Experience the potential and opportunities of artificial intelligence for the construction industry

For those involved in construction

Design, plan and build smarter - find out how the construction industry will develop with AI using demonstrators and software products!

For software solution providers

How AI makes your software solutions better and your customers happier!

For software developers and IT system houses

Your expertise with AI tools and software development in
the construction industry - this is where it's needed!

Our Mission
"To become a vibrant hub for exchange of knowledge and services in AI and digitalisation topics in the German construction industry."

Look forward to the BIM Lab D²

The BIM Lab D² invites you to discover digital technologies, raises awareness of digitalization and drives implementation forward.

The project is expected to be completed in 2024. 

NaiS! The future of intelligent refurbishment

"NaiS" stands for sustainable intelligent refurbishment measures. Our new research project is being funded by the Federal Ministry of Economics and Climate Protection (BMWK) from 05/2023 to 04/2026. Sounds exciting? Then take a look!

Why use artificial intelligence
for the construction industry?

Artificial intelligence (AI) describes the ability of computers to learn without being explicitly programmed for tasks (Arthur Samuel 1959). Due to the ever-growing amount of data in the construction industry, AI models can be trained and continuously improved.  The multitude of available data sources makes it possible to find even weak correlations in large data sets.  

For the training of AI models, standard algorithms are usually used, to make predictive decisions on repetitive tasks. For the training of the algorithms, the existence of labeled data sets is particularly crucial. These data sets are made more easily accessible by the SDaC research project, so that small and medium-sized companies in the construction industry can also use AI models efficiently. 

Human thinking processes differ from AI models primarily in the targeted use of intuition and implicit knowledge. Complex issues can only be understood and solved through the targeted use of human-machine interaction. 

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