Member - Odit-e

Odit-e propose machine learning algorithms able to process metering data to automatically digitize utilities’ networks.

Type Startup or self-employed
Founder 2017
Company Size 11
Member Type
Founders Michel Clemence
Headquarters 38240 Meylan, France
Social network


Distribution networks collect productions, serve consumers, and now have to deal with flexibilities, but their behavior is still obscur, leading to oversizings and increased costs. Managing these flexible networks requires a whole new level of transparency and understanding of their behavior. However, the complexity of distribution networks, especially Low Voltage ones, coupled with the lack of reliable information, make their digitization a real challenge. Our unique selling point is to create a digital twin of the network with no other information than the measurements provided by smart meters. No network map, no electrical information, no manual effort to model the network. This has been made possible by combining a deep expertise in electrical networks with a broad knowledge of machine learning algorithms. Our digital twin enable digital simulations and real time visualizations for utilities, and therefore flexible management of their networks, without requiring any effort.
Headquarters 38240 Meylan, France

SDG’s of application

The Sustainable Development Goals are a call to action to end poverty, protect the planet and ensure peace and prosperity everywhere.
Clean Water and
SDG 6 icon
Affordable and
Clean Energy
SDG 7 icon
Industry, Innovation
and Infrastructure
SDG 9 icon
SDG 11
Sustainable Cities
and Communities
SDG 11 icon
SDG 12
Responsible Consumption
and production
SDG 12 icon