Granlund’s MEP Extension for Solibri

24.2.2026 – The extension, launched in Finland, ensures standardised data quality for MEP design.

Themes

Innovations, Productivity

A new checking ruleset developed by Granlund ensures the accuracy of standardized data in IFC models for MEP design in Finland. The MEP design extension created for the Solibri software accelerates the adoption of standardized data across the construction and real estate industry.

Error-free standardized data is a prerequisite for ensuring that the information contained in a designer’s IFC model truly benefits the entire value chain. With Granlund’s MEP design extension, the data content of IFC models can be checked at the level of individual objects.

Large construction projects may contain tens of thousands of MEP design objects, ranging from shut-off valves and shower mixers to heat pumps and toilet seats. Manually verifying the accuracy of such vast amounts of data is practically impossible.

This requires machine-readable processing.

“The checking process reviews every single object and flags any data that does not comply with the requirements of the national standardized data framework for MEP design in Finland,” says Markus Järvenpää, Group Manager at Granlund.

“As digital requirements increase, model quality is no longer optional. Granlund’s MEP extension brings standardized data requirements into a repeatable checking process in Solibri, so non-compliant objects are identified early. This is exactly the kind of practical, standards-based approach the industry needs”, says Ville Kyytsönen, CEO, Solibri.

Granlund accelerates the use of standardized data

Users of the Solibri software can download Granlund’s MEP design extension directly from Solibri’s Extensions tab.

“Cooperation with Solibri to promote the use of standardized data is a natural step, as Solibri is widely used in the Finnish construction industry and is a global forerunner in IFC model checking capabilities,” says Tero Järvinen, Director of Development at Granlund.

IFC models have been used in the MEP design sector for a long time, but they are still not utilized efficiently because the data content of the models is defined differently in each project.

To improve the situation, the Finnish national Rava3Pro project standardized MEP design data content and released it for open use in 2023. According to Järvinen, Granlund wants to actively support the adoption of standardized data and develop new tools for designers.

Last December, Granlund updated its freely available Revit BIM template and released an IFC exporter developed for MagiCAD. These tools enable designers to utilize standardized data and help them meet the requirements of the new IFC regulation under Finland’s Construction Act.

The tools developed by Granlund support the new IFC regulation, which is driving the construction industry toward digital development and encouraging the use of standardized data.
Tero Järvinen, Director of Development, Granlund

As a result, the tools for standardized data are now included directly in the installation packages of Solibri and MagiCAD, with no need for separate downloads.

“The tools developed by Granlund support the new IFC regulation, which is driving the construction industry toward digital development and encouraging the use of standardized data,” Järvinen notes.

Standardized data benefits the entire value chain

Standardized, machine-readable IFC data is easy to locate and can significantly improve construction processes in multiple ways.

“The standardized data content produced by designers can be utilized throughout the entire value chain. The IFC model then acts as a ‘skeleton’ to which different stakeholders can connect and enrich with their own information,” Markus Järvenpää points out.

The standardized data content produced by designers can be utilized throughout the entire value chain.
Markus Järvenpää, group manager, Granlund Oy

This creates a comprehensive data set that allows each stakeholder to develop their own processes. For example, contractors can use the IFC model as a ready-made data source for cost estimation, procurement, scheduling, or carbon footprint calculations.

Standardized object-level data can also be scaled to new projects. Data from completed projects can be used as benchmark data during the early design phases of new developments.

“AI applications also require error-free, high-quality data in order to produce analyses that are genuinely useful,” Tero Järvinen emphasizes.