We were contacted by Teon, an innovative company that produces extremely energy-efficient heat pumps.
Teon’s proprietary systems extract heat from natural resources such as groundwater, soil, or air and transmit it to the heating system, thus being fully sustainable.

However, these extraordinary heat pumps could not be operated remotely by technicians for maintenance, nor their owners could have access to any information about the current state of the heating system, or interact with it. Moreover, these heat pumps–despite their efficiency–were not equipped with any state-of-the-art optimization software.


As Partners and Advisors, together with Teon’s technical and business teams, we devised and implemented a project aimed to extend the possibilities of their heating systems. In this process, we defined the best hardware assets and software architecture, to efficiently and robustly connect Teon’s heating systems to the web, for all users: from maintainers to end customers.
Thereafter, our internal research lab joined the table and found the potential to utilize cutting-edge artificial intelligence solutions, to optimize the energy consumption of single or collectives of heat pumps.


We have therefore created a series of applications to allow maintainers, administrators, sales, and end customers to manage the machines independently while ensuring segregation of information and security of data.

The overall architecture is composed by:

  • Teon PLC
  • Gateway MQTT
  • Broker MQTT (AWS IoT Core)
  • WebSocket Server (node.js and socketcluster)
  • SQL e NoSQL db
  • React
Teon architecture overview

Next challenges

It is now time to integrate the solutions conceived by the research lab! By gathering data from all the installed machines, on the one hand, we will be able to perform predictive maintenance and thus alert technicians beforehand, to guarantee continuity of the service. On the other hand, we will implement a real-time, dynamic Demand Response service, that will make Teon’s heat pumps not only efficient as single machines but as a group contributing skillfully to the energy economy.