Koko Ni is a predictive healthcare analytics platform that utilizes non-invasive sensors to monitor the wellness of seniors in real time, providing caregivers with minute-by-minute data on their loved ones' health. This technology addresses the need for proactive care and injury prevention by offering insights into daily wellness trends without the use of cameras or wearables.
Funding
Funding not disclosed
Founders
Product
Problem
Seniors often require continuous monitoring to ensure their safety and well-being, but traditional methods can be invasive or require constant caregiver supervision. Existing solutions may compromise privacy or limit independence, creating challenges for both seniors and their families.
Solution
Koko Ni offers a non-invasive, wall-mounted sensor that monitors seniors' wellness in real-time without using cameras or wearables. The system tracks key indicators such as respiratory rate, sleep patterns, movement, and bed exits, providing caregivers with minute-by-minute data and historical trends. By automating data collection and analysis, Koko Ni enables proactive care and early detection of potential issues, promoting safety, security, and transparency while respecting privacy. The technology alerts caregivers to changes in wellness or behavior, allowing for timely intervention and personalized support.
Target Audience
Koko Ni primarily targets caregivers, families, and healthcare professionals who support seniors in home or facility settings, seeking a non-invasive and reliable monitoring solution.
Features
- Wall-mounted radar and thermal sensors for non-contact monitoring
- Real-time tracking of respiratory rate, sleep patterns, and movement
- Bed exit and visitor tracking capabilities
- Customizable alerts based on individualized thresholds
- Data accessible via a user-friendly interface, displaying current status and historical trends
- Easy installation process, similar to hanging a picture frame
- Data privacy through the use of radar and thermal sensors instead of cameras, ensuring anonymity