optimize fitness and health often have fragmented data from wearables, training logs, and lab results, making it difficult to see how exercise, sleep, and biomarkers interact. Without integrated analysis, early signs of health issues may go unnoticed, and personalized training adjustments are limited.
Solution
PomeHealth offers a unified platform that aggregates wearable metrics, workout logs, symptom notes, and laboratory results into a single dashboard. The system calculates a user’s biological age and provides AI‑driven insights that correlate bloodwork, sleep quality, activity levels, and nutrition. Users can set training goals, plan workouts, and receive recommendations on load management to avoid overreaching. The app also allows direct ordering of lab tests via a premium membership and supports uploading results from major providers such as Labcorp and Quest. By visualizing trends over time, the platform helps users detect potential health concerns early and make data‑informed decisions to improve recovery and long‑term wellness.
Target Audience
The primary users are fitness‑focused individuals and athletes who track performance with wearables and want deeper health insights, as well as health‑conscious consumers interested in proactive monitoring of biomarkers and recovery.
Features
- Automatic syncing with popular wearables (Whoop, Garmin, Oura, Eight Sleep, etc.) for continuous activity and sleep tracking
- Integrated calendar view that combines training load, short‑term and long‑term metrics, and sleep scores
- AI analysis that merges bloodwork with lifestyle data to calculate biological age and highlight emerging health patterns
- Workout planning tools with goal setting, mileage tracking, and personalized load recommendations
- Symptom and health note logging (e.g., sleep quality, environmental factors) to contextualize performance data
- In‑app lab test ordering for premium members and easy upload of external lab results
- Visual dashboards that display trends, recommended training loads, and alerts for potential overreaching or declining sleep quality