AirGuard reads your body and the air around you many times a second, runs risk models on the device itself, and only then decides whether to warn you, warn your team, or call for help.
The device only helps if the numbers are right. Everything above this layer depends on clean, continuous, time-aligned data.
Heart rate and blood-oxygen tracking through the jump, not just before and after.
Altitude, freefall speed and descent profile from fused barometric and motion sensing.
Wind speed and temperature recorded as you met them, alongside the flight data.
Streaming to your phone and to a connected support team on the ground.
Models trained on jump data recognise the shape of a developing problem earlier than a threshold alarm can.
Complex patterns across vitals, motion and conditions, evaluated together rather than one metric at a time.
Warnings raised before a limit is crossed, tuned so they stay rare enough to be believed.
Risk models run on the wearable, so a decision does not depend on coverage.
Models keep refining their predictions as more jump data accumulates across the fleet.
What happens in the seconds after something goes wrong, and in the hour after you land.
Critical events notify your designated contacts or nearby responders with location and conditions.
Your ground crew can follow the descent live, so they are not waiting on a radio call.
Pairing, alert configuration, contacts and post-jump review on iOS and Android.
Every descent recorded automatically, ready to annotate rather than reconstruct.
Mount the device and pair it with the app before you board.
Vitals, altitude, speed and conditions captured continuously.
On-device models evaluate risk as the jump develops.
Warnings to you; if it is critical, to your contacts.
The full descent waiting in the app when you land.
Smart safety technology for extreme sports. IoT sensing, machine-learning risk prediction and emergency alerting, in a wearable that fits your rig.