Engineering Knowledge Graph

Software engineering
knowledge,
modeled as a graph.

EngraphSW is an engineering workspace where requirements, architecture decisions, risk, and estimation exist as interconnected artifact nodes — traceable, analyzable, and AI-assisted.

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Private alpha · Engineering teams only

SDLC CANVAS · Engineering Project Alpha
traces_topropagates_toinformsREQUIREMENTSFunctional RequirementsUSER STORIESUser StoriesRISK ANALYSISRisk AnalysisARCHITECTUREArchitecture Decisions

The Problem

Engineering knowledge is scattered.

Requirements live in documents. Architecture lives in wikis. Risk lives in spreadsheets. Estimation lives in email threads. None of it is connected. None of it is traceable.

EngraphSW models every artifact as a typed node and every relationship as an edge — making your engineering knowledge graph the system of record.

Capabilities

◈

Artifact Nodes

Engineering entities with semantic structure.

Requirements, architecture decisions, risk analyses, and estimation nodes carry structured fields and dependency references — not plain text documents.

⇌

Traceability Graph

Every artifact traces upstream and downstream.

Know which requirements drive which architecture decisions. Know which risks stem from which dependencies. The graph enforces traceability that documentation cannot.

◎

AI-Assisted Analysis

Reasoning augmentation, not autonomous authority.

AI generates and validates artifact content as a structured analysis layer. Every output is reviewable, every suggestion is editable. You remain in control.

Artifact node types

Functional Requirements
User Stories
Risk Analysis
Architecture Decisions
Function Point Analysis
Estimation

Model your first engineering artifact graph.

EngraphSW is in private alpha. Engineering teams can request access below.

Request access