Now in pilot - UK care homes

Care that
never sleeps.

WaveSense monitors breathing, movement and vital signs around the clock - without cameras in bedrooms, wearables, or buttons to press. Passive intelligence for the people who need it most.

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£27.3B
UK older people's
residential care market
255k
Preventable falls
in UK care homes annually
48hrs
Average time before
deterioration is detected
1 in 3
Care home residents
at risk of pressure injury

Existing tools fail
the people who need
monitoring most.

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.

Pendant Alarms
Require the person to reach, press, and communicate - the exact moment when many residents are least capable. Pressed in fewer than 50% of actual falls.
<50%
activation rate during real emergencies
Wearables and Sensors
Require compliance, daily charging, and physical tolerance. Residents with dementia or SEND remove them. Battery failure means a monitoring gap. Accuracy falls with skin condition.
~30%
non-compliance in dementia care settings
Periodic Manual Rounds
Carers check every 2-4 hours. Deterioration in breathing, heart rate or position happens between rounds. A resident found distressed at 3am may have been that way since midnight.
2-4hrs
typical gap between overnight checks

Passive monitoring built for spaces
where cameras don't belong.

Aether uses radio technology to detect breathing, movement and vital signs through walls and bedding. Radiant adds optional spatial context where carers need it. Together they create a complete picture — without a single device on the resident.

Product One
Aether

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.

Breathing rate Heart rate Movement detection Fall detection Presence Sleep quality No wearable needed
Aether — How it works

Invisible.
Continuous.
Precise.

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.

01
Plug in and place
Mount to a wall or sit on a shelf. Power via USB. No drilling, no specialist installation. Takes under two minutes per room.
02
Pair to platform
Scan a QR code in the WaveSense app. The device joins your network and appears on the dashboard in seconds.
03
Signals fill the room
Radio waves propagate silently through the space. No cameras, no microphones. The resident is completely unaware of any monitoring.
04
Breathing and vitals detected
Micro-movements at chest and wrist scale are extracted from signal reflections. Breathing rate, heart rate, and movement patterns resolved continuously.
05
Baseline learned. Alert sent.
AI learns each resident's individual normal. When something changes - elevated breathing, prolonged stillness, or irregular movement patterns - carers are alerted immediately.
MS-1 PAIRING... ROOM 4 - LIVE BREATHING 16 bpm HEART RATE 72 bpm STATUS NORMAL UPTIME 8h 42m RESPIRATORY WAVEFORM 16 bpm ELEVATED VITALS Room 4 - 02:47 AM BR 28 / HR 104 - carer check sent Carer notified DEVICE PLACED
Product Two
Radiant

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.

Fall detection Wandering alerts Posture analysis Social isolation Corridor safety Edge AI - no cloud video Privacy-first
Radiant — How it works

See more.
Share less.

Radiant processes everything on-device. No video ever leaves the building. Carers see alerts, not footage.

01
Mount and connect
Camera installs in shared spaces, corridors, and dining areas. Ceiling or wall mount. Connects to the WaveSense platform over your existing network.
02
Edge AI activates
The on-device processor runs pose estimation locally. No video is streamed or stored in the cloud. Inference happens in real time at the device.
03
Posture and motion understood
17-point skeletal pose estimation reads posture in real time. Walking, sitting, standing, slumping, and falling are distinguished with high accuracy.
04
Events flagged instantly
Falls, wandering beyond safe zones, and extended isolation trigger instant carer alerts with a timestamped snapshot - not raw video.
05
Combined with Aether data
Radiant events are fused with Aether vitals data. Carers receive: who, where, what their breathing was doing, and how long they were down.
EDGE AI MODEL LOADED INFERENCE 12ms / frame 0.97 0.94 STANDING 0.97 SEATED 0.94 FALL DETECTED FALL DETECTED Lounge - Camera 1 Staff alert sent - 14:22:08 FUSED DATA - ROOM 4 RADIO SENSOR BREATHING: 22 bpm ELEVATED (normal: 16) Stress response detected HR: 88 bpm VISION FALLEN Duration: 00:42s Location: Lounge Carer: ETA 45s CAMERA MOUNTED

One dashboard.
Every resident.

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.

Continuous Baselines
The platform learns each resident's individual normal - their resting breathing rate, typical movement patterns, sleep rhythm. Alerts are based on change from that person's baseline, not population averages.
Unified Care Dashboard
All residents on one screen. Live status, recent alerts, trends, and notes. Carers see exactly who needs attention and why - without opening multiple apps or reading handwritten logs.
Predictive Alerts
Declining breathing trends, increasing night-time movement, or changes in sleep architecture can signal deterioration hours before a clinical event. WaveSense surfaces early warning - not just emergency response.
CQC Evidence Trail
Every observation, alert, and carer response is automatically logged with a timestamp. Objective evidence that monitoring happened between rounds - a defensible record for inspections and families.

Data becomes decisions in seconds.

1
Sense
Aether radio waves and optional Radiant edge vision capture continuous physical signals from the room.
2
Process
On-device and cloud AI extract vitals, movement patterns, posture and context from the raw signal.
3
Learn
Models build a personal baseline for each resident. Deviations become meaningful, not noise.
4
Alert
Carers receive targeted, actionable alerts. No video. No false-positive flood. Just what matters.

Built different.
By design.

The innovations that make WaveSense work are the same ones that make it hard to replicate.

Aether — radio, not a camera
Most monitoring relies on cameras or wearables. Radio technology reaches through bedding, darkness, and private spaces — the exact environments where cameras are unacceptable and wearables fail.
Individual baseline learning
Population-average thresholds generate noise. WaveSense builds a personal profile for every resident - so a breathing rate of 18 means something different for Margaret than it does for Fred.
Privacy-first architecture
Aether emits no video, image, or audio. Radiant processes on-device only. Carers receive metadata and snapshots, never raw footage. Full GDPR compliance built into the architecture, not bolted on later.
Longitudinal data moat
Each deployed device collects labelled, continuous health data from real care settings. As the network grows, model performance compounds. This proprietary longitudinal dataset does not exist anywhere else.
Scales without adding staff
One platform covers every resident, every room, every night. Monitoring capacity doesn't scale with headcount - it scales with devices. The economics improve with every additional bed covered.
Hardware + software integration
Sensor firmware, signal processing, ML models, and clinical dashboard built in-house as a unified stack. No dependency on third-party sensor APIs or cloud ML providers for the critical path.

No buttons. No wearables. No compromises.

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

A market remade
by demographics.

£27.3B
UK older people's residential care market - growing under workforce and demographic pressure
$503B
US long-term care market in 2025, projected $938B by 2033 at 8.2% CAGR
2x
UK population aged 85+ by 2049 - the highest-need cohort roughly doubles
489k
People in CQC-regulated domiciliary care in England - the homecare expansion market

Falls are the wedge.
Predictive care is the company.

WaveSense enters through the most urgent ROI case: falls prevention and night-time monitoring. Every care home manager understands the cost - an A&E admission, a care gap, a family complaint, a CQC finding.

But the real opportunity is the longitudinal dataset. Each device deployed builds labelled, continuous health data from real-world care settings. As the network grows, the models compound. That dataset doesn't exist anywhere else in the world.

The expansion path follows the care continuum - from residential homes into domiciliary care, hospital-at-home, dementia care, supported living, and eventually homecare for the independent elderly.

Now

UK care homes - residential

15,000+ UK care homes. Falls prevention, night monitoring, CQC evidence. Hardware + SaaS subscription model.

Next

Domiciliary and homecare

489,000+ people in CQC-regulated homecare. Same device - deployed in private homes by care agencies or NHS commissioners.

Scale

US, DACH, Nordics, APAC

$503B US LTC market. Ageing demographics across all developed economies. Regulatory appetite for passive monitoring growing post-COVID.

Platform

Predictive care intelligence

Longitudinal dataset enables condition-specific models: COPD deterioration, UTI prediction, medication adherence, dementia progression markers.

Ready to see it
in your home?

We are running a limited number of pilot programmes with UK care homes.
No commitment. No disruption. Just data.

hello@wavesense.health  ·  wavesense.health