AI-powered geohazard intelligence for engineers, governments, and resilient cities.
Earthquakes cause trillions in preventable losses.
We replaced decades-old empirical rules with modern deep
learning to predict the ground beneath us.
Fine-tuned on 50,000+ global case histories. Our model understands non-linear soil behaviors that traditional charts miss.
Real-time RAG for teams. Collaborate on risk assessments.
Integrate directly into your GIS workflows.
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High probability of liquefaction detected due to loose sandy soil composition combined with shallow water table. AI confidence: 94%.
From Tokyo to San Francisco, our models adapt to local geological conditions.
Ask questions, analyze soil behavior, and explore liquefaction scenarios through a domain-trained conversational model.
The GeoLiquefy Chatbot is a domain-aware AI assistant trained specifically to reason about geotechnical parameters, soil behavior, and seismic effects. It helps engineers, researchers, and government agencies understand liquefaction risks interactively, using the same scientific foundation as the core GeoLiquefy platform.
Break down SPT, CPT, Vs, fines content, stresses, and their implications.
Interpret soil profiles, discuss triggering conditions, and explain geotechnical logic.
Run hypothetical cases, modify inputs, and understand risk trends.
Climate change and urbanization are amplifying seismic risk.
Professor of Civil Engineering & Dean of Academics, Jaypee Univerity of IT. His work spans soil dynamics, ground improvement, and geotechnical earthquake engineering. Ashok brings depth, judgment, and a lifetime of field and academic insight that anchors the foundation of GeoLiquefy.
Professor of Civil and Environmental Engineering, Cal Poly. Robb works on probabilistic seismic hazard analysis, earthquake engineering, and soil liquefaction. His experience—from global earthquake reconnaissance to shaping modern seismic-risk methods—helps keep our scientific approach precise and disciplined.
Assistant Professor, Civil Engineering, NIT Delhi. His research covers geotechnical and geoenvironmental engineering with a focus on landslide mitigation, helical soil nailing, reinforced earth systems, and ground-improvement methods. Saurabh helps us bridge domain physics with modern data-driven modelling.
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