Speaker
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Nick Dayal PE, PMPManaging Partner | The Geotech Guys LLCNishant “Nick” Dayal, PE is the founder and principal engineer of The Geotech Guys (TGG), a Richardson, Texas-based geotechnical engineering and construction materials testing firm. With 24+ years of experience spanning geotechnical investigation, CMT program management, and infrastructure delivery, Nick has led projects for municipal clients, transportation agencies, energy developers, and institutional owners throughout the Texas and the US.
Nick holds a BS in Civil Engineering from the National Institute of Technology (India), an MS in Civil Engineering from the University of Cincinnati, and an MBA from the University of Texas at Austin. He is licensed as a Professional Engineer in Texas.
A practicing engineer at the intersection of geotechnics and emerging technology, Nick developed TGG’s GeoAI Platform — a proprietary and integrated tool for subsurface data synthesis, anomaly detection, design computations, and accelerated reporting — and the PSEReviewAI Platform for automated construction document review. His work in applied AI for geotechnical practice reflects a broader conviction that data-driven workflows can meaningfully improve both the speed and rigor of engineering deliverables.
Beyond his practice, Nick serves as Chair of the ASCE Texas Geotechnical Institute (TXGI) for 2024–2026 and was instrumental in the inception of Texas Geotechnical Conference, which launched in San Antonio in 2025 as a dedicated annual forum for advancing geotechnical practice across Texas.
Local Time
- Timezone: America/New_York
- Date: Sep 17 2026
- Time: 11:30 AM - 12:30 PM
GeoAI: An Intelligent Automation Platform for Geotechnical Data Processing, Subsurface Modeling, and Report Generation
Geotechnical engineering practice remains disproportionately labor-intensive at the data processing layer. From raw boring log digitization to subsurface profile interpolation to final report production, the workflow between field investigation and deliverable output is dominated by manual, error-prone transcription that consumes engineering time without adding interpretive value. GeoAI is a purpose-built artificial intelligence platform designed to automate this workflow end-to-end, from boring log ingestion to PE-sealed design reports.
This presentation describes the architecture and technical implementation of GeoAI, a platform organized into integrated modules spanning data characterization, design computation, and report production. The Subsurface Characterization Engine handles boring log parsing — automated extraction of TCP (Texas Cone Penetrometer) and SPT-N blow count data, parenthetical value handling, lab data identification, and measurement mode switching — and uses the parsed data to interpolate stratigraphy between investigation points, producing visual cross-sections that would otherwise require manual drafting. The Design Module performs standard geotechnical computations across foundations, retaining structures, slopes, and pavements. The Design Report Module assembles computed parameters, tabular summaries, and classifications into structured narrative deliverables compliant with agency and client formatting standards, reducing report production from days to hours.
GeoAI represents a new class of engineering automation tools: domain-specific, deterministic where engineering correctness demands it, and designed to augment — not replace — the judgment of licensed geotechnical engineers. The implications for practice efficiency, data quality, and small firm competitiveness are significant, and will be discussed within the broader transformation of civil engineering technology adoption.
