Our AI pilot enables long-range drones to autonomously execute vertical-use case tasks, including reconnaissance and rapid response missions, all through a single operator command.
The demand for unmanned long-range aerial systems grows exponentially. However, this transition faces a critical bottleneck: the scarcity of trained pilots.
Operating a single long-range drone requires over 20 personnel, and clearance to operate a long-range drone necessitates years of training and experience. This difficulty in acquiring qualified pilots has limited the corporation’s investment into drone technology.
By integrating our proprietary AI pilot system into an NVIDIA chip, drones can autonomously conduct long-range flights, including military detection and response missions, with just one operator.
Built Military-Grade Drone
We have built a military-grade drone weighing 80kg, capable of carrying Lidar and a 5k camera to test our AI pilot.
Autonomous UAV AI Exploration Success
We built our beta AI in a simulator, and it has proven its ability to utilize data to train itself in finding the most efficient route to fly in unknown and dynamic environments.
Progress
We are scheduled to conduct real-flight demos with the DOD and Coast Guard in Q2 2024.
Data Moat
We chose to begin in the military sector because vertical integration is crucial for developing autonomous AI pilots for drones. The extensive video camera input required to train AI pilots is readily available in military/rescue operations, making it an ideal starting point.
Allen Lee - Founder
Milu Li - Advisor & UAVs partner
Rafael Soh - Founding Engineer
Milu and I (Allen) have been friends for over 10 years and counting. In 2014, at a robotics startup I cofounded, we built the first ever autonomous drones capable of skywriting Chinese characters beside Taipei 101.