AI-Driven Infrastructure Asset Management

Machine learning models trained on inspection data, sensor feeds, and maintenance records forecast deterioration and prioritize interventions for highways, bridges, water, and transit systems. This shifts infrastructure management from reactive to risk-based, especially critical in aging networks across North America, Europe, and Asia.