Semantic Engineering Framework

Reqvire

Build verifiable and traceable software.

Model ontologies, capabilities, requirements, and verifications in Git, with traceability and engineering context built in for humans, AI agents, and modern engineering workflows.

Semantic Engineering Framework

Reqvire is a semantic engineering framework that turns requirements, capabilities, ontologies, verifications, and code into connected engineering knowledge.

Ontologies define domain concepts, relationships, vocabulary, and semantic meaning.

Capabilities describe coherent operational, product, business, regulatory, or system abilities.

Requirements define implementable obligations, constraints, guarantees, and behavioral expectations.

Refinements turn requirements and capabilities into precise engineering contracts.

Verifications provide evidence that requirements and capabilities are satisfied.

Implementation artifacts connect the model to code, tests, proofs, and generated evidence.

Semantic engineering model structure

Unlike traditional requirements tools, Reqvire treats engineering knowledge as a connected, versioned model rather than disconnected documents. That knowledge stays reviewable, queryable, and aligned with the codebase.

Where Reqvire Sits

Reqvire naturally sits between:

SysML and MBSEKnowledge graphsSemantic engineeringContext engineeringAI-native development infrastructure

Key Capabilities

Six core capabilities that make Reqvire a complete semantic engineering framework.

Semantic Engineering in Git

Keep engineering knowledge versioned, traceable, reviewable, AI-readable, and semantically connected alongside implementation artifacts.

Capability-Driven Engineering

Develop systems around coherent operational capabilities instead of disconnected feature lists. Capabilities decompose hierarchically and remain stable across implementation changes.

Ontology-Driven Engineering

Bring semantic vocabulary and domain meaning directly into the engineering workflow. Ontologies make terminology explicit, reusable, and visible to humans and AI systems.

Specification-Driven Development

Develop from capabilities and requirements while keeping implementation, architecture, tests, and verification artifacts aligned with engineering intent.

Automated Traceability

Maintain links between ontologies, capabilities, requirements, refinements, code, tests, proofs, and verification artifacts.

Verification & Validation

Track verification coverage, behavioral correctness, implementation alignment, and validation evidence throughout the lifecycle.

Automation

Reqvire can generate:

Model diagrams and structural views
Traceability reports
Verification and implementation coverage reports
Change impact reports
Submodel and coupling analysis
Semantic ontology exports
Interactive Explorer UI
MCP tools for AI assistants

Next Steps

Reqvire

Build verifiable and traceable software.

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