Solid Mechanics · Fluid Dynamics · Computational Audit

Expert-level analysis for systems where failure is not an option.

High-fidelity simulation, forensic investigation, and independent validation — delivered by experienced principals.

Structural inspection

Engagement

Principal-authored, start to finish

Disciplines

Solid & structural mechanics, fluid dynamics, heat transfer, multiphysics analysis

Standard

Defensible under design review, regulator, or counsel

Emerging

Validation of fine-tuned engineering LLMs

01 — Practice

Computational mechanics, held to a defensible standard.


50+

Years of combined experience

100+

Projects completed

We bridge advanced computational mechanics and real-world physical performance. Every model we deliver is built to survive scrutiny — from a client’s design review, from a regulator, or from opposing counsel.

Clients work directly with the principals. Nothing is passed down. That is the difference between a report and an opinion you can stand behind.

02 — Services

Distinct practice areas, one standard of rigor.

From root-cause forensics to physics-based validation and the emerging problem of auditing engineering AI.

Fluid Dynamics

Fluid Dynamics & Thermal Systems

Conjugate heat transfer, multiphase flow, and thermal management for data centers, process equipment, and energy assets.

STAR-CCM+ · Conjugate HT · Multiphase

Solid Mechanics

Solid & Structural Mechanics

Linear and nonlinear finite element analysis for static strength, impact, contact, large deformation, and material failure — correlated against published or client-supplied test data.

Fatigue & fracture · Seismic · Impact & crash

Forensics

Forensic Engineering & Expert Testimony

Independent audits of catastrophic structural and mechanical failures, with technical reporting built to survive cross-examination.

Failure analysis · Litigation support · Third-party review

Computational

Computational Practice & AI Audit

Python-driven simulation pipelines, plus independent validation of fine-tuned language models used for engineering judgment.

Python · Model validation · Pipeline QA

Systems

Multiphysics System Analysis

Simulate complex real-world physics to eliminate design failures, cut prototyping costs, and accelerate your product’s time-to-market.

Modelica · Python · System-level coupling

Optimization

Design Optimization & Digital Twins

Automate the engineering design and decision process with a calibrated digital twin, so performance is maximized before anything is built.

Digital twin · DOE · Surrogate models

03 — Insights

Technical notes

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