NSQ is a geotechnical and geostructural research and methods consultancy focused on the quantification of natural systems. We develop the methods, models, and technologies that improve how subsurface variability (in soils, groundwater, slopes, and the structures built upon them) is characterized and accounted for in geotechnical and infrastructure decisions.
Field and laboratory characterization of subsurface conditions (in-situ testing, remote and proximal sensing) scoped to the parameters that drive the decisions downstream.
Numerical, statistical, and geospatial frameworks that treat natural variability as information rather than error. Probabilistic and reliability-based approaches calibrated against measured performance.
Specifications, QA/QC protocols, data-management systems, and decision-support tools: the deliverables that carry a method from calibration into routine use.
Our work centers on subsurface characterization, slope behavior and stability, and MSE wall performance; supported by groundwater and seepage modeling, foundation characterization, soil stabilization evaluation, and the geotechnical data systems and reliability-based methods that carry results into practice.
NSQ develops the techniques and frameworks that improve how natural systems are characterized and accounted for in geotechnical and geostructural work.
NSQ was founded on a conviction that natural systems can be quantified; they obey physical law, they can be instrumented, and their behavior can be described with the same rigor applied to concrete or steel. The firm exists to advance the methods by which that work is done.
Geotechnical and geostructural work sits at the interface where natural variability becomes a quantification problem. Traditional approaches manage that variability through conservatism: factors of safety, empirical correlations, and assumed parameters applied across heterogeneous ground. That approach is safe, and it is expensive. It leaves performance on the table and it leaves risk unquantified.
Our work is to develop the methods, models, and technologies that close the gap: characterizing soil, groundwater, slope, and vegetation behavior directly, and calibrating analytical methods against measured performance. The results are translated into protocols, specifications, and frameworks the broader profession can adopt. Less ground taken on faith. More ground taken on evidence.
Our work serves state transportation agencies, federal research programs, universities, dam and levee owners, and licensed engineering firms who engage us for methods development and technical research. Our deliverables are technical reports, specifications, protocols, and tools: the infrastructure of better methods.
Where a parameter governs a decision, we work to measure it. Assumption is reserved for what cannot reasonably be measured, and is stated as such.
Natural heterogeneity is not a nuisance to be averaged away. It is a property of the system to be modeled, reported, and used to inform the analysis.
Every method, every number, every recommendation is delivered with the statement of confidence that earned it. Transferability depends on it.
Methods are matched to site conditions, not the other way around. A method that works in the lab is not a method until it works in the field.
Three capability areas, a toolset, and the clients we work with. Most engagements draw from more than one area.
Our work is organized around the quantification of natural systems (the soils, groundwater, and slopes whose behavior governs geotechnical and geostructural performance) and the translation of that quantification into methods and tools the profession can use.
Analytical and numerical methods for characterizing subsurface behavior (soil variability, stability, and seepage) developed, calibrated, and documented for use in practice.
Field instrumentation, data collection protocols, and long-term performance monitoring: for instrumented test beds, technology demonstration, and validation of analytical methods.
Software, data systems, specifications, and decision-support tools that carry methods into routine use: the deliverables that make a technique adoptable.
Productized capabilities built from NSQ's measurement and quantification work: instruments, pipelines, and data products that carry characterization into the field at scale.
Alongside our research and advisory work, NSQ develops technologies that turn measurement methods into repeatable systems. Each applies the same principle as that work: treat what is below and across the ground as something to be quantified directly and defensibly, then deliver that quantification in a form the profession can adopt.
A mobile, multi-sensor data-collection system that inventories a corridor’s geotechnical assets (retaining walls, slopes, and rockfaces) in a single pass at travel speed, with the potential subsurface utilities indicated by surface evidence flagged for verification.
View technology →RAIDR is a mobile, multi-sensor data-collection system that inventories a corridor’s geotechnical assets (retaining walls, slopes, and rockfaces) in a single pass at travel speed. Built on sensing proven in agricultural, transportation, and surveying systems, it delivers a georeferenced, screening-level record structured for agency GIS, with the potential subsurface utilities indicated by surface evidence flagged for verification.
Most agencies maintain rigorous inventories of their bridges and pavements. Far fewer can say how many retaining walls, slopes, or rockfaces they own: where they are, what they are made of, or what condition they are in. Geotechnical assets sit largely outside the inspection regimes that protect other infrastructure, and the records that do exist are scattered across districts, formats, and decades.
The conventional remedy is a manual inventory: crews, closures, and a snapshot that begins aging the day it is delivered. RAIDR exists to replace that snapshot with a repeatable measurement: a corridor record that can be re-collected as easily as it was collected.
Illustrative sample. RAIDR deliverables are screening-level inventories, not boundary surveys, condition ratings, or utility locates.
RAIDR is the screening and inventory layer: the pass that establishes what an agency owns, where it stands, and where to look closer. Every record is built to carry forward into the detailed work that follows.
What exists, where it is, and what surface evidence says about it: the starting point for prioritization, not the final word on condition.
Outputs drop into GIS and asset-management systems, giving geotechnical assets the same footing in the data as bridges and pavements.
RAIDR records give agencies and owners a current, georeferenced starting point for detailed condition assessments, design, and subsurface utility investigations: the corridor-wide context those efforts otherwise have to assemble first.
RAIDR does not depend on exotic hardware. It combines sensing technologies proven at scale in agricultural, transportation, and surveying systems, optimized and calibrated together so that a single vehicle, in a single pass, reads the corridor the way three industries already read theirs.
RAIDR is in active development, and its first deployments will be pilot corridors run with partner agencies and firms. A pilot is deliberately small (one corridor, one pass, one deliverable): enough to evaluate the record against what you already know.
The instrumented vehicle, the pass, the processing, and a finished deliverable in the formats your systems use.
A corridor of interest, access and permissions to drive it, and, where they exist, existing records to benchmark the deliverable against.
The georeferenced inventory for that corridor, a side-by-side comparison against existing records, and a direct line into what RAIDR becomes next.
The examples below are representative of geotechnical and geostructural work our staff have performed over the course of their careers, in many cases prior to or independent of NSQ and under other firms' professional licensure. They illustrate the methods and capabilities our team brings to research and advisory engagements.
An instrumentation and data-reduction methodology for evaluating MSE wall performance at the reinforcement-layer scale. Combined strain gauges, inclinometers, vibrating-wire piezometers, and distributed fiber-optic sensing into a unified protocol, with reduced-data results benchmarked against AASHTO LRFD design assumptions.
A workflow integrating transient seepage analysis with limit-equilibrium and finite-element slope stability computations, parameterized against inclinometer and piezometer records from instrumented embankments. Delivered as a documented modeling protocol with worked examples.
Development and implementation of a subsurface data platform consolidating historic boring logs, laboratory records, and instrumentation into a queryable system. Built the schema, ingestion protocols, QA/QC workflows, and export tooling, delivered alongside user documentation and adoption guidance.
A coupled consolidation and strength-gain framework for staged preload over soft glaciolacustrine clays: low-plasticity "rock flour" deposits characterized by slow drainage and significant sensitivity. Paired one-dimensional consolidation modeling with CPTu- and vane-shear-based strength assessments to predict settlement, track pore-pressure dissipation, and verify undrained strength progression under sequential load stages. Developed as a coordinated modeling methodology, with instrumentation and acceptance criteria and stage-readiness decision logic for a staged-construction program.
A transient groundwater modeling workflow for levee reach analysis under design flood loading, including piezometer-based calibration and spatial variability parameterization. Delivered as a methodology document with a worked example reach and recommended instrumentation specifications.
For project scopes, methodology questions, and teaming or collaboration inquiries.
Contact us to discuss a project scope, a methodology question, or a potential collaboration. We engage with clients across the United States and welcome teaming arrangements with licensed engineering firms, agencies, and research institutions who engage us for methods development and technical research.
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