Health intelligence.

Your data.
Your context.
Your decision.

Me. reads and displays your Apple Health data, adds the context only you can provide, and compiles a structured output ready for your GP, your coach, or any AI to reason from.

Coming to iOS June 2026 See how it works →
Video coming soon
The gap

Your data is everywhere.
Your health picture is nowhere.

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.

How it works

Three steps. One picture.

01
01 · Data in

If it talks to Apple Health, Me. reads it.

Apple Watch, Oura Ring, Whoop, Garmin, Fitbit, Withings, CGMs, blood pressure monitors, and hundreds more. One permission. Everything.

02
02 · Context added

30 seconds a day. The layer that changes everything.

A five-point daily check-in. A freeform note. The details no device can capture: how you felt, what changed, what you noticed. This is the data that makes the rest of it useful.

03
03 · Compiled out

Ready for your GP, your coach, or any AI.

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.

Use cases

Your data. Your questions.

Me. does not decide what you do with your health data. It makes sure you can do anything with it.

The athlete

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.

Try asking:
"My legs have felt heavy for two weeks but my HRV looks fine on paper. Look at my training load, sleep depth, and recovery data together and suggest some options for how I approach this week. Once we agree on the right approach, give me an updated training plan I can add back into Me."
The curious

Ask the questions your apps never answer.

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.

Try asking:
"I have low energy days roughly once a week and I cannot predict them. Look across my data in the 24 hours before my worst days, identify any pattern, and provide some recommendations on what is worth a closer look."
Managing your health

Walk into every appointment prepared.

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.

Try asking:
"Act as a medical secretary preparing a patient briefing. My energy has dropped since I changed medication three weeks ago. Compile everything from that period into a structured summary my GP can read in two minutes and flag anything that looks outside my normal range."
The longevity thinker

Conscious decisions, compounding over time.

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.

Try asking:
"I started going to bed an hour earlier six weeks ago. Act as a longevity researcher and compare my sleep quality and HRV before and after. Give me an assessment of whether it has made a measurable difference and what has not shifted yet."
The everyday person

Your data is already there,
now you can actually use it.

You have been wearing a watch and carrying a phone for years. Me. gives all of that data somewhere to go.

Try asking:
"I have never really looked at this data before. Tell me what stands out most from the last 30 days and provide some suggestions on what might be worth a closer look."
The carer

Managing health together.

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.

Try asking:
"My mother has an appointment with her specialist next week. Help compile the last 60 days of her data into a clear summary she can take in, and flag anything that has shifted since her last visit."
Works with everything

One permission. Every device you already use.

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.

Wearables Apple WatchOura RingWhoopGarminFitbit Health devices Blood pressure monitorsDigital scalesDexcom CGMAbbott Libre Fitness and training StravaMyFitnessPalNike Run ClubHevy Sleep AutoSleepSleep CyclePillowSleep++
+ hundreds more

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.

Privacy architecture

No account. You control the output. Stored your way.

No account, no server

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.

You control the output

Data only moves when you compile and choose where it goes. Me. earns through the app, not through your data.

Your data, your storage

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.

Free and Pro

Start for free. Upgrade when you need more.

Free

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.

Coming to iOS June 2026
Pro

Full history compilation, unlimited compiles, and profile change history. Everything in the free tier, plus more.

Try Pro free for 7 days
Coming to iOS June 2026
Case studies

What becomes visible when data and context live together.

Real user data. Real patterns. The kind of reading that only becomes possible when biomarkers, annotations, and daily context are compiled in one place.

Case Study 01

Three crashes. Same signal. Three different causes.

HRV detects the stress. Annotations explain it. The difference is in what you do next.
~6 min read
Read the case study →
Case Study 02

The body keeps score of your life, not just your training.

431 nights of one person's sleep data. The biggest lever on deep sleep was not how hard they trained.
~8 min read
Read the case study →
Case Study 03

The plan that knew who it was for.

A Hyrox block ends. A half marathon target takes shape. What happens when the AI already knows your constraints before you ask.
~7 min read
Read the case study →
View all case studies →