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EmberEye
Detecting Wildfires Before They Spread
24/7
Continuous Monitoring
5
Year Operation
Ultra-Early Fire Detection
EmberEye provides an ultra-early wildfire detection system that identifies potential ignitions and sends rapid alerts before fires have time to spread. The system is designed for high-risk landscapes where early confirmation can reduce response times and limit environmental damage.
Built for High-Risk Landscapes
Wildfire risk is increasing across fire-prone landscapes, utility corridors, and community-adjacent wildland. EmberEye combines strategic deployment planning, geospatial risk modeling, and cloud-based alerts to focus monitoring where fire risk is highest and support faster intervention.
Interested in a pilot? Connect with us here: [email protected]
Media
International Fire & Safety Journal
EmberEye detects California fire in under 60 seconds
Coverage of a controlled-burn test with Marin County Fire Department, where EmberEye reported detection in under a minute from more than 100 metres away.
Startups MagazineEmberEye claims breakthrough in early fire detection
A look at EmberEye’s infrared sensing technology, its Marin County demonstration, and plans for further testing with public bodies and conservation organisations in the UK and US.
DealroomEmberEye targets wildfires at the point of ignition with infrared sensors
Dealroom’s report on EmberEye’s approach to detecting ignition and assessing wildfire risk, drawing on coverage from Startups Magazine.
BBC NewsNew wildfire sensors installed to protect habitats in Surrey
BBC covered Surrey Wildlife Trust's 18-month trial of wildfire sensors as fire risk increases across protected habitats.
May 2026 Surrey Wildlife TrustUsing tech to keep fire risks in check
Surrey Wildlife Trust announced a reserve trial with partners including Surrey Fire & Rescue Service and Surrey Hills National Landscape.
April 2026 ESA BIC UKUK space tech startups target debris, wildfires and climate risk
ESA BIC UK highlighted EmberEye's work combining infrared sensing, satellite-derived risk models, and near real-time alerts.
March 2026