GDP Analytics

GDP Analytics s.r.l. is a limited liability company headquartered in Italy. The company provides software development and data analytics services and operates from Turin; its project portfolio and client work indicate engagement across sectors that span regional and cross-border contexts.

Services and Capabilities

• Custom software development: design and delivery of web applications and domain-specific software systems.
• Geospatial and web applications: development of GIS-enabled applications and browser-based platforms for spatial data visualization and analysis.
• API development and systems integration: implementation of APIs, integration between internal and third-party systems, and data exchange pipelines.
• DevOps and cloud operations: continuous integration and deployment practices, cloud hosting configuration, and operational maintenance workflows.
• Data engineering and database management: data ingestion, transformation, storage architecture and ongoing database administration.
• Analytics and artificial intelligence: business intelligence dashboards, automated analytics workflows, machine learning models and generative AI components applied to document analysis and data monitoring.

Industry Focus

• Energy and renewables: software to simulate renewable production, track fossil fuel metrics and support offshore wind and ocean energy applications.
• Public policy and urban planning: platforms to support city-level climate policy decision making and Climate City Contract-related analysis.
• Economic and market analysis: systems for monitoring and analyzing economic data with automation and AI-enabled processing.
• Logistics and fleet data management: web applications to streamline and optimize data management for logistics operations.
• Document processing: cloud-based applications for document analysis and searchable AI-enhanced document repositories.

Technology and Delivery Approach

Work is delivered through iterative project phases including assessment, roadmap definition, implementation, launch, evaluation and ongoing maintenance and scaling. Technical themes recurring across projects include cloud-hosted applications, API-based integration, data platform construction, automation of data workflows, deployment pipelines and use of AI and analytics to extract operational insight. Solutions combine software engineering, database design, geospatial tools, and model-driven analytics, with operational practices to support deployment and continuous updates.