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Data Context Hub (DCH)
Engineers model their domain ontology on DCH - no code, just the concepts and relationships they already know. The system builds a living, governed knowledge graph across PLM, ALM, ERP, CAD and beyond.
1. Data Intake
DCH connects to all your engineering sources - PLM, ALM, ERP, FMEA, requirements, documents, data lakes. Structured and unstructured, on-prem or cloud. No custom pipelines.
2. Ontology Modeling
Engineers model their domain directly on DCH - no code. Entities, relationships, business rules - defined by the people who understand the data, not by IT.
3. Knowledge Graph Creation
DCH instantiates the ontology into a living, governed knowledge graph - continuously synced with your source systems and ready to query.
4. Context Retrieval
The precise context for every question, on demand - entities, relationships, lineage.
Select to explore
Intake
Revolutionizing Data Integration
Transform the way you handle data with the DCH Context Layer. This advanced tool provides a rich, web-based integrated development environment, tailored to empower tech-savvy domain experts in creating and defining target entity models. It simplifies the process of establishing relationships between objects, making data modeling accessible and efficient.
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Context
Simplifying Complex Data Modeling
Transform the way you handle data with the DCH Context Layer. This advanced tool provides a rich, web-based integrated development environment, tailored to empower tech-savvy domain experts in creating and defining target entity models. It simplifies the process of establishing relationships between objects, making data modeling accessible and efficient.
Get in touch
Delivery
Empowering Insight Through Contextualized Data and AI Integration
The Delivery layer of the Data Context Hub provides powerful access to contextualized information through an integrated knowledge graph, allowing users to fully understand the context of specific data points. This layer serves as the foundation for seamless integration with generative AI models, enhancing insights and decision-making capabilities.
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Model Your Ontology
Engineers model the engineering reality directly on DCH - no code, no graph DB experts. Entities, relationships and business rules, defined by the people who understand the data. The output: a living, governed ontology that powers everything downstream.
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Explore Your Knowledge Graph
DCH instantiates the ontology into a living, governed knowledge graph - continuously synced with your source systems. Navigate entities and relationships visually, or query the precise context for every question. Ready for AI agents, applications and your engineering teams.
One context layer. Every engineering team.
The Data Context Hub turns fragmented engineering data - across PLM, ALM, ERP, CAD, requirements, FMEA and documents - into one governed knowledge graph that every team can query.
That shared foundation changes how engineering organizations work:
That shared foundation changes how engineering organizations work:
- Systems engineers trace requirements → design → simulation → operation across every tool, in seconds - not weeks.
- Program leads see real program health: dependencies, risks, change impact - instead of stitching exports from five systems.
- Quality, safety and FMEA teams connect failure modes, hazards and design decisions across the full V-cycle.
No more data silos. No more disconnected tools. One queryable engineering context layer.
