Learn how InferTrust™ AEC creates sealed records for AI-assisted geotechnical analysis, foundation design, and subsurface condition evaluation.
Geotechnical engineering involves inherent uncertainty: subsurface conditions are inferred from limited borings, soil behavior is modeled with empirical correlations, and ground conditions can vary significantly across a site. When AI assists in geotechnical analysis (interpreting boring logs, classifying soils, calculating bearing capacity, predicting settlement, designing retaining structures), the AI's decisions directly affect foundation sizing, earthwork design, and construction methods. InferTrust™ (Patent Pending) AEC creates sealed records for every AI-assisted geotechnical evaluation.
Geotechnical AI decisions are only as reliable as the subsurface data they analyze. InferTrust™ AEC hashes the boring log data, lab test results, and in-situ test measurements that the AI processed, creating a verifiable link between the input data and the resulting analysis. If additional borings later reveal different conditions, the decision chain proves exactly what data was available when the original analysis was performed, supporting the engineering firm's defense that its analysis was appropriate for the information available.
AI-assisted foundation design involves bearing capacity calculations, settlement predictions, pile capacity estimates, and ground improvement designs. InferTrust™ seals each analysis with the geotechnical parameters used (soil classification, shear strength, compressibility, groundwater conditions), the design methodology, and the resulting foundation recommendations. During construction, pile installation monitoring AI, proof load test evaluations, and ground improvement verification create additional sealed records that link to the original design analysis.
Differing site conditions are among the most common and expensive construction claims. When actual conditions differ from what was represented in the geotechnical report, the resulting delays and cost overruns generate disputes. InferTrust™ AEC provides verifiable records of what subsurface data the AI analyzed, what predictions it made, and what the actual construction conditions revealed. This sealed record chain supports objective resolution of differing conditions claims rather than relying on after-the-fact interpretation of ambiguous reports.