Humanity develops a healthcare application that utilizes AI algorithms to monitor aging biomarkers, including sleep quality, activity levels, and nutritional habits, to calculate users' biological age. The app provides actionable insights to help users slow their aging process and reduce disease risk through personalized lifestyle adjustments.
Funding
$12.1M 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.
Founders
Product
Problem
Many individuals lack a clear understanding of how their daily habits and lifestyle choices impact their rate of aging and overall healthspan. This lack of awareness makes it difficult to proactively manage their health and reduce the risk of age-related diseases.
Solution
Humanity offers a consumer-facing mobile application that empowers users to monitor and influence their rate of aging. By integrating data from wearable devices, user-reported lifestyle information, and optionally, blood and genetic markers, the app calculates a personalized "Humanity Score" and rate of aging. The application employs machine learning algorithms to analyze user data and identify correlations between specific actions and changes in the rate of aging. Users receive actionable insights and personalized recommendations, derived from aggregated data of similar users, to optimize their healthspan. This feedback loop enables individuals to make informed decisions about their nutrition, exercise, mental wellbeing, and recovery, with the goal of slowing down or even reversing their biological age.
Target Audience
The primary target audience consists of health-conscious individuals who are interested in proactively managing their aging process and reducing their risk of age-related diseases through personalized lifestyle adjustments.
Features
- Integration with wearable devices (e.g., Apple Watch, Oura Ring, Mi Band) to track activity levels, sleep patterns, and heart rate
- Manual logging of nutritional intake, workouts, meditation sessions, and mood
- Calculation of a daily "Humanity Score" reflecting the impact of daily actions on aging
- Predictive algorithms that measure the rate of aging based on digital, blood, and epigenetic markers
- Personalized recommendations based on machine learning analysis of user data and trends observed in similar users
- Secure data encryption and privacy-preserving AI to protect user information
- Optional blood marker and genetic marker tracking for increased accuracy