Train with the full picture.
You have targets and you are already tracking. Me. compiles your training load, recovery data, and daily notes into a single structured output your coach can actually work from.
The best health record you will ever have is already yours, scattered across devices, accounts and records.
Me. is where it comes together: everything Apple Health holds, plus the conditions, medications, training context and preferences you add. One record, ready for your GP, your coach, any AI, or a tool that doesn't exist yet.
You are generating more health data than any generation before you. Sleep, heart rate, HRV, blood oxygen, activity, menstrual health, even time in daylight. It accumulates quietly in Apple Health, read by the device that collected it, used by no one.
The data is not the problem. What is missing is structure. Context. A way to bring it together so it can actually be used: by a GP who needs the full picture, by a coach who needs the numbers, by an AI that can reason across all of it.
That is the gap Me. closes.
Apple Watch, Oura Ring, Whoop, Garmin, Fitbit, Withings, CGMs, blood pressure monitors, and hundreds more. One permission. Everything.
Ten profile sections, from conditions and medications to a doctrine layer for how you want an AI to respond. Your training plan sits alongside. A check-in takes 15 seconds.
Choose a time range. Select what to include. Compile. The output is yours to take wherever it needs to go: your GP, your coach, a specialist, or straight into a conversation with any AI.
Me. does not decide what you do with your health data. It makes sure you can do anything with it.
You have targets and you are already tracking. Me. compiles your training load, recovery data, and daily notes into a single structured output your coach can actually work from.
You have years of health data and no way to interrogate it. Me. compiles everything into a structured output you can drop into any AI and start asking real questions.
Living with a condition means a lot of appointments and a lot of gaps between them. Me. builds a continuous, annotated record so every conversation with your GP or specialist starts from the full picture.
Nothing is wrong. You are paying attention. Me. builds a record of your biometrics and daily context that gets more useful the longer you keep it.
You have been wearing a watch and carrying a phone for years. Me. gives all of that data somewhere to go.
Me. gives the people you support a way to build and own their health record. When the next appointment arrives, the full picture is already compiled, annotated, and ready to use together.
Me. reads from Apple Health. That single connection reaches every device and app that writes there: wearables, health monitors, fitness platforms, sleep trackers. There are hundreds of them. If yours is one, you are already set up.
Some devices need a bridge app to write all their data to Apple Health.
If something's missing, apps like Health Sync and HRV Sync can fill the gap.
They're separate apps, not part of Me.
Me. works without signing up. No email, no profile, no identity. Everything stays on your iPhone. There is no Me. server and your data is never sold.
Data moves when you compile it and not before. There is no standing connection and nothing has continuous access. You choose the range, the contents, and where it goes, every time.
Everything stays on your device. If you choose to back up via iCloud, your Me. data is included. Your Apple account, your encryption, your call.
A connector reads what is in Apple Health. It cannot read your medications, your test results, your training plan, or the doctrine layer you wrote, because those live in Me.
Nothing is plugged into anything. You compile what you choose, when you choose, and take it to whichever AI you are using this year.
Everything you need to start. Read your Apple Health data, build your profile and context, and compile the last 7 days, up to 5 times a month.
Available now on iOSFull history compilation, unlimited compiles, and profile change history. Everything in the free tier, plus more.
Real user data. Real patterns. The kind of reading that only becomes possible when biomarkers, annotations, and daily context are compiled in one place.