Enterprise AI Platform
EPUM builds research-driven geospatial intelligence systems that track, visualize, and predict commercial real estate development across urban systems nationwide.
At the intersection of geoinformatics and machine learning, EPUM develops specialized neural networks to map out the future of urban environments. We ingest satellite imagery, zoning changes, and economic data to predict commercial real estate shifts before they happen.
Our urban simulation engine provides institutional investors and city planners with unparalleled foresight into infrastructure stress and development velocity.
A continuous pipeline of geospatial intelligence processing.
Interrogate parcel-level data in real-time. Visualize predictive models, entitlement risks, and spatial trends through our cinematic geospatial dashboard.
Exploring the theoretical boundaries of spatial data science.
Proprietary attention-based neural net predicting hyper-local zoning transitions and commercial density shifts.
Machine learning infrastructure monitoring subtle infrastructural decay signals from multispectral satellite data.
Forecasting grid capabilities and transportation bottlenecks under simulated high-growth scenarios.
Predicted 18 months in advance the emergence of the Austin Eastern Commercial Corridor with 92% spatial accuracy.
Utilized terrain and zoning AI overlays to calculate flood and depreciation risk for a $500M institutional portfolio.
Partnered with municipal governments to simulate infrastructure load based on probabilistic 10-year growth models.