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02/09/2020
reading time 4 minutes
At nam.R, we gather publicly available, non-personal data and use our AI tools to build a Digital Twin of France. In that regard, we need a robust and scalable scraping infrastructure. Until recently, we were using Scrapy but, reaching its limits, we started developing our own solution, based on Celery.
reading time 4 minutes
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reading time 4 minutes
At nam.R, we gather publicly available, non-personal data and use our AI tools to build a Digital Twin of France. In that regard, we need a robust and scalable scraping infrastructure. Until recently, we were using Scrapy but, reaching its limits, we started developing our own solution, based on Celery.
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14/04/2020
reading time 3 minutes
How to estimate the potential electricity generation of solar panels any building of a country? In this blogpost, we present nam.R’s methodology to solve this problem.
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05/02/2020
reading time 3 minutes
Here at nam.R, we’re putting our hard work into building a Digital Twin of the French territory. We aggregate, clean and re-organize a large quantity of data of different formats coming from many different providers.
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19/12/2019
reading time 2 minutes
Vast topic for the TEDxUTCompiègne of December 7th. Vast, complex and more than ever up to date at the end of this year 2019 when strikes are all over France and when Madrid welcomes the COP 25
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about nam.R

nam.R is a data & deep-tech company, specialized in geolocated intelligence, building a digital representation of the physical world. nam.R aims at providing easy-to-use and actionable data to public and private organisations to massify and optimise their actions, investments and projects. 

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