Arcland

Arcland builds simulation and validation infrastructure for drone autonomy operating in open, unstructured environments. We turn real-world flights into high-fidelity, physics-enabled scenes, then stress-test autonomy stacks against hundreds of procedural variations: wind, weather, lighting, obstacles, to surface failures before deployment.

Founded by Eldaniz, who has spent years working on 3D scene representation and motion planning in both research and production environments. He authored peer-reviewed work on Neural Radiance Fields and Signed Distance Field representations, and previously shipped real-world perception systems running under tight hardware and latency constraints.