Less recreation
Reuse engineering knowledge instead of rebuilding it for every tool and project phase.
Engineering Intelligence for Process Industries
Entellia connects process engineering, automation engineering, simulation, recipes and engineering outputs in one continuous engineering environment.
What is Entellia?
Entellia is an Engineering Intelligence Platform for process industries. It structures and connects engineering knowledge so information created in one discipline can be reused in the next.
Process descriptions, PFDs, P&IDs, ISA-88 structures, automation models, simulation models, recipes and engineering outputs become part of one connected engineering flow.
Learn what Engineering Intelligence meansThe engineering challenge
Information is created in process engineering, recreated in automation, translated for simulation and transferred again into spreadsheets, specifications and code.
Reuse engineering knowledge instead of rebuilding it for every tool and project phase.
Keep structures, relationships, roles and semantics connected to the engineering information.
Generate downstream results from structured knowledge wherever supported.
One continuous engineering flow
Connected engineering
Instead of rebuilding information for every tool, phase and discipline, Entellia creates a connected engineering context that can become the source of the next result.
AI-generated imageEngineering workflows
Each workflow has a clear starting point, a defined engineering result and the ability to reuse knowledge created elsewhere.
AI-generated imageFrom process context and P&ID information to ISA-88 compliant module structures and (r)MTP-ready descriptions.
Explore workflow
AI-generated imageTurn structured process and ISA-88 models into automation structures, PLC-related artefacts and reusable outputs.
Explore workflow
AI-generated imageTurn existing drawings, lists and plant documentation into a connected engineering foundation.
Explore workflow
AI-generated imageUse existing engineering knowledge to make scope, complexity and expected effort visible earlier.
Explore workflow
AI-generated imageDevelop procedures, evaluate behaviour and prepare recipes using connected plant knowledge.
Explore workflow
AI-generated imageReuse engineering information for qualification-relevant documentation, traceability and testing.
Explore workflowOpen engineering ecosystem
Entellia’s underlying database structure is already organized around established engineering standards. Equipment, functions, procedures and relationships are represented with these models in mind—not labelled afterwards.
Defines physical and procedural models for batch control, including Units, Equipment Modules and Control Modules.
A machine-readable description of a process equipment module for modular process automation and orchestration.
The requirements-oriented counterpart to MTP, used to describe what a module must provide before the final implementation exists.
A platform-independent communication and information-modelling standard for interoperable industrial systems.
A standard and packaging format for exchanging and executing simulation models across compatible engineering tools.
Web-based interfaces that allow Entellia workflows and engineering information to connect with surrounding systems.
Planned support for standardized exchange of process plant and P&ID information.
Planned support for Asset Administration Shell representations in industrial digital ecosystems.
Process industries
AI-generated imageConnect ISA-88 structures, recipes, qualification information, modular production and automation engineering.
Explore industry
AI-generated imageSupport process engineering, modular plants, brownfield work, simulation and automation standardisation.
Explore industry
AI-generated imageStructure batch processes, recipes, modular equipment and reusable automation engineering.
Explore industryWorkflow-dependent potential
Entellia projects can target up to 50% faster time to market and up to 70% less engineering effort where the workflow, source data and project scope support it.
These figures are not guaranteed outcomes. Results depend on the starting information, target workflow and project conditions and should be validated against a defined reference process.Built from engineering practice

PAVIS contributes process and automation engineering experience. Semodia contributes expertise in semantic engineering models, modular automation, ISA-88, MTP and engineering software.
Together, this collaboration created Flow2MTP and the foundation for the broader Engineering Intelligence approach behind Entellia.
About the collaborationBring your engineering knowledge to life
See how Entellia can structure, connect and reuse the information you already have.
Book an Engineering Intelligence demo