A preventive healthcare startup needed a single, actionable view of a user's biological age instead of scattered wearable, blood, and lifestyle data. Mindbowser built an AI assessment engine that unifies facial analysis, wearable biometrics, blood reports, and lifestyle inputs into one score, then drives personalized supplement recommendations from it.
Talk to Our TeamA preventive healthcare startup shifting care from reactive treatment to proactive longevity management
Product engineering, AI/ML development, and mobile app development
AI image processing, Apple HealthKit, Fitbit, Garmin, FHIR
Delivered
The unified biological age score and AI-driven recommendations changed how users engaged with the platform and acted on its guidance.
of users actively tracked their health metrics through wearable device integration
higher conversion rate for supplement purchases, driven by AI-powered personalized recommendations
reported security breaches, attributed to end-to-end encryption and multi-factor authentication
Users had no way to see their biological age or health trajectory before symptoms appeared, and the data needed to calculate it lived in incompatible systems.
No platform combined facial analysis, wearable biometrics, lifestyle inputs, and blood reports into a single actionable biological age score.
Stress, lifestyle, and environmental exposure accelerate aging, often undetected until serious health issues have already taken hold.
Apple HealthKit, Fitbit, and Garmin each expose heart rate, blood pressure, and oxygen data through different formats and APIs, blocking a real-time unified view.
Facial images, blood reports, and biometric histories needed full HIPAA-compliant handling as the user base grew.
AI image processing, wearable integrations, and FHIR-based data exchange, secured end to end.
The assessment engine combines four data inputs into one biological age score, refined through adaptive learning as more user data accumulates.
An interactive dashboard displays calendar age against biological age trends, surfacing the factors affecting aging and early risk alerts so users can act before problems emerge.
As adaptive learning refines each user's biological age calculation, the platform generates doctor-reviewed supplement and lifestyle plans. An integrated in-platform store lets users purchase recommended supplements directly, shortening the path from insight to action.
Health metrics are extracted and analyzed automatically from wearables with no manual input required. Users store and track health data in secure profiles protected by cloud-based security policies, end-to-end encryption, and multi-factor authentication.
Talk to us about what this architecture looks like for your product.
Partner with us to design, build, and scale digital solutions that drive better outcomes.
Global Tech Teams LLC, 525 Washington Blvd, Industrious at Newport Tower, Jersey City, NJ 07310, United States.
Let’s discuss your goals, workflows, and next steps in a focused consultation call.
Schedule a Call 
BLOGS 
NEWSROOM 
CASE STUDIES 
WEBINARS 
PODCASTS 
ASSET HUB 
EVENT CALENDAR 
