TÜV SÜD Certified

MADE FOR THE HOUSING INDUSTRY.

We enable property portfolio owners to reduce energy costs, meet regulatory requirements, and efficiently develop their building stock — without complex renovations.
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Developed for the requirements of large housing portfolios

Municipal Housing Companies
Housing Cooperatives
Institutional Property
Owners
Property
Managers

Anyone who wants to manage housing portfolios economically must control heat during operation

We see every day that rising energy prices, regulatory requirements, and limited investment capacity are forcing the housing industry to make complex decisions.
At the same time, expectations from tenants and policymakers are increasing:
  • affordable service charges
  • more transparency
  • better energy efficiency
Comprehensive renovations are often not feasible in the short term.
OUR APPROACH

We perform hydronic balancing daily during ongoing operation

We replace the one-time calculation with continuous, data-based control. A local AI unit operates in every apartment — the AI Butler for Real Estate. In combination with thermostats as well as temperature and humidity sensors, it controls heat distribution based on real measured values.

What makes it special:


All apartments coordinate with one another.
This ensures that:

  • all rooms are heated evenly
  • regardless of weather, usage, or heating load
  • without manual readjustment
Hydronic balancing is therefore not configured just once, but implemented continuously.
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WHAT THIS SOLVES FOR PROPERTY PORTFOLIO OWNERS

Predictable efficiency instead of theoretical calculations

Continuous control creates, for the first time, stable operation based on real conditions. For you, this means:
Für Sie bedeutet das:
  • even heat distribution throughout the entire building
  • reduced energy consumption during ongoing operation
  • fewer manual interventions and complaints
  • verifiable effects instead of theoretical savings

For the first time, you receive reliable data for investment decisions

We continuously collect consumption and performance data at apartment level and aggregate it anonymously at building level.

This data shows you:

  • how your building actually behaves
  • what heating output is actually required
  • whether existing radiators are suitable

This enables:

  • needs-based sizing of new systems
  • avoidance of oversizing
  • targeted modernization measures
INTEGRATION INTO EXISTING BUILDINGS

We do not interfere with your buildings
Implementation in three steps

Analysis and selection

– identify suitable properties
– assess framework conditions
– define a suitable starting point

Integration into existing buildings

– integrate the solution into existing infrastructure
– prepare the building for operation
– implement without complex interventions

Optimization and scaling

– continuously improve heat distribution
– learn from real operational data
– expand step by step