Biomarker-driven protocols

Know what to do next from the signals you already wear.

Xcergy turns Apple Health, Health Connect, CGM, HRV, sleep, and recovery into a clearer decision for today.

Real-time Biometric Feedback

What changed since yesterday, read the moment it happens.

Your CGM and wearable don't just log numbers. A rough night, a glucose spike, low recovery: your plan reads it and adjusts before you even open the app.

Low HRV or poor sleep trims today's training volume. A post-meal glucose spike shifts your next meal's carbs and timing, before the fatigue catches up with you.

Most fitness trackers stop at steps and sleep scores. Xcergy connects your wearable and CGM to your metabolic health, so day-to-day signals actually change your plan, not just your stats screen.

Always current: Your watch and CGM feed straight into your morning readiness score and today's meal plan.

Apple Watch Ultra & Health ConnectContinuous Glucose MonitoringHRV & Recovery
Xcergy Athlete - Muscular Male in Black Singlet with Apple Watch Ultra and CGM on Arm
Apple Watch Ultra · Live HRV
CGM Stream Active

94 mg/dL · Steady Glucose

Connects with Apple Watch, Garmin, Oura, Whoop, Dexcom, Freestyle Libre, and Android Health Connect.

Connected inputs

The signal stays intact from wrist to protocol.

Connect once through the health store you already use. Xcergy keeps the source, timing, and meaning of each measurement visible.

Apple WatchGarminOuraWhoopCGM

Apple Health and Health Connect

Source layer

Your data follows you across Apple Watch, Garmin, Oura, Whoop, Fitbit, Ultrahuman, and any device that writes to Apple Health or Android Health Connect.

HRV with the right context

No false baseline

Apple Health writes SDNN while many Android sources write RMSSD. Xcergy keeps them distinct instead of comparing unlike measurements.

One day, in context

The useful signal is the one that changes the next move.

A single reading is only a point. Xcergy places it beside sleep, meals, training, and recovery so the protocol responds to a pattern instead of chasing noise.

Tuesday · live protocol context

Signals arrive when they are useful

Synced
07:10

Readiness

HRV 62 ms · sleep 7.1 h

Volume held
13:20

Glucose

98 mg/dL · steady after lunch

Fuel as planned
18:40

Training load

Zone 2 · 32 min logged

Loop updated
From signal to action

A better reading changes the next decision.

Wearables do not replace clinical context. They give the protocol a live view of what changed since yesterday.

Daily readiness

HRV, sleep, resting heart rate, and recent load adjust today’s volume before you start.

Glucose patterns

Post-meal spikes, variability, and timing add context that HbA1c alone cannot show.

Clean source priority

When two devices report the same metric, the highest-confidence source is used once.