Our mission: create, transform and enhance data of regions, buildings and their context to respond to the challenges of ecological transition

At namR, billions of data are enhanced on a daily basis to allow public and private entities to evaluate their assets, drive their transformation effectively and accelerate the decision process.


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We collaborate with

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From raw data to (non-personal) attribute made available to our clients

namR data production library delivery

Our attributes, divided by categories, for the advantage of your transformations

Simply access contextual, original and unique data
from an address, a municipality or a zone.

All the databases are linked to massively increase their value
by design
No qualifier relates to individuals and the primary sources are public
Each item of data has its own confidence index resulting from its production process
The database entry point is via an address, a zone, an IRIS, a municipality, etc.
The qualifiers are complete for the whole country and predicted if initially partial
The qualifiers are enhanced by multiple data sources
The addresses, zones and municipalities are all entries in the database


“It [the tRees program] is presented as a real lever for action in favour of the energy transition and the platform entered the testing phase in the Hauts-de-France region from the start of the 2020 school year. It uses complex machine learning models (including computer vision) to recognise millions of actionable, filterable and organisable attributes.”

Thomas Calvi pour ActuIA

“By adding numerous other parameters, such as the number of floors of a building, the presence of an air-conditioning unit on the roof, the material, shape or slope of the roof, and by drawing on its Data Library, nam.R was then able to optimise the choice of the location of solar infrastructures, at the level of either a building or a district.”

Bothorel report, Pour une Politique Publique de la Donnée, December 2020

“When human ingenuity and technology meet, we have the power to solve big environmental challenges. With AI for Earth we support our partners working on the front lines of sustainability, and namR is one them.”

Eneric Lopez – Microsoft