Vidaya
Vidaya is an AI-powered health intelligence platform that unifies data from wearables, lab results, DNA tests, and DEXA scans into a single longitudinal health record. The platform's AI engine decodes biomarkers, sleep, activity, and metabolic signals to surface patterns and deliver personalized healthspan recommendations. It supports up to five simultaneous device connections—including Apple Watch, Oura, Whoop, Garmin, and continuous glucose monitors—with AES-256 encryption and HIPAA-compliant safeguards.
- Digital Health
- Healthcare Technology
- Artificial Intelligence
- Data & Analytics
- Wellness & Fitness Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Consumers track their health across multiple disconnected sources—wearables, blood panels, DNA tests, and body scans—leaving fragmented data that is difficult to interpret. Without a unified view, individuals miss meaningful patterns in their biomarkers and lifestyle metrics, and generic health advice fails to translate into measurable improvements in longevity or healthspan.
Solution
Vidaya provides an AI-powered health intelligence platform that aggregates data from wearables, labs, DNA, and DEXA scans into a single longitudinal record. Its AI engine decodes biomarkers, sleep, activity, and metabolic signals to surface meaningful patterns and trends that would otherwise be invisible. The system translates these insights into personalized, actionable recommendations designed to improve healthspan. Users can link up to five devices—including Apple Watch, Oura, Whoop, Garmin, Fitbit, and continuous glucose monitors—and upload lab results directly into the app. All data is encrypted end-to-end and protected with HIPAA-compliant safeguards, ensuring user ownership and privacy.
Target Audience
Primary users are health-conscious professionals who actively track their health metrics through wearables and lab testing and seek a unified, AI-driven platform to optimize their healthspan.
Features
- Connects to Apple Watch, Oura, Whoop, Garmin, Fitbit, Google Fit, Polar, Withings, Dexcom, and Levels CGM devices (up to five linked simultaneously)
- AI-driven analysis across biomarkers, sleep, activity, and metabolic data to identify health patterns
- Generates personalized healthspan improvement recommendations based on longitudinal health data
- VAI Score—a 0-100 data quality score indicating how much the AI can trust the user's health data and where gaps exist
- AES-256 encryption for all data at rest and in transit, with HIPAA-compliant administrative, physical, and technical safeguards
- Full user ownership of data; never used to train AI models, covered by a HIPAA Business Associate Agreement with Google
- Supports uploads of lab results, DNA data, and DEXA scans for comprehensive health integration