viboo offers self-learning predictive control on the basis of physics-informed Machine Learning as a cloud service for smart-thermostat and building automation systems.
20-40% less energy and improved thermal comfort
compared to state of industry controllers.
1-2 weeks of training time
compared to multiple months with pure Machine Learning methods.
Ready for demand response
due to computationally efficient predictive control algorithms.
...as a cloud service
We’ve developed a Predictive Control as a Service platform (PCaaS), empowering smart thermostats to actually be intelligent. By connecting to our cloud, you can bring viboo’s Self-Learning Predictive Control to your thermostat or BMS.
But we don’t stop here. We’re aiming to fully integrate buildings into the energy sector to reduce demand peaks or maximize the consumption of renewables. Buildings will provide demand-side response services, help to shave energy peaks and be connected to various smart devices. We’re providing the energy efficiency platform for all buildings.
viboo AG is a spin-off company by researchers of the Urban Energy Systems Lab at Empa and the Automatic Control Lab at ETH Zürich, Switzerland. We are experienced entrepreneurs in the building energy domain and have worked in world-leading labs in the areas of building energy systems, automatic control, and machine learning in Aachen, Berkeley and Zürich.