Nexqt Technology
Nexqt Technology
Nexqt Technology
Nexqt Technology
Nexqt uses advanced technologies like artificial intelligence and machine learning to analyze greenhouse gas emissions and energy consumption with unprecedented accuracy. Unlike traditional tools, Nexqt provides data in near real-time and at a fine scale (neighborhoods, buildings), enabling effective support for local decisions while integrating the recent impacts of the development of your territory.
Nexqt uses advanced technologies like artificial intelligence and machine learning to analyze greenhouse gas emissions and energy consumption with unprecedented accuracy. Unlike traditional tools, Nexqt provides data in near real-time and at a fine scale (neighborhoods, buildings), enabling effective support for local decisions while integrating the recent impacts of the development of your territory.
Nexqt uses advanced technologies like artificial intelligence and machine learning to analyze greenhouse gas emissions and energy consumption with unprecedented accuracy. Unlike traditional tools, Nexqt provides data in near real-time and at a fine scale (neighborhoods, buildings), enabling effective support for local decisions while integrating the recent impacts of the development of your territory.
Nexqt uses advanced technologies like artificial intelligence and machine learning to analyze greenhouse gas emissions and energy consumption with unprecedented accuracy. Unlike traditional tools, Nexqt provides data in near real-time and at a fine scale (neighborhoods, buildings), enabling effective support for local decisions while integrating the recent impacts of the development of your territory.
These data are of different natures:
These data are of different natures:
These data are of different natures:
Cartographie bâtiment/route
Cartographie bâtiment/route
Cartographie bâtiment/route
Energy networks
Energy networks
Energy networks
Traffic count
Counting road traffic
Traffic count
Traffic count
Données de géolocalisation
Données de géolocalisation
Données de géolocalisation
Imageries satellitaires
Imageries satellitaires
Imageries satellitaires
These are the same data flows that are used to deliver an online order, to plan a route, or to track energy expenses that we exploit to understand where the challenges of transition in your territory are taking place
These are the same data flows that are used to deliver an online order, to plan a route, or to track energy expenses that we exploit to understand where the challenges of transition in your territory are taking place
These are the same data flows that are used to deliver an online order, to plan a route, or to track energy expenses that we exploit to understand where the challenges of transition in your territory are taking place
We can ultimately provide you with synthesized data at 3 scales:
We can ultimately provide you with synthesized data at 3 scales:
We can ultimately provide you with synthesized data at
3 scales:
We can ultimately provide you with synthesized data at
3 scales
Territory
Territory
Quartier
Quartier
Building/Road
Building/Road
How does it work?
How does it work?
How does it work?
How does it work?
Our technology in detail
Our technology in detail
Our technology in detail
Our technology in detail
Leveraging advanced machine learning algorithms such as random forests and gradient boosting, as well as computer vision techniques, Nexqt processes massive flows of heterogeneous data. By combining remote sensing data (Copernicus satellites, HOT-SAT) with near real-time streams from IoT sensors, energy APIs, and GPS geolocation, Nexqt enables precise spatio-temporal modeling, essential for effective strategic planning.
Leveraging advanced machine learning algorithms such as random forests and gradient boosting, as well as computer vision techniques, Nexqt processes massive flows of heterogeneous data. By combining remote sensing data (Copernicus satellites, HOT-SAT) with near real-time streams from IoT sensors, energy APIs, and GPS geolocation, Nexqt enables precise spatio-temporal modeling, essential for effective strategic planning.
The scientific recognition of Nexqt is also based on solid foundations in R&D, supported by the Young Innovative Company (JEI) label obtained in 2023. The company collaborates closely with institutions such as LSCE (CEA-CNRS) to validate its predictive models and scientific methodologies. These works integrate innovative approaches such as GeoAI (geospatial artificial intelligence) and supervised learning techniques applied to the quantification of urban emissions. Nexqt also benefits from international partnerships and European research programs, strengthening its role as a deep tech player in the energy transition.
The scientific recognition of Nexqt is also based on solid foundations in R&D, supported by the Young Innovative Company (JEI) label obtained in 2023. The company collaborates closely with institutions such as LSCE (CEA-CNRS) to validate its predictive models and scientific methodologies. These works integrate innovative approaches such as GeoAI (geospatial artificial intelligence) and supervised learning techniques applied to the quantification of urban emissions. Nexqt also benefits from international partnerships and European research programs, strengthening its role as a deep tech player in the energy transition.
One of the differentiating factors of Nexqt lies in its ability to leverage dynamic and granular data at unprecedented scales, such as buildings, road segments, or neighborhoods. Unlike classical tools, which are limited by outdated and aggregated data, the platform combines enriched multi-source data to produce high-precision snapshots of emissions for the energy consumption of buildings. This granularity feeds robust predictive models, optimizing the identification of areas with high decarbonization potential.
One of the differentiating factors of Nexqt lies in its ability to leverage dynamic and granular data at unprecedented scales, such as buildings, road segments, or neighborhoods. Unlike classical tools, which are limited by outdated and aggregated data, the platform combines enriched multi-source data to produce high-precision snapshots of emissions for the energy consumption of buildings. This granularity feeds robust predictive models, optimizing the identification of areas with high decarbonization potential.
Nexqt enhances traditional approaches with its cloud-native architecture, compliant with GDPR standards and optimized for intensive computing on European AWS infrastructures. Its technology integrates automated ETL pipelines for managing urban big data and an optimization engine based on advanced sectorial algorithms to assess emission reduction scenarios.
Nexqt enhances traditional approaches with its cloud-native architecture, compliant with GDPR standards and optimized for intensive computing on European AWS infrastructures. Its technology integrates automated ETL pipelines for managing urban big data and an optimization engine based on advanced sectorial algorithms to assess emission reduction scenarios.
Would you like to test a use case in your area? We'd love to hear from you!
Management of Climate-Air-Energy Plan, Targeting Potentials, Project Evaluation, … Let's Talk About It
Would you like to test a use case in your area? We'd love to hear from you!
Management of Climate-Air-Energy Plan, Targeting Potentials, Project Evaluation, … Let's Talk About It
Would you like to test a use case in your area? We'd love to hear from you!
NDon't let the decarbonization opportunities slip away!
Would you like to test a use case in your area? We'd love to hear from you!
NDon't let the decarbonization opportunities slip away!
