Analytisches Bild mit Quadraten, Zahlen und Verbindungen symbolisiert das Produkt analytics

Data-based Operational
Optimization with Artificial Intelligence

Identify Optimization Potential in Your Building

Detect Operating Errors offers you a fully digitalized operational optimization of your buildings or properties with the help of artificial intelligence. is an AI-powered tool for automatic and continuous monitoring, data-based analysis and evaluation of complex building operations. Thus, .analytics relieves the operating team and helps to identify operating errors and savings potentials, reduce energy consumption and maintenance effort and thus sustainably saves operating costs. Simultaneous monitoring of room comfort guarantees thermal comfort and good air quality. This turns your building into a real smart building!


Operation optimization

This is How Operational Optimization Works Today

With, operational optimization has never been easier: Building data is structured with the help of artificial intelligence and assigned to digital twins of the plants in the building. Automated analyses examine the functioning of the technical building equipment (TBE). The AI detects malfunctions in operation and derives recommendations for optimizing TGA operation. Your advantage: Without any manual effort, you receive a catalog of actions that can be used to easily improve building operation. And the success control of this? Of course, .analytics takes care of it!

3 steps to a better building

Data Structuring

Automated creation of digital twins

Data Analysis

Artificial intelligence analyzes the TBE using over 60 different types of analysis

Optimization Potential

Enable savings potential and comfort increase via BMS adjustments

What's behind .analytics

Once set up, the aedifion platform can perform automated inspections of the plant technology on a permanent basis. In the process, patterns occurring during plant operation are compared by our artificial intelligence with patterns stored in our databases. Typical errors, such as setpoint overruns or deviations from planned values, are detected in the same way as a suboptimal degree of utilization of the plant technology, excessive cycle behavior, plant failure or faulty control sequences. If deviations from standard operation occur, the underlying causes are identified on the basis of our error databases and recommendations for corrective action are generated. The recommendations automatically adapt to changes in the building and enable a continuous improvement process of the building operation. In this way, economically optimized operation of the building can be achieved throughout its entire life cycle.


Reference projects

Successful Reference Projects with .analytics

Use of .analytics for data analysis and collection of optimization recommendations of the supply technology.

  • 1 mixed-type building with offices and laboratories, built in 2018, 26,000 m2
  • 118 digital component twins
  • 390 different analytics in operation

Use of .analytics for further development to Smart Automated Building with optimization of plant technology including interfaces for third-party systems. In addition, consulting and implementation for smart meter equipment and platform merging with Thing-it.

  • Shopping center "Ettlinger Tor"
  • 122 digital twins
  • 290 permanent analyses
  • 24/7 operational monitoring
  • Annual energy costs reduced by five-digit euro amount

Use of .analytics for software-based operational optimization and reduction of energy consumption and CO2 emissions

  • Office Building
  • approx. 12 350 m2
  • Year of construction: 2019
  • 10 000 data points
  • CO2 savings: 17.1%
  • Operating cost savings 1,23 €/m2 per year

Using .analytics to reduce CO2 emissions in a highly heterogeneous portfolio of university buildings.

  • University building
  • 4 320 m2
  • Year of construction: 2012
  • 1 200 data points
  • CO2 savings: 14.4 to
  • 1.96 €/m2 annual operating cost savings


Learn more about our successful projects in our detailed case studies.

Case Studies