CairnFeatures
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AI-NATIVE MBSE

Cairn Features

Structured tools for turning rough physical-system ideas into traceable engineering models.

Cairn's features are organized around the jobs early systems engineers actually need to do: decompose the system, generate requirements, trace relationships, model behavior, and review AI-proposed changes.

Core workflow

Start with these

  1. 1AI system decomposition
  2. 2Requirements generation
  3. 3Requirements traceability
  4. 4State machine generation
  5. 5Reviewable ChangeSets
Feature

AI system decomposition for early engineering models

Cairn helps engineers turn rough physical-system ideas into structured system trees with systems, subsystems, assemblies, parts, requirements, interfaces, and traceability.

Input: A rough system ideaInput: A product conceptA hierarchy of system nodesSuggested subsystem boundariesCandidate assemblies and parts
Feature

AI requirements generation that stays connected to the model

Generate structured engineering requirements from system descriptions, with rationale, priority, acceptance criteria, and links to the model elements they describe.

Input: A system or subsystem descriptionInput: Existing design notesFunctional, performance, interface, environmental, constraint, and safety requirementsRequirement titles and descriptionsRationale for why each requirement exists
Feature

Requirements traceability before the model gets too big to understand

Cairn helps engineers connect requirements to model elements, verifications, and trace links so early systems work does not disappear into spreadsheets and documents.

Input: Requirements attached to model nodesInput: Verification intentRequirement ownership by nodeTrace links such as satisfies, implements, verifies, derives, and depends_onVerification coverage
Feature

AI-assisted state machines for physical system behavior

Model system behavior with node-scoped states, transitions, guards, actions, and timing annotations generated from early engineering context.

Input: A node or subsystemInput: Known operating modesStates scoped to a node or subsystemInitial, normal, and final statesTransitions between states
Feature

Reviewable AI ChangeSets for engineering models

Cairn records AI and manual edits as ChangeSets so engineers can review, accept, reject, and trace how a model changes over time.

Input: AI-assisted model operationsInput: Manual editsChangeSet summariesAuthor metadata for user or AI editsCreate, update, and delete operations
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