Our software development engineers create tools that empower the modern workforce to tackle complex aerospace engineering challenges such as propulsion design, trajectory analysis, and program management. Leveraging intuitive user interfaces and rapid problem optimization techniques, our software solutions ensure clients have the right tools for the right people.
- Trajectory Optimization
- Propulsion System Design
- Aeroheating Analysis
- Joint-Confidence-Level Evaluation
- Expected Casualty Calculation
Custom Software Development
- Programmatic Tools
- Mobile Applications
- Web Development
- Statistical Analysis Tools
- Digital Platforms
SpaceWorks Software’s out-of-the-box engineering tools and custom software solutions provide modern tools for the modern workforce.
SpaceWorks has long maintained a core-competency in the field of engineering tool development, and has been funded for several multi-year efforts by the U.S. Department of Defense to create software tools for trajectory planning, aeroheating analysis, problem optimization, and much more. These custom development efforts help clients to rapidly address key engineering analysis deficiencies and improve their complex systems.
In addition to engineering tools, SpaceWorks also works with clients to create programmatic evaluation tools for functional team members that can improve project tracking, estimation, and reporting. Tools such as SMART, CoRAL, and TCASE (all developed for NASA), have become staples of the project management and cost estimation community across the aerospace sector and continue to provide valuable insights for improving project performance long after their initial adoption.
Underscoring SpaceWorks role as an innovator in the aerospace program management sphere, CaSCOM was one of the first ever developed Joint-Confidence-Level (JCL) modeling tools. Initially developed to assess joint cost and schedule confidence early in a projects life cycle, JCL was later adopted as a requirement by the OMB, and CaCOM remains one of the leading options for lightweight JCL analysis.