Lonestar Space Model-Based Systems Engineering

Lonestar Space Mission Context

Lonestar Space's objective is to build resilient, sovereign data storage, AI infrastructure, and orbital data embassies for the world's most critical information. This partnership serves that mission by providing a workforce pipeline, a curriculum validation environment, and an applied research testbed for space-based systems engineering.

Technical Foundation: Model-Based Systems Engineering

• Magic Systems of Systems Architect (enterprise MBSE tool built on the MagicDraw platform, Dassault Systèmes) serves as the modeling backbone for the StarVault architecture.
• Universal Machine Control (UMC): The open-architecture philosophy behind early UMC work was conceived to unify the design, configuration, and programming of machine control systems. Previous approaches treated those systems as fragmented, vendor-specific concerns. Magic Systems of Systems Architect plays a similarly unifying role for system-of-systems design, providing a standardized modeling layer that decouples system architecture, configuration, and interface definition from any single deployment's implementation details, so the model itself becomes the portable, authoritative design artifact across StarSafe, StarDrive, and StarAI regardless of the specific hardware or orbital context.
• Build out the model: the joint MBSE model of the StarVault architecture is the central technical artifact of the collaboration — students construct and refine this model in Magic Systems of Systems Architect as their primary deliverable, representing the StarVault system's structure, interfaces, and behavior across the three layers below.

StarVault Architecture

• Sovereign Resiliency as a Service – RaaS is an independent backup framework designed to keep critical operational data accessible if terrestrial-based infrastructure fails. Sovereign RaaS solutions are explicitly built to comply with international data-sovereignty regulations while residing outside normal terrestrial borders.
• StarVault - Secure, hardened storage and edge-processing platform deployed for sovereign RaaS applications. StarVault provides terabyte- to petabyte-scale sovereign capacity and onboard edge compute for integrity validation and encryption orchestration.
• StarSafe – Provides operational continuity layer embedded within each StarVault to enable rapid restoration without sacrificing sovereignty. 
• StarDrive – Provides secure edge-computing layer embedded within each StarVault to enable customers to execute applications directly in space while leveraging data stored within StarSafe.
• StarAI - AI layer embedded within each StarVault which enables organizations to deploy and operate Small and Sovereign Language Models, knowledge graphs, and intelligent agents directly in space.

Educational Component

• MBSE model artifact: students build out the StarVault model in Magic Systems of Systems Architect as their core technical deliverable — this is the anchor artifact for the course integration (Computing in Spaceflight or HLS are the natural homes given the MBSE/edge-compute/AI stack).
• Use cases developed against the SMART framework: students define and scope use cases for the StarVault architecture (e.g., a StarAI-based application, a StarDrive edge-compute scenario) using Specific, Measurable, Achievable, Realistic, Timely criteria. The use cases are the deliverable that gets SMART-evaluated, not the learning objectives themselves.

Deliverables

• MBSE Model of the StarVault Architecture: A working model built in Magic Systems of Systems Architect representing the StarVault system's structure, interfaces, and behavior across the StarSafe, StarDrive, and StarAI layers. 
• SMART-Scoped Use Cases: A set of use cases developed against the StarVault architecture (e.g., a StarAI-based application, a StarDrive edge-compute scenario), each defined using Specific, Measurable, Achievable, Realistic, Timely criteria. These use cases inform and are informed by the MBSE model.
• Course Integration: Incorporation of the MBSE model-building and use-case development into the Computing in Spaceflight course at the University of Notre Dame, giving students direct, applied engagement with the StarVault architecture.
• Joint Documentation: A summary report of the model, use cases, and findings, produced jointly by Notre Dame and Lonestar Lunar for internal review. This serves as the record of the collaboration's technical output and a reference point for any future phases of the partnership.
• Dissemination: Where appropriate, findings from the model and use-case work are shared through existing channels already established for related efforts, such as ChipsHub/NanoHub, IEEE Space Computing Conference, or ACM SIGCSE, subject to any confidentiality or sovereignty considerations specific to Lonestar Lunar's data and infrastructure focus.