Worldscape ingests open-source data on available ports, airfields, ground, and rail networks, and combines it with proprietary business data to track the location and status of deliveries worldwide, enabling intelligent routing and re-routing options in the event of supply chain disruptions.

Worldscape leveraged operational data and real-time feeds to build a dynamic digital twin of their data center, enabling predictive insights, performance optimization, and enhanced decision-making through a continuously updated virtual replica of physical infrastructure.

Using the digital twin, we simulate supply chain disruptions to model second- and third-order effects, enabling proactive scenario planning, risk mitigation, and strategic decision-making by visualizing the cascading impacts across infrastructure, logistics, and operational dependencies in real-time.

The Worldscape platform fuses the digital and physical worlds to create a collaborative decision-making environment, where human actions are visible to machine learning algorithms, and machine actions are visible to humans. Agentic AI triggers alternatives for delayed shipments, keeping human operators in the loop. The delivery is rerouted to another ocean freight shipper at an alternative port and flown into the data center to ensure on-time delivery.

A 3D model of the data center is imported from Autodesk CAD with a single click, transforming it into a geospatially accurate and physics-accurate digital twin, including the surrounding terrain. Infrastructure placement and configuration become clear and intuitive. The confirmed deployment triggers work orders and updates to inventory and other systems. The human operator's actions drive the Al agent events through systems and integration.