Your wearable thinks you're a 25-year-old male athlete.
You're not.

Peri translates your Apple Watch, WHOOP, or Oura data through perimenopause-aware algorithms validated by 21 years of SWAN cohort research (n=3,000+ women, ages 42-52).

Generic Wearable

88%

Recovery Score

Based on 4.2h sleep

Peri Interpretation

62%

Sleep Efficiency

77 min WASO, fragmented

Why your recovery score lies to you

"88% recovered" after sleeping 4.2 hours

  • Your wearable counts motionless wake time as sleep
  • It ignores the 77 minutes you spent awake between hot flashes
  • Peri sees fragmentation, not duration

"Low HRV = stressed" when you're just perimenopausal

  • HRV reaches only 47% of baseline by age 50
  • That's structural estrogen decline, not stress
  • Peri scores against YOUR baseline, not a 30-year-old's

"Rest day recommended" when you feel fine

  • Generic algorithms penalize age-related changes
  • They don't distinguish VMS-induced awakenings from insomnia
  • Peri knows when your body is recovering versus when it's compensating

Three scores that actually make sense

SleepScore

  • Prioritizes fragmentation over duration
  • Each hour of wake-after-sleep-onset elevates cortisol by 1.23 μg/dL
  • We measure what matters: efficiency below 80%, not hours in bed

RestorationScore

  • HRV deviation from YOUR baseline (not population norms)
  • VMS-aware modifiers that soften penalties when hot flashes are logged
  • Subjective overrides when your body knows better than your biometrics

ActivityScore

Coming Soon

  • Recovery windows extended 50% for women 40-55
  • Strength training frequency weighted higher than cardio volume
  • Zone 2 vs. Zone 3 guidance that respects cortisol elevation risk

Built on SWAN, not startups

Evidence-Based Algorithms

Every scoring threshold backed by peer-reviewed research:

  • Sleep fragmentation prioritized over duration (JCEM 2023 findings: each hour WASO → +1.23 μg/dL bedtime cortisol)
  • HRV scored against personal baseline, not population norms (women lose 53% of HRV between ages 20-60)
  • VMS-aware modifiers recognize that hot-flash-induced awakenings are physiological, not behavioral insomnia

Beta participants receive complete research documentation and algorithm white paper.

No diagnosis, just data

Wellness tool, not medical device

  • Non-diagnostic language throughout
  • Encourages provider conversations when patterns are concerning

Privacy-first architecture

Your data stays yours

  • HealthKit data never sold or used for advertising
  • Zero-retention AI insights (Claude API)
  • Full deletion within 30 days

Be part of the beta

Peri launches Spring 2026 (iOS first, Android following). We are looking for 100 women ages 40-55 who:

  • Already wear Apple Watch, WHOOP, Oura, or Garmin
  • Experience fragmented sleep, hot flashes, or unexplained fatigue
  • Want their data to reflect their actual physiology

Early access includes:

  • Free lifetime access to core features
  • Direct input on algorithm refinements
  • Private Slack community with other beta users
  • First look at ActivityScore V2 and AI insights integration

Frequently Asked Questions

Will this work with my existing wearable?

How is this evidence-based?

How is this different from Oura's Cycle Insights?

Do I need to log symptoms every day?

Will you tell me I'm in perimenopause?

When does this launch?