The use of AI tools is already saving us a lot of time in the planning, design and production of our acoustic enclosures for heat pumps and refrigeration systems.

The calculation of fan key figures, air volumes, pressure losses and, for example, optimum air speeds, can be greatly accelerated through the use of AI. Furthermore, the targeted use of AI tools simplifies the prediction of noise emissions and noise immissions, taking into account various atmospheric and topographical conditions.

The use of AI in production serves to optimise the four-cutting of raw materials such as insulation, aluminium sheets and frame profiles, thereby shortening production planning.

The use of AI does not solve any questions that cannot be answered without AI, but it speeds up the process of finding answers enormously.

Perplexity's announcement to integrate ‘DeepSeek R1’ into its AI platform offers the possibility to access DeepSeek's logical capabilities within the Perplexity framework, which promises to further optimise the performance of AI tools for mathematical and physical problems for the benefit of planning technical building services engineering.

We spent the last two days of January in Hamburg discussing future projects, changes and optimisations in our company.

We focussed in particular on current and upcoming projects. We discussed specific optimisation measures to make our processes even more sustainable and efficient, with a focus on the use of AI. The digital integration of production and installers was particularly valuable in order to develop the best possible solutions for our customers.

Finally, we visited a property where our acoustic bonnet for two large heat pumps will be installed in the coming weeks - a measure that both reduces noise emissions and optimises energy efficiency.

With lots of new impetus and a clear vision, we are motivated to take the next steps.