a net zero partner
with AI powered identification of energy efficiency and carbon footprint generated
by a building
powered by Laboratorium EE & National Energy Conservation Agency
about our solution
A problem we're solving
As with any other field, full picture is necessary to manage the situation.
The problem of low energy efficiency in housing stock can and is addressed by modernising buildings and changing heating source along with green standards. This process, however, can be significantly slowed down by the fact that governments as well as citizens frequently lack knowledge about building conditions.
A commonly known solution to get that data on board is to engage qualified energy auditors. This solution however, is time consuming, hard to scale and expensive.
of final energy consumption in EU comes from residential sector
of it accounts for space and water heating.
of EU buildings, that will be standing in 2050 exist today
Our product has an AI engined predictive model, thanks to which, in a short time and with a limited amount of simple information it is able to assess the energy efficiency of a building and recommend optimal thermo-modernization solutions for it.
A user can fill in the data about a building without third party support, as required information is pretty basic and consists of data such as heated surface, height of the storey, number of storeys, year of construction or type of heat source.
A user is provided with complex and accurate insights about the building such as its energy efficiency score and emissions level. He or she knows how does the budding do, compared to other buildings.
A user knows what to do, as specific, customised investments are recommended to him together with investment’s cost and payback time, as well as prediction of emissions’ reduction.
Citizens are aware of their building condition and have actionable insights of how they can proceed. It's the first important step in a transition process.
Policy makers are able to locate the sources of increased energy consumption and identify the type and scale of investments. They’re also able to predict the effect following provided investments.
Knowing the carbon footprint and the needs of households, financial institutions can design narrowly targeted products, communicate them more effectively to the right users, and thus sell more green loans or insurances. Supporting green transition among clients might be a valuable input
in ESG reporing.
Providers of technologies improving building energy efficiency as well as providers of renewable energy can gain valuable leads and customise their offer to market needs.
Get in touch
Marta [product owner]
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goodwarm app will be ready in January
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and let us inform you about its start!