We rapidly generate computational prototypes of predictive analytic solutions for our customers to use in making longer-term decisions about investments and resource allocation.
We Build Tailored Models
When we build a model, we tailor it to your unique needs; we won’t impose a template on your operation. Our personnel are modeling and simulation experts at the Ph.D. level. We build highly useful, dynamic, and predictive models that allow you to view and assess the entire solution space at once. You will discover bottlenecks, cost drivers, and potential trade-offs that you most likely could not have foreseen without such a model, helping to keep your operation right-sized in real-world, dynamic conditions. In short, Veracity offers you the opportunity to understand the present, peer into the future, and perform “what-if” adjustments along the way––an opportunity for the best data-driven control of your entity you could ask for.
The Decision Support Process
We Use Powerful M&S Techniques
We combine state-of-the-art computational algorithms and techniques with extensive domain and operational experience to create powerful models and simulations.
We employ a number of M&S approaches, such as
- physics-based models
- computational decision aids
- stochastic and deterministic simulations
- discrete event simulations
We produce prototype and proof-of-concept simulations as well as formally developed enterprise solutions, maintained under rigorous configuration control.
We Build Custom M&S Tools
We have a solid history of providing M&S using a number of computational platforms, including standalone solutions for personal computers, web-based client-server systems, and massively parallel simulations implemented on open cluster systems.
We produce software products using programming languages such as Python, R, FORTRAN, C/C++, JavaScript, OpenMPI and operating systems such as Windows, MacOS and Linux, based on our client’s needs.
We Excel at Rapid Prototyping
Complex modeling tasks often do not lend themselves to pre-existing, standardized M&S capabilities. In these cases, the simulated processes may, by nature, demand sophisticated and complex algorithms that have not been previously demonstrated. In such cases, we efficiently develop new methods and capabilities to demonstrate that the modeled process can be used successfully with computational algorithms and techniques. We develop and validate input data sources (authoritative where possible), implement software-assisted workflow processes, produce prototype software, and generate output data for operations analysis or decision support.
We Strictly Abide by Configuration Management Standards
Veracity employs rigorous configuration management control in all development activities, for software code as well as data sources. We define standardized processes and procedures for software development practices, including rigorous coding standards for all software architectures implemented.
Meet Modeling and Simulation Expert Ryan Monson
Ryan Monson is Veracity’s Director of Modeling and Simulation. He has been designing and writing predictive models and performing quantitative and statistical analysis for Department of Defense and NASA customers for the past 10 years. Throughout his career he has focused on building models that provide reliable and actionable information related to utilization and life expectancy of valuable assets. He accomplishes this by building models at the correct “depth”: not so shallow that relevant and critical information is ignored (e.g., simple regression models), nor too deep that the models are unworkable or unnecessarily complex (e.g., academic and other studies that exist for themselves).
Ryan holds a B.S. in physics, an M.S. in materials science, and is finishing his Ph.D. in materials science through the California Institute of Technology.
Learn more about Veracity’s Physics-Based Modeling of Solid Rocket Motor Propellent for the USAF.