We’re excited to announce that Hybridcore has successfully delivered the Simulation Visualization and Replay Environment  which is a major milestone within the European City project.

This powerful environment integrates agent-based simulation, reinforcement learning, and AI-assisted scenario generation into a unified platform designed for complex, data-driven decision-making and analysis.

About the Simulation Environment

The Simulation Visualization and Replay Environment enables users to create, execute, visualize, and replay simulation scenarios in an interactive and highly configurable way.
It supports dynamic ontology-driven modeling, and provides real-time streaming analytics through customizable dashboards.

Users can generate and manage agents and their properties using Large Language Models (LLMs), or import structured data directly from sources like CSV or Excel. This combination of AI-assisted automation and flexible data integration brings an unprecedented level of adaptability to simulation design.

The simulation environment represents a hybrid intelligence approach by combining human expertise, agent-based modeling, and AI to simulate and understand real-world systems with high complexity.

From policy evaluation to social behavior analysis, this technology provides decision-makers and researchers with a transparent, interactive, and scientifically rigorous tool for experimentation and insight generation.

Next Steps

With this delivery, Hybridcore has laid the foundation for the next phase of the Simulation  by scaling the system for more complex simulations, multi-agent learning, and domain-specific applications.

This achievement demonstrates our team’s commitment to advancing AI-driven decision systems that bridge the gap between human reasoning and computational intelligence.

Acknowledgment

We extend our gratitude to all project partners and contributors who made this delivery possible. The successful completion of the Simulation Visualization and Replay Environment marks a significant step forward in realizing the vision of hybrid intelligence for complex decision environments.