AVES Reality: Building the Simulation Layer for Autonomous Systems
Using satellite imagery, geospatial AI, and physics-aware modeling, the company generates simulation-ready 3D digital twins of cities worldwide. These environments are deterministic — meaning scenarios can be repeated, validated, and scaled.
This positioning is consistent across their communication:
“We turn real-world environments into simulation-ready digital twins for scalable and repeatable testing.”
The importance lies in what this enables. Instead of relying solely on physical testing, developers can simulate millions of edge cases — from rare traffic scenarios to environmental conditions — before deployment.
Following an oversubscribed €2.7M seed round, AVES is expanding its platform and partnerships. The ambition is to become part of the foundational infrastructure for what is increasingly described as “physical AI” — systems that interact directly with the real world.
