RealSimE (Real-World Simulated Environment) is GeoMate’s scalable, AI-driven HD mapping solution built for autonomous driving and simulation. Unlike traditional LiDAR-based or vision-only approaches, RealSimE uses AI-powered extraction from high-resolution aerial/satellite imagery to generate precise road geometry and semantic layers—including lane boundaries, curbs, signs, and regulatory features. The platform outputs standards-compliant formats such as OpenDRIVE and Lanelet2, ensuring seamless integration across simulation tools like CARLA, Mathwork’s RoadRunner, dSPACE’s AURELLION, and NVIDIA’s Cosmos workflows. RealSimE automates quality checks, supports incremental map updates, and enables rapid scenario generation and localization validation. At AutoSens, we will demonstrate RealSimE’s end-to-end workflow, highlighting examples of complex urban topologies and showcasing how our approach supports SOTIF-informed edge-case simulation. By bridging the “data-generation gap,” RealSimE accelerates safe, efficient AD development while maintaining real-world map fidelity.