Pushing the energy transition with AI
500%
gain in design time
100%
design & operations alignement
15%+
Capex reduction
About Us
Mathieu
Mathieu is a climate and earth scientist who has put his passion and skills into contributing to a more sustainable world. Mathieu is driven by the positive impact his practice can help achieve.
He has studied and worked at UCLouvain, ULB, Ugent and the University of Bristol. He has worked on ice cores, atmospheric models, satellite and geophysical data to assess the effect of climate change on the permafrost, the Antarctic ice sheet, and the global land vegetation. After years of scientific research, Mathieu has applied is knowledge to the word of environmental consultancy at LTF, Ecores and Bopro. There, he has help local governments and compagnies in their transition towards greener food, mobility, and building. A few keywords to summarize this cycle ? Climate mitigation and adaptation, circular economy, new business models, synergies, just transition, change management, holistic approach, and positive energy buildings.
With Gemelio, Mathieu is now dedicated to accelerate the decarbonization of buildings in Belgium and abroad.
Sébastien
Sébastien has been active in the AI and software development for the last 15 years. After a PhD at UCLouvain, in collaboration with Brown University, Sébastien joined N-SIDE, a company leader in AI solutions for the power and pharmaceutical sectors. He then joined Centrica (ex-Restore), a global leader in demand-side management. Sébastien has also co-founded brupower, the first citizen energy community in Brussels.
From consultant to R&D and product manager, Sébastien has always focused on delivering robust algorithms helping people taking the right decisions for complex situations, in order to maximise welfare.
With Gemelio, Sébastien is bringing his expertise and skills to decarbonize building energy systems.
Our values
Impact
We work towards filling the gaps for a massive adoption of decarbonized energy systems
Robustness
Science-based design and data-driven control of complex energy systems
Experience
User friendly tools, fun to manipulate, despite the underlying complexity