Eldercare motion intelligence · Hong Kong

Safer aging,
earlier insight.

Privacy-preserving motion intelligence for care teams — so risk can be seen before it becomes harm.

No cameras No faces No audio Motion signals only

We are restoring human care.

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We are restoring human care.

Designed so identity is never the product.

Elderly couple sitting together on a park bench looking out over calm water and distant hills

Safer aging, earlier insight.
See risk before it becomes harm.

Companionship and dignity — the human context Elden is built for.
Elderly woman and young boy sitting outdoors in front of a traditional doorway
Intergenerational life in Asia — care stretches across families and communities.

Care teams need earlier visibility into everyday risk.

Across Asia, residential care is absorbing a fast-growing older population with stretched staffing and tools that notice harm too late — or feel like surveillance.

2B

people aged 60+ expected by 2050 — Asia carries the majority share.

59%

of elderly care agencies in key Asian markets report operating understaffed.

50–75%

of care-home residents experience a fall in a given year (industry framing).

#1

Falls remain a leading cause of injury-related hospitalisation for older adults.

Figures above are pitch framing drawn from public ageing / care literature — not a primary market study by Elden.

When care is safer, everyone ages better.

“When care is safer, more consistent, and less exhausting, everyone ages better — the person in the bed, the person beside it, and the community holding them both.”

Hong Kong is our starting beachhead — concentrated residential care workflows, where a focused pilot can be evaluated honestly.

Elderly East Asian couple sitting side by side outdoors, looking calmly toward the camera
Presence, partnership, and everyday dignity.

Motion intelligence that supports care — without turning rooms into cameras.

Elden is being designed as a practical safety and workflow layer for care providers, with privacy-safe sensing standards from day one.

01

Non-invasive sensing

No cameras, no faces, no audio — motion signals only.

02

AI detection

Patterns tied to unsafe transfers, night bed-exit risk, and early mobility change.

03

Actionable alerts

Timely signals for care teams — not dashboards full of noise.

04

Workflow support

Structured records that help across shifts — support, not surveillance.

We are restoring human care.

Person working at a whiteboard covered with notes and diagrams
Process over product theatre — sense, analyse, then alert.

Sense. Analyse. Alert.

Three moments in eldercare carry outsized risk. We focus there first — with an abstract loop, not a fake product screen.

Sense

Ambient motion sensing in the care environment — without optical capture.

Analyse

Models look for risk-relevant movement patterns over events and time.

Alert

Care staff receive clear, actionable prompts when attention may matter.

Transfer safety

Visibility into assisted movement moments that carry high physical risk for residents and staff.

Night bed-exit risk

Awareness when unsupported night movement may need a timely human response.

Mobility decline signals

Earlier review when ordinary movement patterns start to change over time.

Sensing direction: evaluating privacy-safe mmWave and UWB configurations — no optical input at any layer. Hardware choice is not final; reliability and dignity come first.

Quiet coastal view beyond an elderly couple on a bench — calm, private, human

Motion signals, not footage.

Elden is being designed so care can gain insight without turning private rooms into camera feeds. Identity is never the product.

No cameras

No optical capture of rooms, faces, or bodies.

No faces · no audio

Designed around motion signals — not biometrics or conversation.

Transparent governance

Consent, retention, and secondary use treated as design decisions — not afterthoughts.

Dignity first

Built to support carers and residents — never to shame or quietly watch people.

Hand pointing to an architectural floor plan under a beam of light
Deliberate planning before claims — a focused pilot, not a splashy launch.

Prove three things before claiming more.

We do not need to solve all of eldercare at once. We need a focused, honest proof in a real care setting.

1 care home 20 rooms Hong Kong Focused evaluation

Detection reliability

Can motion sensing detect the target risk patterns with useful accuracy in a live care environment?

Staff usefulness

Do care staff find alerts helpful and non-disruptive across real shifts?

Response visibility

Does the home gain clearer visibility into incident response timing?

Proposed pilot design — not an active deployment or signed LOI.

“I am not a technologist who discovered aging. I am the one who sat with the elderly and could not look away.” — Wilfred Cho, Founder · Hong Kong

Building from care, not from a lab demo.

Wilfred is a creative strategist and producer based in Hong Kong, with experience spanning editorial and brand storytelling — including work connected to SCMP and campaigns for brands such as D&G, Lane Crawford, Disneyland, and The New York Times.

Time spent volunteering with isolated older adults made the problem personal: safety and dignity often depend on someone being present — and too much still happens in the hours when no one is.

Elden is at ideation: building the right foundation before claiming a finished product.

Looking for A technical cofounder / collaborator — actively exploring HKUST AI and biomedical engineering networks.

Let’s talk about safer care.

Care-home operators, clinical advisors, technical collaborators, and capital partners — introductions welcome.

Prefer email?

Write directly to wilfred@elden.health

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