La Casa utilizes IoT and predictive AI analytics to monitor health and environmental conditions in homes, providing real-time insights and alerts for elderly or vulnerable residents. This technology addresses the challenges of maintaining independent living by preventing health crises and improving overall well-being through proactive interventions.
Funding
$200K 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
Elderly or vulnerable individuals often face challenges in maintaining independent living due to potential health crises and environmental hazards within their homes. Traditional care models and nursing homes can be financially burdensome and may not align with the desire of many to remain at home as long as possible.
Solution
La Casa offers a solution by utilizing IoT sensors and predictive AI analytics to monitor both health and environmental conditions within a residence. The system provides real-time insights and alerts, enabling proactive interventions to prevent health crises and improve overall well-being. By detecting subtle changes in living patterns and the home environment, La Casa facilitates the delivery of targeted services that address the housing, social, and care needs of residents, ultimately slowing age-related decline. The platform combines ambient intelligence within the home with a web-based decision support system, allowing for timely notifications and alerts via email, text, or online.
Target Audience
La Casa primarily targets elderly or vulnerable residents seeking to maintain independent living, as well as property managers responsible for monitoring occupancy and environmental conditions in multiple properties.
Features
- Continuous monitoring of vital signs including heart rate, blood pressure, body temperature, and pulse oximetry.
- Detection of Activities of Daily Living (ADL) and anomalies in movement patterns.
- Monitoring of sleep time, bathroom visits, appliance usage, and time spent at home.
- Fall detection and SOS alerts for immediate assistance.
- Ambient environmental monitoring including temperature variations, mold detection, and energy usage.
- Automated occupancy detection for property management.
- Web-based decision support platform for proactive interventions and notifications.