The platform
How ambient intelligence works
We built the platform that memory care has needed for decades: continuous, dignified, clinical-grade monitoring — without a single camera.
What it is
Sensing without seeing
Ambient intelligence means the environment itself observes — not a person, not a camera, not a wearable. Radar waves fill the room silently and return with information about every movement in the space.
The result is a continuous, passive data stream that requires nothing of the resident and nothing of the staff to generate — yet yields clinical insights that were previously impossible to capture at scale.
Why not cameras?
- Camera footage is inherently identifiable — radar point clouds are not
- Residents in memory care cannot meaningfully consent to continuous video surveillance
- Camera systems require network bandwidth and storage that most LTC facilities cannot support
- Radar works in the dark and through bedding — cameras do not
Architecture
The three-layer stack
01 — Hardware
The sensing layer
Each room is equipped with a millimeter-wave radar module (Texas Instruments IWR6843AOP) mounted on a custom PCB. The device continuously sweeps the room at 60 GHz, capturing point clouds that encode position, velocity, and micro-motion — without ever forming a photographic image.
02 — Cloud
The inference layer
Raw point clouds are processed by algorithms running in AWS. Signal processing pipelines extract clinical features: fall events, respiration rate, sleep staging, and behavioral patterns. All computation is HIPAA-compliant; data never leaves a per-tenant AWS environment.
03 — Application
The care layer
Ella translates inference outputs into clinical language. Staff receive alerts, summaries, and trend reports through a simple dashboard and mobile notifications — no training required, no new workflow imposed.
Evidence
The science
PATENT
PCT/US2025/61807
Methods and systems for continuous non-contact physiological monitoring using millimeter-wave radar in long-term care environments.
FUNDING
NIH STTR Phase I
Peer-reviewed federal funding validating the scientific premise and commercial potential of ambient sensing for long-term care monitoring.
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View clinical approach