Advancing Business and Engineering Insight Through Computational Modeling and Data Analytics

The Power of Computational Science Tailored to Your Unique Needs

Business Development

We help businesses integrate advanced computational solutions into everyday decision workflows, improving efficiency, reducing costs, and facilitating strategic choices. Our clients gain confidence knowing their decisions are supported by both insights and rigorous data science.

Engineering Design

We help scientists and engineers advance their designs by building custom simulation models that test concepts in a virtual environment. By evaluating design variations within a single model, we reduce repetitive trial‑and‑error and streamline the development process.

Our Solutions

Spreadsheets

Creating, organizing, and analyzing data in tabular format to perform calculations, visualize patterns, and manage data easily.

Statistical Analysis

Applying statistical methods and predictive modeling to uncover patterns, answer key questions, and forecast outcomes.

Machine Learning

Using established algorithms that learn from data to build predictive models and support integrated decision making.

Deep Learning

Utilizing large and complex data sets with neural networks to identify relevant key features and actionable insights.

Computer Aided Design

Using industry leading software to create 2D or 3D designs of products or processes for use in manufacturing or FEM analysis.

Finite Element Method

Evaluating design variations of a product or process by simulating physical phenomena in a controlled virtual environment.

Our Areas of Focus

Hospitality

Retail

Manufacturing

Chemical

Environmental

Mechanical

Recent Work

Nano-enhanced dialytic fluid purification is a new application of adsorptive nanomaterials that aims to revolutionize dialysis. In this application, a 2D model of the experimental process was created in COMSOL Multiphysics, a finite element method software, to study the process theoretically using computational fluid dynamics (CFD).

Analysis of the CFD model showed close agreement with experimental results and additional insights into the progress and mechanisms of the adsorption process were revealed. The authors and principal investigator were able to estimate differences in performance of their process using different conditions and also estimate changes in other parameters that were previously difficult to measure by experiment alone. The CFD modeling was verified by independent reviewers of the journal ACS Omega.

Start Your Computational Discovery Journey Today

Schedule a consultation to see how our computational engineers can help you streamline design, reduce costs, and improve operational efficiency.