Unit of analysis
- Apple Health
- Single metric vs personal trend
- Bevel
- Daily composite score
- Sam
- Multivariate trajectory across days
Comparison
Apple Health Trends tell you a number is off. Sam reads the pattern across HRV, sleep, and respiratory - and flags the drift before it becomes a symptom.
What Apple Health does well
Apple Health Trends compare your recent 90-day average against your 365-day average for each metric - resting heart rate, walking heart rate, VO₂ max, sleep duration, and others. When a metric drifts materially from its own history, Apple flags it.
That's real personalization, and it's free on every iPhone. So the honest framing isn't "Sam knows your baseline, Apple Health doesn't." It's narrower than that - and the difference matters more than the word "baseline" suggests.
Where Sam goes further
Apple Health Trends evaluate metrics independently - HRV against its own history, sleep against its own history, respiratory rate against its own. Sam is designed to look at HRV, sleep, and respiratory together, over time. The question isn't "is this metric low today" but "is this combination of signals moving in a direction that, in your history, has preceded a real change."
Apple Health Trends are statistical: a metric is flagged when it's far enough from its own recent average. Sam is built to do something different - recognize multivariate trajectories that historically resolved into something. That's a different kind of claim than "above or below average," and it's the part a threshold engine can't replicate by adding another z-score.
A factual comparison of how each product reads your data.
| Dimension | Apple Health | Bevel | Sam |
|---|---|---|---|
| Unit of analysis | Single metric vs personal trend | Daily composite score | Multivariate trajectory across days |
| Baseline | 90-day vs 365-day per metric | Weighted multi-signal personal baseline | Personal pattern across HRV, sleep, respiratory |
| Detection method | Statistical thresholds | Weighted threshold composite | Learned anomaly detection |
| Signals combined together | No (per-metric trends) | Yes (composite score) | Yes - and over time |
| Time horizon | Day-level | Day-level snapshot | Multi-month pattern |
| Notifications when something drifts | Per-metric trend alerts (opt-in) | Score change | Heads-up notifications keyed to the pattern |
| Platform | iOS (built-in) | iOS app | iOS app (Apple Watch) |
| Data residency | Apple servers (US) | US-based; no stated EU residency | EU, GDPR-native |
| Price | Free | Freemium (Pro $14.99/mo or $99.99/yr) | Free |
| Guided programs (sleep, stress, movement) | No | Limited | Yes |
Bevel pricing and feature scope reflect the App Store listing and bevel.health as of May 2026. Apple Health Trends behavior is documented by Apple. Competitor products may have changed since this date.
The short version
A trend chart sees one bad night. Sam sees the four-night drift that one bad night is hiding.
Two beers and a short sleep look identical to Apple Health Trends and to the early signature of an infection - both lower HRV, both poorer sleep. Sam is built to tell them apart, because it's reading the shape of the change across days, not the level on one day.
Free. iOS. Built in Europe. Reads from HealthKit - nothing to set up beyond a single permission.