At Urban Hawk, we transform spatial datasets into predictive simulations. Using cost fields, agent-based models, and voxel-based material physics, we run thousands of high-fidelity scenarios to model spread, distribution, and propagation in 2D, 2.5D, and 3D environments.
Our solvers test thousands of agents across digital twins to understand flows, congestion, and resilience. Cost field models optimize routing for evacuations, logistics, and complex crowd movement.
We model how disruptions, hazards, and resources spread through systems. From emergency response planning to supply chain resilience, our simulations provide clear foresight on distribution and propagation.
Our proprietary material physics engine simulates stress, deformation, and fracture within voxel and particle-based structures. This enables us to bridge the micro-scale of materials with the macro-scale of industrial digital twins.
Simulation is the proving ground for foresight. It reduces cost and downtime, validates safety protocols, and empowers resilience planning—before changes are deployed in the real world.
Integrated with our spatial intelligence, AI solvers, and quantum acceleration, our simulation platform is part of the Polaron World Engine that powers Darkonium AI.