Category definition
Learn how Engineering Intelligence connects process, automation, simulation and execution through structured and reusable engineering knowledge.
Engineering Intelligence is the structured use of engineering knowledge, semantics and automation to connect engineering disciplines and transform existing information into new engineering results.
AI-generated imageA P&ID, an ISA-88 model, a simulation model, PLC code and a recipe describe different aspects of the same plant. Engineering Intelligence connects their underlying context so information can be reused across the lifecycle.
Engineering information becomes machine-interpretable instead of remaining limited to isolated documents.
Relationships between equipment, functions, roles, tags and interfaces remain explicit.
Existing information can become the starting point for the next task and generate downstream engineering artefacts.
Changes and relationships can remain visible across disciplines, tools and project phases.
Questions answered
Short, factual answers to the questions engineering teams ask first.
Engineering Intelligence reduces the loss of context that occurs when information is manually transferred between engineering disciplines, tools and project phases.
Engineering Intelligence can use AI-assisted methods, but the category is broader. It combines structured engineering knowledge, semantics, standards, automation and software-assisted workflows.
Engineering Intelligence focuses on the knowledge and relationships required to create and reuse engineering results. A digital twin can be one application of connected engineering information, but it is not the full scope.
Typical disciplines include process engineering, automation engineering, simulation, recipe engineering, qualification and operational engineering.
Bring your engineering knowledge to life
See how Entellia can structure, connect and reuse the information you already have.
Book an Engineering Intelligence demo