Every day. Every moment. You are protected.
Everyone already carries a phone; almost anyone can wear a watch. AEGIS augmenting technology turns that everyday wearable into a continuous, learning health guardian that lives in your day — learning your normal across rest, work, exercise and sleep, catching the earliest signs of trouble, and keeping you safe. It is built for daily life first. And because it already captures clinician-grade signals, the very same device unlocks more — including, as just one application, streaming to a hospital station.
AEGIS Protector is the everyday wrist guardian; AEGIS Health adds non-invasive glucose, SpO₂ and ECG for continuous monitoring; AEGIS Clinical is the same engine on the hospital desktop; AEGIS Emotional reads stress, arousal and recovery from the body’s autonomic signals. One detection engine, several faces — read each one below, and launch its live interactive demo from its page.
The everyday wearable: it learns your normal, catches the earliest electrical signs of a heart attack — the K-wave — before you feel a thing, with graded audible alarms and a silent personal-safety mode.
Explore AEGIS Protector →The hospital-desktop sibling: the same engine on a population-referenced Cardiac-Ischaemia NDI, where one clinician watches every patient at once on a shared danger scale. Validated on 66,951 physician-labelled ECGs across two independent datasets.
Explore AEGIS Clinical →The continuous-monitoring tier: non-invasive glucose from an infrared sensor — no lancet, no strip — plus SpO₂ and a paired 4-lead Bluetooth ECG. A damped-oscillator glucose model yields a dimensionless diabetic index, and one adaptive engine learns your body. Two live 3D demos.
Explore AEGIS Health →The psychophysiological tier: a daily electrode band reads stress, arousal, cognitive load and recovery from skin conductance, HR/HRV, temperature and motion. One adaptive grey-zone engine learns your calm and defers to a human when unsure — shown on a live human-face Sentinel.
Explore AEGIS Emotional →
Monitoring shouldn't end at discharge, or begin only once someone is already in a bed. The people who need watching most are often the ones furthest from a machine: the elderly living alone, the chronically ill recovering at home, a patient lying in bed with nothing but a phone and a watch on the nightstand. A wearable meets them where they are — awake, asleep, at home, at work — and never looks away. The reach is only limited by who can wear a small device, which today is very nearly everyone.
It builds a personal baseline and keeps adapting to your lifestyle — so it knows what healthy looks like for you, per activity, not an average stranger.
It recognises and blends your activities — rest, walking, exercise, sleep — and judges you against the normal for what you're doing now. A high heart rate at the gym isn't a false alarm.
Because it learns normal, it catches any departure — a novelty-detection approach (one-class SVM / SVR) — not just a short pre-programmed list of diseases.
A dedicated channel watches for the J-wave / Osborn "K-wave" and ST changes — among the earliest electrical signs of an impending heart attack — before symptoms are felt.
It flags; a clinician decides. It improves through governed retraining, never silent self-adaptation — the AEGIS discipline across every system.
Because it's on the body and always on, it can carry personal-safety functions too — including a silent duress mode for a robbery or a threat.
The models behind it are the interpretable Support-Vector family the AEGIS programme favours — SVM, Nu-SVM and SVR, extended with adaptive membership weighting — and every number that matters is measured subject-independently (the same person is never in both training and test), so the figures are honest rather than flattering.
The real aim is to keep you out of hospital in the first place — pre-emptive detection woven into daily life, catching trouble early enough that it never becomes an emergency. That is exactly why the hospital is a secondary application, not the point. But if you do end up in a ward, the same device follows you in: your AEGIS is still with you. A hospital bay today is defined by the machine beside the bed — ECG, SpO₂, respiration, blood pressure, wired to a patient who can’t move far from it. If the everyday device a patient already wears captures those same signals and has learned what’s normal for them, it simply delivers its stream to the ward’s existing desktop monitoring system — the multi-parameter display clinicians already trust — no separate box bolted to the bed.
The instinct behind AEGIS is to augment, never replace — to put a quiet, honest layer of intelligence between a person and the moment something goes wrong, and to keep a human in command of what happens next. A wearable that learns you, watches in parallel across every signal, and can hand a clinician-grade picture to the ward is that instinct made concrete: real-time protection, cardiac and personal, that learns, adapts, and never looks away — always with you, every day, every moment.