Build missile defense systems faster, prove they hold up under threat, and stay aligned with Golden Dome and Missile Defense Agency direction. One integrated environment ties together modeling, artificial intelligence, digital twin, and digital engineering training.
Through our Dassault Systemes partnership, VETS delivers significant discounts on software, environment hosting, training, and consulting that no other Golden Dome partner can match, backed by our commitment to fielding digital engineering at the speed of relevance.
See how AI powered modeling, simulation, and digital engineering workflows support Golden Dome mission assurance and speed up development across MDA programs. The session walks through real mission thread examples, not slideware.
Learn how AI augmented MBSE can cut integration time by as much as 50 percent, the scale of reduction model based development studies report, and see exactly where those savings come from, with a working mission thread you can follow end to end.
Golden Dome puts artificial intelligence and machine learning front and center. The Missile Defense Agency is pushing just as hard on digital engineering, open systems architectures, model based systems engineering, and agile processes across acquisition, development, fielding, and sustainment.
Missile defense has never been this complex. Systems are more interconnected and more time critical than they were a decade ago, and document based engineering simply cannot keep pace with fast moving threats, interoperability demands, or the resilience bar that Golden Dome sets.
Three companies, one integrated solution. VETS, LLC brings the model based systems engineering foundation, PixelRain AI brings the artificial intelligence, and Enola brings the training that makes adoption stick. You get a complete environment instead of a pile of tools to wire together yourself.
The managed model based systems engineering environment and the AxonDE GenAI tool at the center of the stack.
Advanced artificial intelligence and machine learning layered across the modeling workflow.
Build, manage, and analyze SysML models with full digital thread integration.
Model end to end missile defense scenarios, from sensor detection through interceptor engagement.
Keep distributed engineering teams working securely and in sync.
Built for defense grade compliance and flexible deployment.
The VETS GenAI powered MBSE tool. It automates routine modeling work and turns engineering questions into answers without leaving the environment.
FLAGSHIP TOOLRequirements, models, simulation, and field data stay connected in one authoritative source. When a threat or a requirement changes, the impact is traceable across the whole program instead of buried in a stack of documents. That is what keeps an MDA program defensible at every milestone.
A digital twin mirrors the real system so you can run threat scenarios, stress the architecture, and validate resilience long before hardware exists. Engineers see how a design behaves under Golden Dome conditions, find the weak seams early, and fix them in the model where change is cheap.
Every component maps to a concrete outcome: time removed from the schedule, risk pulled forward where it is cheap to fix, or an environment that stands up in seconds instead of months. The benchmark column shows published industry averages, which VETS will replace with its own verified pilot results.
| Component | What it does | Primary outcome | Industry benchmark |
|---|---|---|---|
| MBSE WorkspaceSysML // Digital Thread | Build, manage, and analyze SysML models with full digital thread traceability from requirement to verification. |
Time saved. One authoritative model replaces scattered documents, cutting rework hunting for the current truth. | ~55% lower production cost reported for defense and aerospace MBSE adoption vs paper based methods.3 |
| Mission Thread BuilderSensor → Interceptor | Model end to end missile defense scenarios and trace each thread against requirements and interfaces. |
Risk reduction. Gaps and timing failures surface in the model, not in a test event. | Defects caught at 1x, not the up to 100x they cost once found in production.2 |
| Collaboration HubDistributed Teams | Keep distributed engineering teams working on one model securely and in sync, with change visible to everyone. |
Time saved. Review cycles shrink when everyone works from the same live source. | ~50% faster development time reported for model based development.1 |
| Secure Data LayerDefense Grade | Compliance ready storage and access control built for classified and controlled program data. |
Risk reduction. Meets the security and configuration control expectations DoD oversight requires. | Built to CMMC 2.0 Level 2, which VETS holds, for controlled program data. |
| AxonDEGenAI Powered MBSE | Automates routine modeling work and answers engineering questions in natural language inside the environment. |
Deployment speed. A full digital engineering environment stands up in seconds, removing the IT cost and time burden. | Environment ready in seconds, not the months a stood up IT environment can take. |
Benchmark figures are industry averages from published research, not VETS measured results. 1 Model based development time reduction, case study literature. 2 NASA, NIST, and IBM relative cost to fix defects, up to 100x later. 3 Peer reviewed MBSE literature review, 2026, on defense and aerospace production cost. CMMC 2.0 Level 2 is a current VETS certification. VETS will publish its own verified pilot metrics as programs complete.
A single change to a requirement does not stay put. It moves through models, simulations, interfaces, and field data. The question is whether you find every downstream impact in hours, or discover it in a test event months later.
Decades of systems engineering research show the cost to fix an error climbing from one unit in requirements to as much as one hundred times that once it reaches production. At that multiple, a $10,000 fix in the requirements phase can grow past $1,000,000 if it is not found until production. A change a digital thread surfaces in an afternoon, but a document based program catches at a test event, is the difference between a minor model edit and a multi week rework with a schedule slip. These figures are illustrative; scale them to your own program when you present.
A representative mission thread in Axon Digital Forge, traced end to end. The model views below are stylized representations, not production screenshots.
Detect and classify a maneuvering reentry vehicle and commit an interceptor within the engagement window.
Requirement blockSysML structure and behavior models capture sensors, command and control, and the interceptor as one system of systems.
SysML block viewThe digital twin runs the thread against threat profiles and reports timing margin and probability of engagement.
Simulation outputInterface control documents are generated from the model, so a mismatch shows up as a flagged link, not a surprise.
ICD traceTest results link back to the originating requirement, closing the loop with full traceability.
Verification matrix • 4 of 5 verified, representativeThis is not a vendor opinion. The cost curve is well documented, and the Department of Defense has written digital engineering into policy.
An error caught in requirements costs roughly one unit to fix. The same error found in production can cost up to one hundred times more, per NASA and NIST and IBM research. A digital thread catches it at one.
DoD Instruction 5000.97, issued December 21, 2023, requires new acquisition programs to use digital, model based engineering with the digital thread as the authoritative source of truth.
Under 10 U.S.C. 4401, major defense acquisition programs must be designed with a Modular Open Systems Approach to the maximum extent practicable. MBSE is how you prove it.
The full reference set our models conform to, from the modeling languages themselves through life cycle, architecture, interoperability, measurement, and DoD policy.
Baseline your current tools, data, and the gaps against DoDI 5000.97. Pick one mission thread to prove value.
Stand up Axon Digital Forge and model that thread end to end. Capture the time and risk numbers as you go.
Onboard distributed teams, connect the digital thread across the program, and roll in AI augmentation.
Train the workforce with Enola, keep the twin current with field data, and feed results back into the model.
Sources: DoD Instruction 5000.97, Digital Engineering • DoD MOSA, 10 U.S.C. 4401 • NASA, Error Cost Escalation Through the Project Life Cycle • NIST and IBM Systems Sciences Institute relative cost to fix defects.
Click around a digital twin snapshot, then run a sensor to interceptor thread. These are teasers. The full environment and a live walkthrough come with the demo.
Tap any node to light up how it connects to the rest of Axon Digital Forge.
Pick an approach and run a simple sensor to interceptor thread.
VETS is the only authorized Dassault Systemes reseller that is a Service Disabled Veteran Owned Small Business. That lets us offer significant discounts on software, environment hosting, training, and consulting that no other Golden Dome partner can match, all aimed at fielding digital engineering at the speed of relevance.
We deliver the only best in class AI integration for MBSE, built into the environment from the start rather than bolted on after the fact.
The only patented rapidly deployable orchestrated environment for hosting digital engineering environments. Stand one up in seconds and eliminate the expensive IT cost and time burden that normally comes with it.
These are published industry findings that make the case for digital engineering. They are not VETS specific results. As programs complete, VETS will add its own verified metrics and releasable client quotes here.
Figures above are industry averages from published research; full sources are listed in the standards section. VETS will add its own verified case study and releasable client quotes here as programs complete.
Built and delivered by VETS, LLC, a Service Disabled Veteran Owned Small Business and a prime on the MDA SHIELD vehicle. CMMC 2.0 Level 2 and AS9100 / ISO 9001 certified, with an active Top Secret facility clearance and a certified Dassault Systemes partnership.
Tell us who you are and what you are after, and we will point you to the right starting point and a demo built around it.
Join the next live session to walk through real mission thread examples and AI powered modeling workflows you can put to work on your own program.