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Use Cases

Work In Progress

Where knowledge graphs create business value.

The business case for knowledge graphs, by industry. Early sketches, with fuller write-ups coming soon.

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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.
OEMTIER 1 TIER 2TIER 3 risk path

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.
t0TIMEtn hypothesis

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.
Agent SENSOR STREAM ONTOLOGY SHACL gate conforms → write violates → blocked

Supply Chain Traceability with Knowledge Graphs

The supply chain industry spent thirty years solving movement and missed meaning. Why traceability fails past tier one, what FAIR-aligned knowledge graphs fix that ERP and blockchain could not, and why the 2026-2028 regulatory window is the moment to act.

20 min read
Supply ChainProvenanceFAIR Data

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.

1 min read
InteroperabilityProvenanceCase Study

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.

1 min read
WarehousingData GovernanceCase Study

KG-Backed Document Intelligence

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

1 min read
SHACLLLMsDocument AI
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