AI that works for Fitness
A member's watch, ring and app each know a piece of them, and none of it reaches the person who could act on it. The data exists. Almost nobody is using it.
Live activity coach
Simulated demo data- Move60%
- Exercise84%
- Stand76%
These rings are looping on simulated numbers, since no device is connected. Enter an age and ask the coach for a real, Claude-generated read on today's numbers, the same way it would read yours once your wearable data is actually connected.
Are these Fitness challenges familiar?
Wearable data lives in five different apps
A member's watch, ring and gym check-ins each know a piece of the picture, and none of them talk to each other or to you. Nobody ever assembles it into one useful view.
A coach can't watch forty people at once
A trainer notices a member sliding when they complain, not when the numbers say it started three weeks earlier. The data to catch it early already exists somewhere.
Generic programs ignore what is actually happening
The same plan goes out to a 24-year-old and a 55-year-old member because building something bespoke by hand for each person does not scale, and it drifts out of relevance the moment their life changes.
What we would look at first.
Usually the wearable data itself: pulling what members already generate into one place a coach can see, since every other improvement here depends on that existing first.
One record per member, not five
Activity, sleep and check-in data from whatever devices your members already wear, unified into a single profile a coach can actually read.
Data FoundationsCoaching that notices before you do
Recovery dips, missed sessions and slipping streaks surfaced automatically, so outreach happens while it still changes the outcome instead of after the cancellation.
Process AutomationPrograms built for the person in front of you
Recommendations generated from someone's own age, activity and trend data rather than a template, with the reasoning visible enough for a coach to sign off on it.
Custom Tools & Agents