TruePASS provides AI‑driven aerial firefighting solutions that improve drop timing and targeting accuracy while enhancing crew safety. The platform integrates advanced navigation and sensor technology to ensure precise retardant delivery and reliable return-to-base operations for government fire agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Aerial firefighting missions rely on manual drop timing and limited sensor data, leading to inconsistent retardant placement and heightened risk to flight crews. The lack of real-time navigation assistance makes it difficult for pilots to achieve precise targeting while ensuring a safe return to base.
Solution
TruePASS delivers an AI‑driven platform that integrates advanced navigation, real‑time sensor fusion, and automated drop sequencing to synchronize retardant release with optimal fire‑line positions. The system continuously calculates the ideal release point based on aircraft speed, altitude, wind conditions, and fire geometry, executing the drop with millimeter‑level accuracy. After each mission, the platform provides post‑flight analytics to verify drop performance and to plan safe return routes. By automating critical timing decisions, TruePASS reduces pilot workload, improves drop effectiveness for government fire agencies, and enhances overall crew safety.
Target Audience
Primary customers are government fire management agencies and contracted aerial firefighting operators that conduct retardant drop missions.
Features
- AI-powered flight path optimization that accounts for real‑time meteorological and terrain data
- Sensor suite integration (GPS, inertial measurement units, lidar) for precise aircraft state estimation
- Automated retardant release control with sub‑second timing accuracy
- Real‑time safety monitoring and dynamic return‑to‑base routing to avoid hazardous conditions
- Post‑mission analytics dashboard delivering drop accuracy metrics and performance reports
- Compatibility with existing aerial firefighting aircraft through modular avionics interface