| Fire / Region | Location | Started | Status | Area (ha) | Est. Damage | Deaths | Evacuated | Source |
|---|
All figures sourced from government agency reports (NIFC, CIFFC, EFFIS), peer-reviewed analysis (Nature Reviews Earth & Environment), and verified news sources (Reuters, BBC, CBC). Damage estimates are approximations; final insured losses differ from total economic losses. Active fire perimeters change continuously. FireSense AI does not operate or manage these data sources and provides this section as public context only. NIFC CIFFC EFFIS
The first ground-based system to see a fire at one mile range — autonomously, without power infrastructure, without cellular coverage.
Wildfires ignite small. A campfire-sized flame, caught in the first ten minutes, can be contained. The same fire, undetected for an hour, can become a catastrophe. Today's detection systems can't reach wildland terrain where fires start.
FireSense AI's Lighthouse Node combines an omnidirectional close-range sensor constellation with a long-range directional thermal imaging system — in a single solar-powered unit deployable anywhere in under an hour.
A sphere-mounted array of solid-state infrared sensors provides full 360° thermal awareness with no moving parts. Close-range ignitions trigger an alert in under 5 seconds.
A motorized long-range thermal imaging system continuously scans the full 360° horizon at multiple elevation angles. Our patent-pending optical breakthrough enables one-mile detection for a fraction of the cost of military thermal systems.
Long-range thermal detection has historically required expensive cooled detector systems costing tens of thousands of dollars. Our patent-pending optical architecture achieves equivalent performance using a fundamentally different material science approach — bringing one-mile thermal detection within reach of distributed ground deployment.
A mesh of Lighthouse Nodes shares thermal intelligence continuously. When two or more nodes detect the same thermal signature, a confirmed alert is dispatched via satellite — reaching fire crews anywhere on Earth.
Investors have put $89M into camera-based wildfire detection alone — proving the appetite is real. FireSense AI occupies the terrain those systems physically cannot reach: the off-grid wildland where fires actually start.
FireSense AI is developed by a California-based engineering team with over 15 years of experience designing advanced RF and sensing systems for defense and commercial applications.
A provisional patent application was filed in July 2026 covering the dual-tier detection architecture and the novel long-range optical system independently. The application is confidential and has not been published. A non-provisional application is planned within 12 months. Technology details on this site are intentionally high-level.
All performance claims are derived from optical physics first principles and validated against the infrared detection equation, using the published specifications of commercial LWIR sensor arrays.
Hardware prototyping is underway. Field validation data will be published following first pilot deployment. We do not publish unverified claims.
We are building partnerships with insurance companies, utilities, and municipalities ahead of our first field pilot. Request early access or partnership information.
No spam. We will respond with partnership and pilot information only.
Or email us directly: info@firesense-ai.com