Silvermorph Tech builds AI‑powered software for elderly care providers, enabling aging‑in‑place services that enhance safety, independence, and well‑being for seniors.
Funding
Funding not disclosed
Founders
Product
Problem
Elderly care providers often rely on manual checks and fragmented data to monitor seniors living independently, leading to delayed response to health incidents and increased caregiver workload. This hampers the ability to ensure safety, maintain independence, and deliver timely, personalized care.
Solution
Silvermorph Tech offers an AI‑driven platform that continuously monitors seniors in real time and generates predictive health alerts for care providers. The system integrates sensor data, wearable inputs, and environmental cues to detect falls, vital‑sign anomalies, and behavior changes, notifying caregivers through a unified dashboard. Machine‑learning models analyze patterns to forecast potential health issues, enabling proactive interventions. Caregiver workflow tools streamline task assignment, incident logging, and communication, reducing manual oversight and improving response times. The platform is tailored to the regulatory and cultural context of Hong Kong’s elderly care sector, supporting operators in delivering safe, independent aging‑in‑place services.
Target Audience
Primary customers are elderly care service providers and senior living facilities in Hong Kong that manage independent living residents and require technology to enhance safety and operational efficiency.
Features
- Real‑time monitoring of vital signs, movement, and environmental conditions via IoT sensors and wearables
- Predictive analytics that flag health risks such as falls, dehydration, or abnormal activity patterns before they become critical
- Automated alerts delivered to caregivers through mobile and web dashboards with customizable escalation rules
- Integrated caregiver workflow module for task scheduling, incident documentation, and secure messaging
- Data aggregation and reporting tools that provide insights into resident health trends and operational efficiency
- Compliance‑focused design adhering to Hong Kong health data privacy standards