Degla provides an autonomous drone fleet that can be launched with a single natural‑language command to conduct coordinated thermal and visual sweeps of disaster zones. Its AI engine plans routes, orchestrates multiple drones, and streams real‑time imagery and heat signatures to emergency responders, enabling rapid survivor detection without manual piloting.
Funding
Funding not disclosed
Founders
Product
Problem
During disasters such as earthquakes, collapsed structures and blocked roads prevent first responders from quickly locating survivors, and traditional search methods can take hours to cover affected areas.
Solution
Degla offers an autonomous drone fleet that can be launched with a single natural‑language command. Its AI reasoning engine automatically plans flight routes, coordinates multiple drones, and conducts thermal and visual sweeps of the disaster zone. The system delivers real‑time imagery and heat signatures to emergency operators, allowing them to identify survivors within seconds instead of hours. By handling waypoint generation, multi‑drone orchestration, and data transmission, Degla removes the need for manual drone piloting during critical response moments.
Target Audience
Primary customers are emergency services, search‑and‑rescue teams, and public safety agencies that need rapid aerial assessment during incidents.
Features
- Natural‑language interface that translates a single operator command into a full multi‑drone mission plan
- AI‑driven route optimization and coordination for simultaneous grid sweeps and thermal scouting
- Integrated thermal imaging and high‑resolution visual cameras on each drone for survivor detection
- Real‑time streaming of thermal and visual data to responders’ consoles
- Autonomous operation from launch to data delivery without manual waypoint configuration
- Scalable fleet management that can deploy multiple drones to cover large disaster areas quickly