Data Interoperability
The ability to exchange and use data between different software systems seamlessly.
Definition
Data Interoperability in AEC refers to the ability to seamlessly exchange information between different software platforms—BIM tools, project management systems, cost databases, and more. AI enhances interoperability by automatically mapping data between different formats, cleaning and normalizing information, and maintaining data consistency across systems. This enables integrated workflows that leverage AI across multiple platforms without manual data transfer.
In Depth
Data interoperability in AEC means the ability to move information between software platforms without losing meaning or requiring manual reformatting. AI helps bridge interoperability gaps by translating between data formats, mapping between different classification systems, and resolving naming and terminology differences.
The practical interoperability challenge is that every software platform uses its own data model. A door in Revit has Revit-specific parameters, a door in the specification has CSI-formatted attributes, and a door in the facility management system has FM-specific fields. AI maps between these representations, understanding that the "Fire Rating" parameter in Revit corresponds to the fire-resistance rating specified in Section 08 11 00 and the fire rating field in the FM database.
Examples
Automatically syncing schedule data between Primavera and project management platforms
Mapping cost data between estimating software and accounting systems
Converting between different BIM file formats without data loss
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use data interoperability across your existing project data:
Frequently Asked Questions
Data Interoperability in AEC refers to the ability to seamlessly exchange information between different software platforms—BIM tools, project management systems, cost databases, and more. AI enhances interoperability by automatically mapping data between different formats, cleaning and normalizing information, and maintaining data consistency across systems. This enables integrated workflows that leverage AI across multiple platforms without manual data transfer.
Automatically syncing schedule data between Primavera and project management platforms. Mapping cost data between estimating software and accounting systems. Converting between different BIM file formats without data loss.
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