Research Project
Earth World Model
Predictive spatiotemporal world modeling across multi-source intelligence.
We don’t lack data, we lack predictive world models capable of fusing multi-sensor, multi-source intelligence. We are building physics-aware, predictive world models that infer the latent state and dynamics of Earth systems under partial observability.
While current approaches are typically constrained to a single sensor or data source, our framework learns predictive structure jointly across space, time, and modality. It aligns satellite, environmental, and ground-based signals into a coherent, continuously updated representation, enabling more robust, system-level understanding and forecasting.