Unlocking Business and Engineering Insights Through Computational Engineering and Data Analysis
Our professional team works with you to translate business development or engineering questions into computational models that can be used to extract data-driven insights.
MODEL. SIMULATE. DISCOVER.
Innovative Breakthroughs in Computational Science Curated for Your Unique Needs
Business Development
We help businesses utilize and incorporate advanced computational solutions in everyday decisions to improve efficiency, reduce costs, and accelerate the decision-making process. Our clients rest assured that their choices are backed both by intuition and real data science.
Engineering Design
We help engineers work through novel or existing designs by creating custom computer models to test their distinctive ideas in a simulated physics environment. Our engineers minimize the repetitive trial-and-error process of iterative design by analyzing desired variations within a given model.
Our Solutions
Machine Learning
Now Available
Generating and incorporating data specific to your business to create predictive mathematical models focused on growth.
Deep Learning
Coming Soon
Utilizing large and complex data sets with neural networks to extract relevant key features and actionable insights.
Computer Aided Design
Coming Soon
Using industry leading software to create 2D or 3D designs of products or processes for use in manufacturing or FEM analysis.
Finite Element Method
Now Available
Analyzing variations on a product or process design by testing physical phenomena in a simulated environment.
Our Areas of Focus
Business
Development
Hospitality
Retail
Manufacturing
Engineering
Design
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 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 an appointment and see how our computational engineers can help you delve into the details of your business or engineering design needs to save time, reduce cost, and improve process efficiency.