
Sleep and Vital Signs Monitoring Device
An easy one-time setup under the mattress is all it takes to monitor your health data.

Introducing BedDot

Safety Event
BedDot is an Al-powered zero touch sensor device to provides real-time continuous activity and vital signs monitoring.


Blood Pressure

Heart Rate


Respiration Rate

Heart Rate
± 3 beats per minute

Respiration Rate
± 3 breaths per minute

Blood Pressure
± 5 mmHG

Safety Event
98% Detection
Clinically Validated

Better Monitoring, Better Decisions
Journal of American Medicine Association (JAMA) highlighted promising research suggesting that remote monitoring could potentially be associated with 87% fewer hospitalizations, 77% fewer deaths, and reduced per-patient costs of $11,472 over standard care
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BedDot is a zero-touch, privacy-respecting, remote vital signs monitoring solution. Our features are based on a patented technology from the research of the University of Georgia.

Successful Aging Is a Puzzle
26M
Age 50+ living alone in US
- NY Times
1.1M
Nursing home residents
-Kaiser Family Foundation
>70%
Will Have a Cardiovascular Condition
-AARP
<5%
Compliance Rate for current Monitoring Devices
77%
Age 50+ Prefer to age in place
-AARP
BedDot helps older adults live better through affordable, easy to use, discreet and continuous monitoring.

Simple Regulatory Pathway
Currently offered as a safety assisance device, the BedDot is not yet FDA cleared. The pathway consists of 510(K) Class II classifications. Partners interested in trialing the Bed Dot should connect with us
Cloud based AI algorithm
Validated through an STTR, the cloud-based algorithm interprets raw seismic data into heart rate, respiration rate, blood pressure, on/off bed events, fall event, movements, posture changes. Key inventions protected by three filed patents


Cloud Connected Seismic Sensor
Wifi + BLE battery powered cloud connected seismic sensor. When placed onto a person's bed or furniture , it records the vibrations and streams the data to the cloud. The vibrations are interpreted by an AI algorithm that displays the person's vital signs
Mobile, Tablet, Web, API
The interface consists of a mobile app for setting up and displaying results, a tablet application for monitoring multiple users (such as at a facility), a web portal for managing and provisioning users, and an API gateway for third party integration
