Smart119 develops AI-driven emergency demand forecasting and drone delivery systems for Automated External Defibrillators (AEDs) to enhance response times in medical emergencies. The company addresses delays in emergency medical care and disaster response by optimizing resource allocation and improving access to life-saving equipment.
Funding
$3.6M 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.
NCFounders
Product
Problem
In emergency situations, delays in accessing Automated External Defibrillators (AEDs) and accurate demand forecasting can significantly impact response times and patient outcomes. Traditional emergency response systems often struggle with inefficient resource allocation and limited real-time data, hindering the ability to deliver timely and effective medical assistance.
Solution
Smart119 develops AI-driven solutions to optimize emergency medical response, focusing on demand forecasting and rapid AED delivery. Their technology suite includes AI algorithms that predict emergency demand, enabling proactive resource allocation and strategic positioning of AEDs. They also offer drone delivery systems for AEDs, ensuring faster access to life-saving equipment in critical situations. By leveraging real-time data and advanced analytics, Smart119 aims to reduce response times, improve the efficiency of emergency services, and enhance patient survival rates. Their integrated platform supports emergency medical professionals in making informed decisions and delivering timely care.
Target Audience
The primary target audience includes emergency medical service providers, fire departments, hospitals, and municipalities seeking to improve emergency response times and outcomes.
Features
- AI-powered emergency demand forecasting to predict the need for ambulances and AEDs.
- Drone-based AED delivery system for rapid deployment in emergencies.
- Real-time data analytics for optimized resource allocation and dispatch.
- Integration with existing emergency medical systems and communication networks.
- Mobile applications for emergency responders and the public to locate AEDs and report incidents.
- Predictive modeling to identify high-risk areas and optimize AED placement.