Operations Dashboard
Your Integrated Product Support command centre
Ingestion Pipeline
Upload legacy documents, run OCR and AI entity extraction, review with human-in-the-loop, and commit structured data to the knowledge graph. Supports PDF, images, and OEM data packs with Azure CU and Mistral engines.
Data Explorer
Interactive force-directed graph visualisation. Explore nodes, relationships, and entity properties across all S-Series data products.
Knowledge Discovery
AI-powered natural language search across the knowledge graph. Find data gaps and cross-spec insights.
Impact Analysis
Simulate engineering changes and trace cascading effects across the knowledge graph with risk assessment.
Content Studio
AI-powered S-Series document generation — data modules, FMECA, task cards, training, and more.
Data Products
Browse and manage committed data products. View structured entity data, graph statistics, and export to JSON or S1000D XML.
Settings & Configuration
Configure AI services, OCR engines, API keys, connection settings, and manage session data.
Ingestion Pipeline
Guided workflow — configure, process, review, and commit
Drop documents here
PDF, PNG, JPG, TIFF — legacy manuals, LSAR exports, OEM data packs
Pipeline will show progress here when processing begins
Source document preview will appear after processing
OCR text with confidence heatmap will appear here after processing
Entities will appear here after pipeline processing
Relationships between entities will appear here
Review summary will appear here after completing entity and relationship review
Complete the review step to enable graph commit.
Data Explorer
Browse committed data products and explore the knowledge graph
Node Details
Click a node in the graph to view its details and connections
Tabular view of knowledge graph nodes
Load a dataset to view structured data
Knowledge Discovery
Intelligence workbench for SQEPs — search, explore, and extract insights
Impact Analysis
Propose changes, analyse ripple effects across S-Series specifications
Propose a change to analyse impact
The Impact Radar analyses changes across S-Series specifications and visualises ripple effects through your knowledge graph.
Content Studio
AI-powered S-Series document generation and authoring
Data Module
Technical publication with DMC codes, content sections, and mandatory S1000D elements
Parts Catalogue
Illustrated parts breakdown with NSN assignments, figure references, and QPA data
FMECA
Failure Mode, Effects and Criticality Analysis with RPN scoring and risk matrices
Task Card
Maintenance procedure with safety warnings, prerequisites, step-by-step instructions, and sign-off
Training Module
SADL training module with learning objectives, performance standards, and assessment criteria
Provisioning
Material management catalogue with NSN, part numbers, source codes, and demand rates
Condition Report
In-service condition monitoring with parameter trends, thresholds, and recommended actions
Generation Context
Document Preview
Select a template above and provide context to generate content
Business Rules Engine
Configure validation rules, naming conventions, and compliance standards
Naming Convention Rules
Visual Rule Builder
PreviewSettings
Backend service health, OCR engine configuration, and platform preferences
Backend Server
FastAPI backend for OCR pipeline, graph store, and AI chat
Service Health
Live status of Azure services configured on the backend
AI Preferences
Model behaviour for Co-Pilot chat and analysis features
Manual API Keys (Local Development Only)
Override backend credentials with browser-stored keys for local testing
Golden State Test Data
Load the HMS Daring Type 45 demo dataset alongside your live data
Data Management
Clear session data, reset pipeline state, or reload demo data