Skydio aims to contribute to the industrial base by enabling the deployment of highly autonomous AI-driven drones at scale, which is crucial for maintaining military effectiveness.

The first generation of Skydio drones failed in Ukraine due to a lack of focus on electronic warfare capabilities, leading to a significant redesign to operate effectively in GPS-denied environments.

After learning from failures in Ukraine, Skydio adapted its technology to operate without GPS, demonstrating resilience and capability in harsh environments.

The speed of software deployment is critical in modern warfare; Skydio was able to write and implement new software for its drones in just 24 hours to adapt to battlefield conditions.

Fine-tuning Copilot with proprietary data will give companies a competitive edge over generic AI solutions. The sustainable advantage lies in obtaining new samples to apply reasoning models with your data, enabling reinforcement learning in real-world applications.

The rise of AI-controlled drones will change the nature of warfare, making it easier for smaller, technologically advanced states to compete without risking soldiers' lives.

The U.S. military's reliance on exquisite systems has created a disparity in drone production capabilities compared to adversaries like China, which can produce drones at a much larger scale.

The industrial capacity of China is fearsome, especially in deploying highly autonomous AI-driven drones at scale, which presents a significant challenge for the U.S.

We build collision avoidance systems for industrial drones, which are now mandated by aviation authorities worldwide for safe operations.