WaveSense gives carers continuous insight into health data and changing risk, without wearables, buttons, or anything attached to the person being cared for.
WaveSense turns rooms into quiet, privacy-aware monitoring spaces. Aether provides ambient vital-sign and movement insight from radio signals. Radiant adds edge vision in shared areas. Cortex turns both signal streams into carer action.
Breathing, heart rate, movement, presence, sleep and stillness monitored without asking the resident to do anything.
PRECOG learns personal baselines, spots meaningful deviation, and prompts carers before slow deterioration becomes an incident.
Aether keeps private rooms visually private, while Radiant brings edge vision to shared spaces where context matters.
Every observation, alert and response becomes a timestamped care record for staff, families and inspection evidence.
Residents with dementia, limited mobility, or non-verbal conditions cannot press a pendant. The frail elderly don't tolerate wearables. Night rounds happen every few hours - deterioration doesn't wait.
Aether gives each room continuous radio-based insight into breathing, heart rate, movement, presence and sleep without anything attached to the resident. Radiant adds visual context for shared spaces, corridors and fall-risk areas. Together they give care teams a richer picture than either signal can provide alone.
A small wall-mounted device that uses radio technology to sense breathing, heart rate, movement and presence in any room - continuously, passively, and entirely without contact.
Radio technology fills the room like Wi-Fi. Changes in the signal reveal motion at breathing scale - chest rise, heartbeat, a body crossing the room.
An edge AI camera for shared spaces and corridors. Radiant understands posture, movement and proximity, flagging falls, wandering and social isolation in the areas where context matters.
Radiant processes everything on-device. No video ever leaves the building. Carers see alerts, not footage.
Sensor data flows into a single care intelligence platform. AI builds a baseline for each individual, learns their normal, and sends targeted alerts when something needs attention.
Falls are visible. Deterioration is not. PRECOG is WaveSense's predictive intelligence layer: it learns what normal looks like for each person, then flags the subtle drift that can precede infection, respiratory distress, frailty decline, dehydration, poor sleep or emerging risk.
Earlier carer check recommended before escalation.
Generic thresholds create noise. PRECOG models each resident's normal breathing, motion, rest and routine, then treats deviation as the signal.
The same passive sensors observe days, nights and trend changes over time, building the context needed for predictive care rather than reactive alerts.
PRECOG does not diagnose. It turns subtle change into a practical care prompt: check hydration, breathing, sleep, mobility, infection risk or medication response.
The innovations that make WaveSense work are the same ones that make it hard to replicate.
| Capability | Pendant alarm | Wearable | Camera | WaveSense |
|---|---|---|---|---|
| Works without resident action | ✗ | ~ | ✓ | ✓ |
| Continuous vital signs | ✗ | ~ | ✗ | ✓ |
| Acceptable in bedroom / bathroom | ✓ | ✓ | ✗ | ✓ |
| Works for dementia / non-verbal residents | ✗ | ✗ | ~ | ✓ |
| Individual baseline learning | ✗ | ✗ | ✗ | ✓ |
| GDPR / privacy compliant | ✓ | ~ | ✗ | ✓ |
| Zero hardware on resident | ✗ | ✗ | ✓ | ✓ |
| Predictive / early deterioration signal | ✗ | ✗ | ✗ | ✓ |
We are running a limited number of pilot programmes with UK care homes.
No commitment. No disruption. Just data.
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