The energy database augmented by AI
Geolocated data for realistic analyses
namR has created the exhaustive energy database geolocated at the address level to define decarbonization trajectories & offer strategies based on the reality of the energy renovation potential of your portfolio or territory.
Why is it innovative?
Territorial intelligence optimised by our AI
namR's expertise in AI and Big Data, combined with our business expertise in housing heat engineering and morphology, has enabled us to develop the most advanced housing energy database on the market (complete for 100% of residential buildings and exhaustive for key data).
Geolocalised data
All namR energy data is available at postal address level thanks to our geocoder.
Reliable data
The namR calculation engine, designed by experts in energy renovation, is based on open data and benchmark market data to provide neutral, reliable results.
Educational data
namR has gone further than the DPE and now offers a financial estimate in line with the reality of the market (cost of work, national and local grants and energy savings) and a personalised estimate (budget or list of work).
Complete data
Open data is rarely available at housing level. namR offers a database available for 100% of housing.
residential buildings available in our database
Energy Performance Certificate (EPC) responses and renovation scenarios (where open data covers 20%)
of dwellings taken into account for our work calculations
DPE estimates by namR accurate to within one label
How does it work?
A user-friendly energy data API
Geolocation
Each line of your building lists to be analyzed is automatically associated with our geocoder.
Quality
Taking into account all regulatory developments in energy renovation and continuous improvement of our AI models
Personalisation
Our data access points are organized around the key dimensions of an energy renovation project in response to your specific challenges (cross-scoring with your data, marketing targeting, etc.)
Why use namR ?
Offer yourself the best AI expertise in energy renovation
The design and tech development choices made by namR guarantee the reliability, speed and accuracy of our work recommendations for each address.
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Highlights the actors & reference methods of the industry
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Exploitation of open data coupled with our digital twin
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AI technologies and expert methods in building thermics
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Integration of validated reference data from the industry (work costs, grants...)
Case study
La Banque Postale chooses namR's DPE data for its ESG Pillar 3 reporting
La Banque Postale
As part of the new ESG Pillar 3 reporting, banks must publish an inventory of EPC ratings for loans secured by residential real estate properties
Challenges
Report a residential property portfolio 100% associated with an DPE rating
Weight of credits without EPC
Results
The data was delivered in 15 days, from scoping to the final processing of the data
postal addresses delivered with an DPE label
Accelerate your decisions with our energy data
A number of banks are already using our data to get to know their portfolios more quickly, to define trajectories and for reporting purposes.