Detecting & predicting falls using
clothes residents already wear.
We have confirmed pilots with:
Why invest in fall detection & prediction?
$3k - $5k
on avg spent on falls per home per month!
3 hours
spent on each fall due to reporting, extra care, etc.
50 falls/yr
on average in an avg 90 person retirement home.
How Fallyx Works!
Residents get 5 pairs of socks (with sensors) & we attach sensors to all night clothing.
We set up bluetooth beacons & gateways in the home to allow our devices to communicate.
When a fall is detected or someone is doing a high-risk fall activty we call the nurses phone or pager.
Every 6 months we come in to check battery life of our devices & chat with the home!
Our Team:
CEO
Ayaan Esmail
Hey! 👋 I've been volunteering in senior communities since I was 10 & previously interned at Myant (a smart textiles startup) & UHN (1 of the world's top 5 hospital networks).
CTO - Software
Rishi Mehta
I'm an experienced coder and have 4+ years of experience creating algorithms for irrigation, object detection & activity recognition. Prev. I worked with the United Nations using machine learning to track patterns in sanitation metrics.
CTO - Hardware
Asif Iqbal
I have a Ph.D. in Electronics Engineering, more than 15yrs of experience in the IoT field and previously worked at PETRONAS as the Sr. Executive in the R&D Department for Electronics, IoT Hardware and Data communications.
Main Advisor
Alex Mihailidis
I'm the CEO and Scientific Director of AGE-WELL (a multi-million dollar aging network) & have 25 years of research experience in technology and environments for older adults. I've published over 200 papers in this field and have a Ph.D. in Bioengineering.
Get In Contact Today!
Whether you operate a retirement home, work at one, or are just passionate about the industry. Email us at admin@fallyx.com and we'd be happy to chat!