elderly care
Dignity Through Technology. Safer Homes, Connected Families.
Integrate your sensors into a single AI platform that predicts risks and keeps families informed.
Mr. Chan
Status: Resting
Daily Activity Goal
The Challenge
You can't be in every room at once. Staff shortages compromise safety and leave families anxious. Bridge the gap with intelligent monitoring.
RCHEs are chronically understaffed. One nurse often manages dozens of residents, increasing fall risks.
Standalone sensors don't talk to each other, creating data silos that fail to provide a holistic view of resident health.
Mission Agents for Elderly Care
Safety Sentinel Agent
A centralized brain that monitors resident safety. Analyzes data from bed pressure sensors and wearables to predict high-risk movements (like climbing out of bed) and alerts staff before a fall occurs.
PREDICTIVE ALERT
Bed sensor detects shifting weight to edge. Fall risk imminent.
SWD Compliant & Secure
Service Quality Standards (SQS)
Built to meet the rigorous SQS requirements for RCHEs in Hong Kong.
Impact Case Study
"Reduced fall response time by 70% using mobile health monitoring."
PolyU Nurse M-Health App
Partner Project
Contact Us Now