See the pattern behind your worst weeks
Liora is the menopause and perimenopause symptom tracker that connects a 20-second daily check-in to your own sleep and activity data from Apple Health, so why a week was hard becomes visible, not just that it was. No judgment. No diagnosis. Just your patterns, in plain language.
Requires iPhone with iOS 17 or later · Health data stays on your device
“I don’t know why some weeks are so much worse.”
That sentence is what Liora was built for, because most tools stop just short of answering it.
Logs without answers
Most symptom apps can tell you that you logged a rough week. Very few can show you what that week had in common with the other rough ones.
Data left on the table
Your sleep, heart-rate variability, and activity already live in Apple Health, but most menopause apps never look at them, so the context behind your symptoms goes unused.
“Every app assumes I have periods”
Surgical and induced menopause are usually an afterthought: a settings toggle at best. If you’ve quit an app because it insisted you must have a cycle, you’ve felt this one.
Log in seconds. Understand on Sundays.
A daily check-in that takes 20 seconds
Three taps: pick a symptom, rate it 1–5, done. Add a note if you want, skip it if you don’t. It works offline, syncs when you’re back, and never guilt-trips you about a missed day.
Because the habit only sticks if it costs you nothing.
Liora reads your Apple Health data: read-only, always
With your permission, Liora reads daily summaries of five things from Apple Health: sleep, heart-rate variability, steps, active energy, and weight. Read-only, never written back, and you can revoke access anytime in iOS Settings.
Wearing an Apple Watch? Your data is already doing half the logging for you.
Every Sunday: your week, explained in plain language
Liora’s own code computes the statistics: which symptoms clustered with short sleep, low activity, and so on. AI only phrases those findings in plain language; it can’t add, remove, or change them. “Your data shows a pattern of…” Your own numbers, finally telling a story you can use.
Under 3 logged days in a week? Liora says “not enough data” instead of inventing a pattern.
Real evidence, not guesswork
Most trackers simply plot colorful line charts and leave you to guess what caused what. Liora tests your own logged symptoms against your personal Apple Health biometrics to uncover statistical associations.
Every correlation card displays transparent comparative evidence and confidence ratings (Strong, Moderate, or Mild). If a week has fewer than 3 logged days, Liora honestly reports insufficient data rather than fabricating a pattern to look smart.
Hot flashes ran hotter after shorter sleep
On nights you slept under 6 hours, your next-day hot flash severity averaged 4.1, compared with 2.6 after longer sleep. These are patterns in your own data: worth watching, not conclusions.
Illustrative example, styled exactly as it appears in the app. Your insights are built only from what you actually logged.
Explore how Liora connects your symptoms to your biometrics
Select a symptom below to see how a real member’s 20-second logs connect with Apple Health biometrics to uncover actionable clarity.
Hot flashes ran hotter after nights under 6 hours of sleep
On mornings following under 6 hours of sleep, your reported hot flash intensity averaged 4.2 compared to 1.9 after restful nights. A strong recurring pattern across 18 logged days.
“We noticed my hot flashes surge in severity whenever nighttime sleep drops below 6 hours. Could stabilizing sleep awakenings help temper daytime vasomotor surges?”
Built for every path through menopause
Liora's very first question, “Where are you right now?”, treats surgical menopause, induced menopause, and no-period paths as first-class answers, never an edge case. Your stage is self-declared, always editable, and nothing in Liora assumes you have a cycle.
- PerimenopauseCycles still happening, but things are shifting
- MenopauseNo period for 12 months or more
- Surgical menopauseAfter a hysterectomy or oophorectomy
- Induced menopauseFrom treatment such as chemotherapy or medication
- I'm not sureCompletely valid. You can change this anytime
Apple Health access is read-only. Liora never writes anything back, and you can revoke it anytime in iOS Settings.
There are no third-party ads or advertising trackers in Liora. We never sell your data or share it with advertisers.
Settings › "Export my data" hands you everything. Settings › "Delete my account" removes it all permanently.
Deterministic models, not guesswork
Liora is built on biostatistical determinism and clinical consensus frameworks, never black-box hallucinated predictions.
STRAW+10 clinical framework
We stage perimenopause using the Stages of Reproductive Aging Workshop (STRAW+10) gold standard. Our dual-track engine evaluates 7+ day cycle variability as well as non-bleeding, surgical, and ablation backgrounds.
Pure deterministic computation
All symptom clusters and biometrics (sleep duration, resting heart rate, HRV) are computed in pure TypeScript code. Generative AI only phrases verified mathematical findings; it cannot fabricate, alter, or inflate patterns.
Clinical consultation brief
Standard 12-minute doctor visits require objective data. Liora translates retrospective logs and biometric shifts into an exportable single-page brief ready for discussion with your OB-GYN or endocrinologist.
Liora describes patterns in your own data. It never diagnoses, prescribes, or replaces care from a qualified clinician. It is not a medical device, and it isn't a substitute for medical care. For medical questions, please talk to a clinician.
Start seeing your patterns
Download Liora and start your 7-day free trial. The exact price and renewal date are shown before it begins.
Download on the App StoreFrom $8.99/month or $59.99/year · Cancel anytime in iOS Settings · Full pricing