Fall prevention

Helpany’s radar-based motion monitoring solution improves fall prevention and care services within senior communities.

Helpany’s radar- and AI-based motion monitoring enables communities to identify residents at risk, help care teams prioritize the right resident at the right time, and prevent falls—with a built-in emergency call system.

Know Who Is at Risk

24/7 fall-risk assessment and change-in-condition insights.

The device Paul has no cameras and no microphones

Preserve Privacy

NO camera, NO microphone. Privacy-preserving motion sensing only.

Prioritize Care

Empower care teams to focus on who needs attention and when.

Measure Care

Understand response times, visits and time spent with residents.

Keep Residents Safe

Wireless eCall, real-time location & engagement insights.

Fall Prevention in Senior Living

Helpany enhances care delivery and fall prevention across senior living communities. Designed for measurable impact, it improves resident safety, elevates care quality, and drives greater operational efficiency.

This is PAUL

a radar-based device that monitors motion patterns to detect changes in condition — without cameras or microphones. Installed on the ceiling, PAUL empowers caregivers with real-time information, enabling safer, smarter, and more proactive care.

Paul is a smart AI motion sensor device

Paul Junior

Captures caregiver activity, recognizes their essential work, and helps managers balance workloads across shifts so every resident receives the attention they need.

Paul Junior is a small bluetooth beacon

Dashboard & App

A data-driven overview of care delivery and resident well-being, highlighting risks and uncovering opportunities to improve fall prevention and team performance. The app, designed for caregivers, residents, and families, provides real-time insights to support instant response and safe, efficient care across all levels of care.

helpany dashboard on the desktop and alert on the app

ePaul Pendant & Bracelet

delivers one-tap emergency call for residents, fully integrated into your existing PAUL ecosystem.

The Helpany Way

Helpany helps caregivers to improve fall prevention

1. Spot Residents at Risk

PAUL spots residents at risk of falling by analyzing activity levels, nighttime restlessness, frequent bathroom trips, and other behavioral changes—enabling prioritized alerts that help caregivers focus on the highest-risk residents first.

2. Get Preventive Alerts

Paul sends preventive alerts during risky moments—like when high-fall-risk residents get up at night to use the bathroom—and with ePaul, caregivers also receive instant emergency-call alerts whenever residents request help.

3. Track Performance

Paul tracks how much time staff spend with residents, how consistent processes are, and compliance—so leaders can identify patterns, keep standards high, and respond quickly.

4. Detect Gaps in Care Plans

Paul identifies potential care-plan misalignment by analyzing staff time provided across residents—helping communities determine whether actual care delivery aligns with resident needs.

5. Elevate Staff Performance

Paul measures each caregiver’s compliance and efficiency, highlighting top performers and driving excellence with data.

6. Add eCall

A seamless, camera-free emergency call solution with pendants, bracelets, and pull cords—fully integrated into Helpany with no rewiring, new infrastructure, or added complexity.

Measured Impact Across Communities

Communities report monthly fall reductions of up to 72%.

Fewer falls, fewer 911 calls, and fewer move-outs—adding up to $200K in estimated annual value per community.

Customer satisfaction icon

Up to 80% fewer fall-related 911 calls—keeping residents in the community longer.

Helpany’s fall prevention in communities

Helpany Featured on 3TV AZFamily

In this episode of Generation AI by 3TV AZ Family, Helpany co-founder Sandro Cilurzo explains how the AI-powered radar device Paul is helping senior living communities reduce falls by up to 72% within weeks of installation.

Mounted on the ceiling like a smoke detector, Paul uses radar and artificial intelligence—without cameras—to analyze motion patterns such as gait, posture, and stability. By identifying early signs of fall risk, the system alerts caregivers so they can intervene proactively.

With thousands of devices now deployed across Arizona senior communities, Helpany is demonstrating how privacy-first AI can support caregivers, improve safety, and transform proactive care in senior living.

Source: 3TV AZ Family – Generation AI.

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