kelvin

When you’re looking for a startup idea that could slow climate change, you might become an expert at home energy assessments. Instead, the startup has put together a small team of engineers to create its own AI model specialized in home energy assessments using machine learning. The company uses open data, such as satellite images, as well as its own training data set with millions of photos and energy assessments. In the company’s first tests, its home energy assessments have been accurate within 5% of old-fashioned assessments. The startup has now raised €4.7 million ($5.1 million at today’s exchange rate) with Racine² leading the round and a non-dilutive investment from Bpifrance.