Longevity InTime utilizes AI and computer vision to analyze health data from various sources, including wearables and lab tests, to predict the likelihood of severe diseases. By employing proprietary algorithms, the platform provides personalized health recommendations aimed at early disease prevention and improved health outcomes.
Funding
$100K 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
Individuals lack accessible methods for early detection and prevention of severe diseases. Existing health monitoring solutions often fail to provide personalized, actionable insights derived from comprehensive biodata analysis.
Solution
Longevity InTime offers an AI-powered platform that analyzes health data from wearables, lab tests, and manual inputs to predict the likelihood of severe diseases. The platform employs proprietary algorithms trained with real-world data to provide personalized health recommendations. These suggestions are continuously recalculated with each new update to the user's BioBank, offering tailored guidance on disease prevention and health improvement. The system stores health data in a secure, anonymized, and encrypted BioBank, allowing users to share specific data with their doctors.
Target Audience
The primary target audience includes individuals interested in proactive health management, early disease detection, and personalized health recommendations, as well as healthcare professionals seeking advanced diagnostic support tools.
Features
- AI-driven analysis of biodata from wearables, lab tests, and manual inputs
- Proprietary prediction algorithms trained with real-world data for personalized health insights
- Secure BioBank for anonymized and encrypted storage of health data
- Continuous recalculation of health suggestions with each new data update
- Crypto rewards program for users who contribute anonymized data