The durable asset at the center
Unlike a database whose value is fixed once populated, the knowledge graph appreciates with age. Every new entity, relationship, event, and correction enriches the context around everything already present.
A world model, not a record store
The graph is built from four kinds of first-class objects. Together they represent not just what exists in the industrial economy, but how it is connected and how it changes.
Entities
Companies, systems, components, materials, technologies, processes, and equipment — every industrial object as a first-class node.
Relationships
Supplies, depends-on, competes-with, derived-from. The edges carry the meaning that turns a list into a network.
Events
Investments, acquisitions, contracts, filings, and disruptions — the changes that continuously reshape the graph over time.
Evidence
Every assertion is backed by a traceable source and a confidence value. Nothing exists in the graph without provenance.
Why the graph appreciates
A record store is worth what you put into it. A knowledge graph is worth the relationships between everything in it — and that value grows super-linearly as the graph fills in. Old context makes new signals more meaningful.
One entity, no matter the source
A material named three different ways across a filing, a contract, and a research report resolves to a single node — because the ontology defines the canonical vocabulary the graph is built on.
Start building on the graph.
The Industrial Knowledge Graph is the foundation every Cognitive Enterprise application is assembled on.