ENTENDIX & MBS:

Understanding Buildings

Data becomes insight

 

Many existing buildings contain vast amounts of technical data. However, there is often a lack of transparency, documentation, or human resources needed to make effective use of this information.

Together with ENTENDIX, MBS makes existing building systems visible.

The Challenge
Buildings evolve over the years.

The documentation is incomplete.
The data points are unstructured.
The relationships are difficult to understand.

The result:
Buildings are often operated without proper oversight


'sMBS solutioncollects data from BACnet, Modbus, DALI, and other systems.

ENTENDIX automatically analyzes this information and uses it to create a digital twin of the building's technical systems.

AI-powered algorithms identify opportunities for optimization and provide transparency regarding the building’s actual condition.

Typical applications

  • Existing building

  • Real estate portfolios

  • Facility Management

  • Energy Efficiency Programs

  • ESG projects

Your benefits

  • Digital twin

  • Transparency in Building Services Engineering

  • Energy savings

  • Reducing the workload of skilled workers

  • Faster decisions

  • Improved building operations


Together, ENTENDIX and MBS are laying the groundwork for data-driven building optimization.

Questions about the solutions or interested in working with us?

Get in touch now →

Frequently Asked Questions

What is a digital twin?
A digital twin digitally maps the technical structure of a building and highlights the relationships between systems, data points, and processes.

How can AI be used in building automation?
AI can analyze large amounts of operational data, recognize patterns, and identify opportunities for optimization that would be difficult to find manually.

Why are existing buildings often opaque?
Often, up-to-date documentation is missing, or knowledge of the building’s existing systems has been lost over the years.

How does data analysis lead to energy savings?
By analyzingoperational data, inefficient settings, unnecessary runtime, or faulty control systems can be identified and optimized.

For which types of buildings is a digital twin suitable?
Digital twins are suitable for both individual buildings and larger real estate portfolios.