We break down complex data sets to helps organizations understand human mobility in a much simpler way, in order to make effective decisions. We specialize in running Mobility analytics using telecoms data. The specific data set that we use is called 'Call Detail Records' (CDR's), which is generated by users of mobile phones.
Our technology/algorithm is inspired in Quantum Physics, which combined with Machine Learner helps us clean, organize and generate trajectory analysis of people's Mobility.
The results have tremendous real work applications in the following industry verticals
1- Smart City/Transportation
2- Tourism
3- Location Intelligence/ marketing (Out of home advertising)
We work with completely anonymised data and the aggregated results are prepared in line with the prevalent GDPR guidelines or the Law of Land.
The end customer only has access to the final aggregated data, since the raw data is purged after analysis and remains primarily behind the firewall of the telecom operators that we are working with.
AMLD EPFL 2022 / Program
Neural Concept
Neural Concept Shape (NCS) is the commercial and industrial implementation of a software package developed at EPFL’s computer vision laboratory over the last 4 years. NCS is the first Deep-Learning software specifically tailored for Computer Assisted Engineering application.
Booth #101