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Technical capabilities

Systems engineering and assurance, organized around the problem.

Five capability areas combine as needed—from one bounded assessment to an integrated, testable technical work package.

Discuss a technical needCompare Technical SprintsDownload capability statement (PDF)

Five capabilities

Built to work together.

01

Systems Engineering & Integration

Define requirements, interfaces, architectures, and integration boundaries.

OutcomeA documented technical baseline and a practical integration plan.

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Scope, evidence & related Sprints
  • Requirements and interface engineering
  • Architecture and trade studies
  • System integration and technical baselines
  • Configuration and change assurance

Example technical question

  • Which requirements, interfaces, and dependencies control the technical outcome?

Example deliverable

  • Traceable requirements and interface definitions
Related SprintsRapid Prototype SprintCyber-Physical Systems Assurance Sprint
02

OT/ICS, FRCS & Cyber-Physical Security Engineering

Assess system interfaces, hazards, and security requirements in operational technology and facility systems.

OutcomeAn assurance and verification plan that addresses safety and operational constraints.

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Scope, evidence & related Sprints
  • OT/ICS and FRCS architecture review
  • Cyber-physical interface and hazard analysis
  • Security requirements and assurance cases
  • Verification planning without unauthorized operational changes

Example technical question

  • What assets, interfaces, operators, and authorities belong inside the system boundary?

Example deliverable

  • A bounded architecture and cyber-physical interface model
Related SprintsCyber-Physical Systems Assurance Sprint
03

Verification, Validation & Technical Assurance

Define how acceptance will be assessed and produce traceable verification and validation evidence.

OutcomeDecision-ready findings with explicit limits and acceptance evidence.

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Scope, evidence & related Sprints
  • Verification and validation planning
  • Test and evaluation methods
  • Technical and evidence assurance
  • Reproducible qualification and evidence packages

Example technical question

  • What must be true for the system, model, or workflow to be accepted for its intended use?

Example deliverable

  • A documented acceptance basis and reproducible baseline
Related SprintsModel and Simulation Verification SprintAI Evaluation and Test Harness SprintCyber-Physical Systems Assurance Sprint
04

Digital Engineering, Modeling & Test

Use models, simulations, digital artifacts, and test methods to expose assumptions and uncertainty.

OutcomeReproducible analysis and test evidence for the next technical decision.

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Scope, evidence & related Sprints
  • Scientific modeling and simulation
  • Monte Carlo, optimization, and sensitivity analysis
  • RF, sensor, and technical data analytics
  • Digital-thread and test-artifact integration

Example technical question

  • What decision is the model, simulation, or test intended to support?

Example deliverable

  • Controlled analytical workflows and reproducible technical outputs
Related SprintsModel and Simulation Verification SprintRF and Technical Data Analytics Sprint
05

Applied Software, Data & R&D Methods

Apply software, data, AI evaluation, automation, and formal methods to bounded engineering problems.

OutcomeA technical tool or workflow, with tests, configuration notes, and documented use limits.

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Scope, evidence & related Sprints
  • Technical software and data workflows
  • AI-system evaluation and test harnesses
  • Formal methods and executable checks
  • Applied research prototypes and automation

Example technical question

  • What technical question should a prototype, workflow, or executable check answer?

Example deliverable

  • A working technical asset tied to one defined decision
Related SprintsRapid Prototype SprintAI Evaluation and Test Harness SprintRF and Technical Data Analytics Sprint

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We will help define the right scope.

Discuss a technical need