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Industrial knowledge graph

Extract data relationships, capture interconnections, and trace data lifecycles in a flexible knowledge graph that adheres to industry data standards and represents your operations digitally. 
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Go from search to discovery
When there are 100s of data sources and countless name conventions, searching can be tedious speaking their own languages. Discovering related data instantaneously will help you leap from antagonizing searches to discovering insights.
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Understand relationships
And not just tables. The relationships often matter more to the answers we seek than the data entries they connect. Understanding our processes and systems requires understanding our data real estate in its context.
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Better industrial AI initiatives
Knowledge graphs help operationalize your data science, artificial intelligence, machine learning (AI/ML), and Internet of Things (IoT) initiatives.


An open, flexible, and labeled property graph data model that represents your operations

High-frequency time-series sensor data, knowledge hidden in documents, visual data streams, and even 3D and engineering data to describe the physical environment to a domain expert - Cognite Data Fusion is built for scale at its core. It liberates the data that’s been locked in different systems and applications and makes it meaningful and manageable.

Read guide: Why industrial digitalization needs data fusion & contextualization?

Recognized by the industry leaders and research community

What independent voices say about the value of data contextualization in populating the industrial knowledge graph


Industrial DataOps: IoT Optimized Data Empowering Engineers to Operationalize Data at Scale

“Data workers can leverage Cognite's flexible industrial knowledge graph to model data across IT and OT processes and use the platform's AI-based contextualization service to link and infer relations between data.”



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Contextualized Data and Digital Twins Amplify Digitization Value

“Digitalization success hinges on providing data scientists and developers with access to contextual, meaningful data at their moment of need.”


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Cognite Data Fusion provides contextualization of operational asset data to increase ease of data analytics

“CDF uses a combination of machine learning, rules engines, and subject-matter expertise to create a pipeline of data tagging and labeling so that CDF knowledge graphs are automatically populated.

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