AI & Machine Learning for Infrastructure Assets
We apply AI/ML models tailored for geotechnical and structural data to extract actionable insights from large, complex datasets.
Capabilities include:
- Anomaly detection in sensor and monitoring data
- Automated quality checks and data validation
- Predictive performance and degradation modeling
- Risk-based alerts and decision support
- AI-assisted interpretation of geotechnical test results
Applications:
- Foundations, embankments, retaining systems
- Bridges, pavements, tunnels, and dams
- Construction monitoring and asset lifecycle management
