Digital and Model-Based Engineering
Models, mission engineering, MBSE, simulation, and virtual integration expose problems before physical integration and connect decisions to evidence.
How We Work
ExistX applies a connected set of engineering approaches across four disciplines to reduce integration, assurance, lifecycle, and transition risk. Methods are how ExistX works. They are not additional capability disciplines, and they are not evidence.
Starting point
Every ExistX engagement starts from the same premise: advanced applied research may already exist for the hardest part of the problem. The methods on this page are how that starting point becomes, and remains, an operational capability.
Featured
Galois provides research; ExistX operationalizes. Two separate organizations, one governed pipeline: the structural reason ExistX never starts at zero.
Featured
The lifecycle approach that connects an approved technical baseline to mission fit, architecture, implementation, verification, deployment, and sustainment.
Methods with detail pages
Three methods currently carry enough public content for their own pages. Each states its approach, boundaries, and evidence path.
Models, mission engineering, MBSE, simulation, and virtual integration expose problems before physical integration and connect decisions to evidence.
Stable boundaries, replaceable components, defined interfaces, standards, conformance evidence, and appropriate technical-data and IP planning.
Formal verification, program analysis, automated verification and validation, test, independent review, and certification support selected proportionately to the property, mission consequence, boundary, and residual uncertainty.
Methods described here
These approaches are part of how ExistX works today. They stay described here until their content depth and approved examples justify dedicated pages. A method page is earned by substance, not by structure.
Components and technologies integrated before full-system test through prototypes, hardware- and software-in-the-loop environments, incremental demonstrations, and explicit readiness decisions.
Repeatable evidence generation automated while distinguishing test, analysis, proof, validation, and operational evaluation.
Contracts, data models, interfaces, standards, and conformance boundaries defined across components and systems.
Upgradeability, obsolescence, technical-data access, source-code and software rights, maintenance flexibility, configuration, provenance, and product support addressed early.
Method × discipline
Methods are cross-cutting by design: risk-based assurance applies to cryptographic implementations as much as to system integration; MOSA boundaries shape software and systems alike. The discipline pages show each method in its technical context.
Next step
The pipeline explains the relationship that makes operationalization credible: where the research comes from, who owns what, and where ExistX's engineering responsibility begins.
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