Ray Research coordinates the development of the AX swarm firefighting system, enabling continuous 24/7 aerial water drops on wildfires without endangering pilots. By leveraging autonomous drone networks, the solution increases fire suppression efficiency and operates around the clock, regardless of daylight or smoke conditions.
Funding
$9.3K 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.
Founders
Product
Problem
Wildfire suppression relies on manned aircraft that can only operate during daylight and safe weather conditions, limiting the frequency and duration of water drops and exposing pilots to hazardous smoke and fire environments.
Solution
Ray Research coordinates the development of the AX swarm firefighting system, an autonomous network of drones capable of continuous 24/7 aerial water drops on active bushfires. The drones operate without human pilots, allowing fire suppression efforts to continue through night, low visibility, and adverse weather. Swiss-engineered hardware and software integrate with a broad partner ecosystem to deliver coordinated, high‑frequency water delivery over large fire fronts, improving overall suppression efficiency while eliminating pilot risk.
Target Audience
Primary customers are fire management agencies, forestry services, and private landowners responsible for protecting vegetation from bushfires, as well as emergency response organizations seeking rapid, pilot‑free aerial suppression.
Features
- Fully autonomous drone swarm that can execute coordinated water drops without human intervention
- Night‑time and low‑visibility operation enabled by onboard sensors and AI navigation
- Continuous drop capability providing round‑the‑clock fire suppression
- Scalable network architecture allowing multiple drones to cover extensive fire zones simultaneously
- Central coordination platform managed by Ray Research to integrate partner assets and mission planning