Bring your data together
Wearable activity, sleep and heart-rate data, plus labs, body composition and a structured health profile.
Centivive turns fragmented health data into a small number of clear, personalized actions for today — helping people improve healthspan without spending their lives managing health.
Prioritized from your recent activity, recovery, health profile and long-term goals.
Wearables, labs, fitness apps and health advice generate more information than most people can use. Centivive is being built to turn that information into a simple answer: what should I do today?
Centivive combines objective health signals with personal context, then prioritizes the few actions most likely to matter now.
Wearable activity, sleep and heart-rate data, plus labs, body composition and a structured health profile.
A structured recommendation engine evaluates fitness, strength, metabolic health, sleep, recovery and prevention — without collapsing everything into one opaque score.
Users receive a small number of prioritized daily actions, with clear rationale, confidence and long-term benefit.
Centivive is designed to preserve where each measurement came from, avoid double counting, and treat clinical measurements differently from wearable estimates.
Apple Health
Prototype data ingestion and normalization are under active development.
Garmin Connect
Cloud integration is planned through the Garmin Connect Developer Program.
Labs & body composition
Designed as future inputs for a broader preventive-health picture.
Health data is accessed only after explicit user authorization, with clear disconnect and deletion paths planned for connected accounts.
Recommendations should show why they were selected, what data influenced them and how confident the system is.
Centivive is being designed as a prevention and behavior-guidance product, not as a replacement for medical diagnosis or treatment.
Centivive is not being built around selling personal health data to advertisers.
The initial product is focused on proving one thing extremely well: can a person’s health data be translated into a daily plan that is useful enough to change behavior?