Bring the fragments together
Health data from the Apple Health app, wearable signals, recordings, symptoms, uploads, and notes become more useful when they live in one private health timeline.
Approach
How OfRoot turns health changes into a clearer story.
The product keeps Health app data, wearable signals, symptoms, and context together so a recent change is easier to understand before the next doctor visit.
The goal is not more charts. The goal is a better account of what changed, when it changed, what data is available, and what was happening around it.
System flow
Four moves, one clearer timeline.
This is the product logic behind the public promise: connect health signals, add context, understand change, and prepare the visit.
Keep context close
Stress, travel, sleep, activity, symptoms, and habits help explain why a signal may have changed.
Compare against your normal
OfRoot is organized around changes from your own history, not a generic average that ignores your baseline.
Carry the story forward
The output is a calmer doctor-ready summary that helps you prepare better questions before care.
Boundaries
Designed to stay useful and calm.
Health language has to be careful. OfRoot is built around clarity, visible data coverage, and preparation for care.
Patterns, not conclusions
OfRoot uses language around trends, symptoms, changes, data coverage, and context. It does not make medical conclusions.
Limited data is visible
Coverage and limited-data states matter because trust depends on showing when the record is strong or incomplete.
The handoff matters
The product is designed to make the next care conversation clearer, not to replace that conversation.
Next
Start with your private timeline.
OfRoot is focused on the smallest useful loop: real health signals, lived context, and a clearer summary before care.