GEODECI spearheaded the complete transformation of GIS database architecture for NGE INFRANET's critical Région Auvergne Numérique fiber deployment project, serving over 500,000 households across challenging topographic regions.
Our team engineered advanced spatial routing algorithms and custom PostGIS geoprocessing functions that reduced fiber deployment planning time by 62%, while implementing a microservice-based spatial data validation framework that detected infrastructure conflicts with 99.8% accuracy.
By implementing a real-time geospatial data pipeline and DevOps-enabled continuous integration for spatial databases, we eliminated data latency issues and achieved a 4x improvement in processing speeds. The comprehensive spatial data architecture we built now serves as the digital foundation for all network planning, deployment tracking, and maintenance operations, delivering significant efficiency gains over traditional methods.

GEODECI delivered an enterprise-grade GIS data integration platform for SFR that revolutionized their network infrastructure management across 35,000+ cell sites nationwide.
Our solution leveraged a spatially-optimized PostgreSQL/PostGIS architecture with custom spatial indices and parallel query optimization, fully integrated with the ESRI enterprise ecosystem. The implementation featured fault-tolerant ETL pipelines using advanced FME Server workflows with custom transformers and automated quality assurance protocols, reducing data processing times from days to minutes.
This digital transformation eliminated 85% of manual GIS operations while increasing spatial data quality by implementing ISO-compliant metadata standards and automated topology validation. The platform's RESTful spatial services and OGC-compliant web APIs now enable real-time network planning decisions and have become a mission-critical component of SFR's infrastructure management strategy, supporting their 5G expansion initiatives with substantial operational improvements.

GEODECI engineered a comprehensive geospatial decision support system for EDF Renewables that transformed their site selection methodology for utility-scale renewable energy projects across Europe.
We developed a sophisticated multi-criteria spatial analysis framework incorporating over 50 weighted environmental, regulatory, and technical parameters, utilizing advanced raster analytics and machine learning-based predictive modeling. The system integrated high-resolution LiDAR elevation models, Sentinel satellite imagery analysis, and proprietary irradiance/wind resource data with cadastral information through custom FME and Python processing workflows.
Our implementation automated complex viewshed analyses, ecological corridor assessments, and grid connection feasibility studies, reducing site prospection timeframes by 74% while identifying 38% more viable project locations than previous methods. This enterprise GIS solution now powers EDF's renewable development strategy, facilitating new project development and enabling precise energy production forecasting through spatiotemporal energy production simulation integrated with PVSyst and WindPRO modeling software.

GEODECI developed a state-of-the-art AI-powered pavement condition assessment system for VINCI's Diagway division, deploying it across 15,000+ km of European highway infrastructure.
Our solution integrated mobile LiDAR point cloud processing (50M+ points/km) with multi-spectral imagery analysis through a custom convolutional neural network that achieved 96.7% accuracy in detecting and categorizing pavement defects. We engineered enterprise QGIS plugins with C++ accelerated processing cores for visualization and analysis of terabyte-scale datasets, implementing spatiotemporal degradation modeling to predict infrastructure maintenance requirements with unprecedented precision.
The system's distributed spatial database architecture enabled sub-second query performance across continental-scale road networks, while the custom API framework facilitated seamless integration with VINCI's asset management systems. This transformation has significantly reduced inspection costs while extending average pavement lifecycles by 22% through optimized maintenance scheduling based on our predictive deterioration algorithms and digital twin modeling.

GEODECI orchestrated a comprehensive enterprise geospatial data modernization initiative for TotalEnergies' global Exploration & Production division, encompassing operations across 50+ countries and petabytes of mission-critical spatial information.
We executed the migration from legacy Oracle Spatial databases to a high-performance PostgreSQL/PostGIS ecosystem with zero operational downtime, implementing a distributed spatial data architecture with automated replication and failover capabilities. Our team developed custom ETL processing frameworks to harmonize disparate spatial data sources while engineering a comprehensive metadata management system based on GeoNetwork that ensured full ISO 19115/19139 compliance and maintained rigorous data lineage documentation.
The solution featured a web-based spatial data discovery portal with advanced search capabilities and OGC-compliant web services, democratizing access to geospatial intelligence across the organization. This transformation reduced spatial data retrieval times from hours to seconds, eliminated data silos between business units, and established an enterprise-wide spatial data governance framework that has become the industry standard for hydrocarbon exploration companies worldwide.

GEODECI delivered a groundbreaking subsurface infrastructure mapping solution for SONATRACH that revolutionized their pipeline asset management across Algeria's challenging desert terrain.
Our multi-phase approach combined high-precision differential GNSS surveys with vehicle-mounted Ground Penetrating Radar arrays operating at multiple frequencies, complemented by drone-based thermal imaging for leak detection. We engineered a proprietary signal processing algorithm that achieved unprecedented 10cm vertical accuracy for buried pipeline detection, even in complex soil conditions.
The project produced comprehensive 3D subsurface infrastructure models integrated with BIM workflows, enabling advanced finite element analysis for stress prediction and cathodic protection optimization. Our solution identified 73 previously unknown infrastructure conflicts and 28 potential failure points, preventing catastrophic failures. The geospatial decision support system we implemented now forms the foundation of SONATRACH's integrity management program, supporting over 5,000km of critical pipeline infrastructure and delivering substantial operational improvements through optimized maintenance planning and risk mitigation.