EmberEye provides an ultra‑early wildfire detection system that continuously monitors high‑risk landscapes with minute‑level sensor data and cloud‑based analytics. The platform uses geospatial risk modeling to prioritize sensor placement and delivers real‑time alerts via SMS, email, or API, helping fire agencies, utilities, and land managers intervene before fires spread.
Funding
Funding not disclosed
Founders
Product
Problem
Wildfires often go undetected until they have already grown, leading to delayed response, greater environmental damage, and higher suppression costs, especially in remote or high-risk landscapes.
Solution
EmberEye offers an ultra‑early wildfire detection system that continuously monitors high‑risk areas and generates alerts within minutes of ignition. The platform combines strategic sensor deployment with geospatial risk modeling to focus monitoring on locations with the greatest fire probability. Data from the sensors are streamed to a cloud service that analyzes temperature and smoke signatures in real time and triggers automated alerts to responders. By providing 24/7, year‑round coverage, EmberEye enables fire agencies, utility operators, and land managers to intervene before a fire can spread, reducing response times and limiting ecological and economic impact.
Target Audience
Primary customers are fire protection agencies, utility companies, and land‑management organizations responsible for monitoring and protecting high‑risk wildfire zones.
Features
- Minute‑level detection of ignition events with continuous 24/7 monitoring
- Year‑round operation designed for remote and rugged environments
- Geospatial risk modeling to prioritize sensor placement in the highest‑risk zones
- Cloud‑based analytics pipeline that processes temperature and smoke data in real time
- Automated alert delivery via SMS, email, or API integration with incident management systems
- Scalable deployment planning tools to support utility corridors, community‑adjacent wildlands, and other fire‑prone landscapes