Inspiration
“Context is king in the world of AI.”
Across research, publications, and industry discussions, one theme consistently stands out — AI without context lacks true intelligence. To unlock the full potential of Industrial AI, we must ground AI solutions in process context.
Vision
Introduce Process-Aware Knowledge Graphs (PAKGs) that integrate process understanding directly into the Cognite Data Fusion (CDF) ecosystem. By capturing and structuring the interconnections, interdependencies, and material flows from Process Flow Diagrams (PFDs), we enable context-driven intelligence for Agentic AI solutions built on Atlas AI and CDF.
Core Capabilities
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System Model Extraction
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Automatically extract process metadata from P&IDs and PFDs (PDF/Image formats).
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This removes the dependency on CAD files, which are often unavailable or inconsistent.
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Process-Aware Knowledge Graph Generation
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Translate the extracted system model into a Knowledge Graph enriched with process semantics.
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Represent equipment, process streams, and control loops as nodes and relationships, creating a foundation for process discovery, reasoning, and autonomous insights.
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Value Proposition
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Enables Agentic AI systems to reason over process context.
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Accelerates ROI realization from Cognite solutions by improving AI explainability, traceability, and domain relevance.
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Lays the groundwork for next-generation Industrial AI applications — from automated root cause analysis to process optimization.
Ask
I propose enhancing CDF to support this capability natively, creating a bridge between engineering documentation and context-aware AI models.
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