Wear-Tech develops AI-powered wearable devices that utilize machine learning algorithms for real-time fall detection and hazard alerts. Their technology addresses the critical issue of seniors being unable to call for help during emergencies, ensuring timely assistance through automated emergency protocols.
Funding
$2.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many seniors are unable to call for help after a fall, leading to delayed assistance and potentially severe health consequences. Existing fall-detection systems often rely on manual activation or lack the ability to proactively identify environmental hazards.
Solution
Wear-Tech's Companion device is a wearable that uses machine learning to provide real-time fall detection and hazard alerts. The device scans the user's environment and alerts both the user and their care network if the user approaches potential hazards. In the event of a fall, the device's onboard intelligence determines the severity of the situation and automatically initiates emergency protocols.
Target Audience
The primary target audience is seniors and their caregivers seeking a proactive and reliable solution for fall detection and hazard prevention.
Features
- Real-time fall detection using onboard machine learning algorithms
- Proactive hazard alerts based on environmental scanning
- Automatic initiation of emergency protocols based on fall severity
- Hands-free operation for ease of use