FNN provides proprietary High-Risk-Lightning (HRL) strike intelligence using a patented detector network and AI signal processing. This service identifies rare, long-duration lightning events capable of causing wildfires or power outages in real time. Utilities and government agencies use this precise fault location and ignition detection data to optimize dispatch and mitigate infrastructure risk.
Funding
Funding not disclosed
Founders
Product
Problem
Lightning strikes are the leading cause of wildfires, accounting for a significant portion of the total area burned, particularly in the Western US. However, only a small percentage of lightning strikes, termed High-Risk-Lightning™ (HRL™), are capable of igniting fires.
Solution
Fire Neural Network™ (FNN™) provides real-time detection of lightning-initiated wildfires by identifying High-Risk-Lightning™ (HRL™) strikes within seconds. The system utilizes proprietary HRL™ detectors and AI signal processing techniques adapted from astrophysics to analyze lightning data and environmental factors. By alerting authorities before visible signs of fire emerge, FNN™ enables rapid response, minimizes fire spread, and reduces associated costs and losses. The technology facilitates efficient deployment of wildfire camera systems, drones, and other resources for verification and suppression.
Target Audience
The primary customers are utility companies, forest services, NGOs, land trusts, and first responders responsible for wildfire prevention, detection, and suppression.
Features
- Proprietary High-Risk-Lightning™ (HRL™) detectors with dual-band design for precise current duration and charge transfer measurements.
- AI signal processing techniques adapted from astrophysics for real-time analysis of lightning and environmental data.
- 3-D mapping capabilities for superior accuracy and detection efficiency of HRL™ strikes.
- Integration with wildfire camera systems, drones, and other resources for rapid verification and situational awareness.
- FNN™ Firebird UAV designed for verifying HRL™ ignition spots and providing situational awareness to first responders.