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Use Cases

Work In Progress

Where knowledge graphs create business value.

If the projects section is the technical proof, this is the business case: what a knowledge graph is actually worth to an operating business, by industry.

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SUPPLY CHAIN INTELLIGENCE

Predictive Procurement & Supplier Risk Graph ↗

BUILT ON:→ GRAPH ML→ KNOWLEDGE GRAPHS
SUPPLY CHAIN INTELLIGENCE →Mitigates supply bottlenecks by mapping complex global supplier dependencies in real-time.

R&D DOCUMENT DISCOVERY

Accelerating Hypothesis Generation with Temporal KG ↗

BUILT ON:→ TEMPORAL KG→ RAG→ LLMS
R&D DOCUMENT DISCOVERY →Synthesizes thousands of clinical trials into a queryable semantic network for faster drug discovery.

INDUSTRIAL DIGITAL TWIN

Governed AI Agents for Automated Manufacturing ↗

BUILT ON:→ MCP→ ONTOLOGY→ AGENTS
INDUSTRIAL DIGITAL TWIN →Allows autonomous agents to query real-time sensor data while strictly adhering to ontological guardrails.
Cross-Enterprise Interoperability

Enterprise Interoperability Through Provenance-Backed Exchange

Using a messenger ontology and PROV-O to let independent systems and teams exchange data without agreeing on a single internal model.

InteroperabilityProvenanceCase Study
Supply Chain

Supply Chain Traceability with Knowledge Graphs

How an ontology-governed knowledge graph turns scattered supplier, shipment, and compliance data into a single traceable answer: where did this come from, and can we prove it?

Supply ChainProvenanceCase Study
Warehousing & Logistics

Warehousing & Inventory Governance via Ontology

Replacing ad hoc warehouse data models with a shared ontology so inventory, location, and capacity data stay consistent across sites and systems.

WarehousingData GovernanceCase Study
Document Automation & Compliance

KG-Backed Document Intelligence

A future use case for combining ontology-governed extraction, SHACL validation, and LLM-assisted review.

SHACLLLMsDocument AI
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