Bring on Tomorrow with Digital Engineering
We’re shortening the time it takes to share a vision and
turn design into reality with digital engineering. SAIC’s modeling, simulation, analytics, visualization, and collaboration tools ensure that the best engineering choices are made so your mission can go forward with confidence.
Bring on tomorrow
Advance Today is SAIC’s approach to thought leadership. Keep moving forward with our expert analysis of trending topics tailored to help you advance today and prepare for whatever comes your way tomorrow.
When time is of the essence and certainty is key, digital engineering can take your mission further. Using advanced technologies to digitally generate, curate, and share computable data, we can visualize and test billions of scenarios to get the operational truths needed for success. With digital engineering, you can adapt in days, not months, to take on whatever comes next.
In Your Hands Today
Tomorrow’s Engineering Solutions
Navigating the digital landscape can be difficult. Whether you are starting your digital transformation journey, are already implementing digital engineering, or are simply interested in learning more about digital engineering and best practices to help your team or customers, SAIC's digital engineering team has the knowledge and experience to get you headed in the right direction. We instill core digital engineering offerings that support the digital engineering ecosystem, architecture, design development and more, equipping customers for a successful digital engineering journey.
SAIC Digital Engineering Transforms Complex Systems Success
Have the right, interoperable mix
We integrate modeling and simulation, analytics and visualization, and collaboration tools your enterprise requires. Our semantic broker establishes data fluency with your customers and partners, weaving strong digital threads.
Benefit from these advantages when you tap into SAIC's digital engineering services
Keep your existing technologies
In your new digital engineering ecosystem, we integrate solution elements from the portfolio you already have, where they make most sense. We manage evolutionary changes in your enterprise portfolio as part of your digital transformation.
Use cutting-edge commercially
SAIC procures hardware and software from established, premier digital engineering vendors and configures and integrates solutions using open architecture techniques. Your digital engineering ecosystem is scalable and future-proof.
Get expert transformation advice and training.
Decorated and renowned experts in our consultancy service evaluate your processes, workforce, infrastructure, and technologies for your best paths forward. We offer both strategic planning and workforce training workshops.
Let us perform the digital engineering tasks.
SAIC provides fully managed digital engineering execution services. We use model-based systems engineering methodologies to perform life-cycle analyses of the systems impacting your mission, managing all of your digital models and artifacts.
Access SAIC's own tools
Organizations can use free, limited versions of our digital engineering tools, such as our semantic broker and model curator. Migrate to subscription-based full tools when ready. Get started below by downloading our free system model validation tool.
Intended for systems modelers, engineers, and users, our validation tool is a set of rules and customizations for the MagicDraw, Cameo Enterprise Architecture, and Rational Rhapsody modeling tools to guide teams to make uniform choices. The rules enforce style guides and language semantics, resulting in system content that's machine-readable for analysis tools. Review time for large system models is reduced to minutes.
Our free system model validation tool improves the quality of models
Go to Validation Tool
Let's join forces to turn today into a better tomorrow.
At SAIC, we're on a mission to create an empowering workplace where new skills and ideas are grown every day.
We team up with Holos Inc. from the Techstars Starburst Space Accelerator to work on AR/VR for JADC2.
SAIC Partners with Startup for Digital Engineering
Quantum is exponentially faster than traditional computers in tackling big data and probability challenges.
Quantum Computing, Networking Will Transform Data
New version 1.7 features failure models and effects, as well as more automated rules.
Popular Digital Engineering Validation Tool Now Supports Failure Analysis
Core DIGITAL ENGINEERING OFFERINGS
Production and manufacturing
Sustainment / model-based product support
Rapid deployable DE ECosystem (REadyONE)
DE Tools Federation and Broker
Searching for the right way to start?
Selecting the right tools?
Ready to get to work?
Time to upskill your workforce and leverage your data?
The Phases of Successful Digital Engineering
DARE (Digital Architecture and Requirements Engineering)
A full digital systems engineering solution that includes:
Digital transformation and the benefits of digital engineering require an understanding of where you are and where you need to go. SAIC's digital engineers evaluate your unique situation and understand your readiness to develop a customized roadmap to transform your organization for mission outcomes.
Now that you have a roadmap, SAIC’s digital engineers help you to architect, provision, install, configure, and manage the right tools that fit your needs.
Once the ecosystem is in place, with tools and an environment, SAIC will help you do the work. We wrap your program in hyper care by developing the processes, style guides, and other approaches needed for mission success.
SAIC trains and upskills your workforce at any stage of the digital transformation journey and captures data being collected for easy sharing to put actionable information in the right place at the right time in the right format for the right people.
Domain success will require collaboration, technology integration, and digital transformation.
The 3 Ingredients for Space Domination
Home > What We Do > Mission Support > Digital Engineering
MOdeling, Simulation, analysis and prototyping
Engineering design development
Digital Architecture and Requirements ENgineering (DARE)
Digital requirements engineering and management
Digital architectures via MBSE for SETA, SE&I, SID and development contracts
Digital IV&V artifacts and execution
Hands-On MBSE learning labs to upskill your workforce
Engineering Design Development
Our digital engineering approach to system design connects models across the electrical, mechanical and software domains to ensure alignment with requirements, enabling us to obtains better solutions faster.
Modeling, Simulation, Analysis and Prototyping
Modeling, Simulation, Analysis and Prototyping enables cost avoidance and reduces development timelines by iterating digitally rather than physically, providing risk mitigation and solution performance optimization.
Production and Manufacturing drives consistency and quality in repeatable assembly. Our solution extends the digital thread to the production floor to align the design data with the build data enabling SAIC to support our customer’s most complex production efforts.
Sustainment / Model-based Product Support
Model-Based Product Support addresses the largest system lifecycle cost, sustainment. Our solution integrates maintenance and sustainment solutions with the design process and monitors real world implementation to optimize.
Digital Twins tie real world data to modeling and sim artifacts to validate the assumptions in models and enable faster, more accurate decisions in operation.
DE Ecosystem (ReadyOne)
Cloud based pre-configured DE Ecosystem that takes only days to stand up instead of months
Web access via username and password (lowers barrier to entry)
Integrated tool chains that support a complete "pass” through the development lifecycle (Requirements through Sustainment)
Digital Engineering Ecosystems that are Ready on Day One – that offer:
(Digital Thread Backbone)
Enables “any tool, any digital thread” that digitally connects engineering and program data across requirements tools all the way through sustainment tools. Provides Product Lifecycle Management (PLM) that uses data models and a hub and spoke approach to connect data.