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Overview slides
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DOWNLOAD Snap4City Booklet 2026/2027
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DOWNLOAD Snap4City flyer 2026/2027
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Connect city data. Explore scenarios. Make informed decisions. Discover Snap4City’s digital twin platform, bringing together agentic AI, real-time monitoring, simulations and business intelligence.
This overview explores how city teams, enterprises, developers and system integrators can connect information across services to support daily operations and long-term planning.
Explore capabilities including:
• 2D and 3D digital twins combining GIS, BIM, IoT sensors and historical data
• KPI monitoring, predictions, anomaly detection and early warnings
• What-if simulations and optimization to compare possible interventions
• SnapAdvisor Copilot for conversational analysis, planning and reporting
• Interactive dashboards, control rooms and mobile applications
• Visual development with Node-RED, custom Python and R analytics, and MLOps
• Open APIs, interoperability and integration with existing systems
• Cloud, SaaS and on-premise deployment with role-based access
Discover connected solutions across the Snap4City ecosystem:
• Snap4Assets — asset and infrastructure management
• Snap4Mobility — traffic and transport planning
• Snap4Parking — parking, payments and enforcement
• Snap4Tourism — visitor flows and destination management
• Snap4Light — smart lighting and energy monitoring
• Snap4Waste — collection planning and route optimization
• Snap4Environment — environmental monitoring and forecasting
See how SnapAdvisor brings natural-language questions together with configured data and analytical tools to help operators investigate conditions, compare options and review proposed actions.
Which city service would you connect to a digital twin first? Share your ideas in the comments, and subscribe for more Snap4City demonstrations and tutorials.
#Snap4City #DigitalTwin #AgenticAI #SmartCities #DecisionSupport
Its coverage includes platform architecture; entity and IoT device models; data ingestion and interoperability; the Km4City ontology, RDF knowledge bases, SPARQL, and ServiceMap; Smart City APIs; Node-RED Processing Logic and microservices; dashboards, widgets, synoptics, and business logic; Python/R analytics and ClearML MLOps; digital twins and BIM; deployment, administration, authentication, ownership, and delegation. Application material covers mobility and transport, energy and buildings, environment and waste, tourism, and industry. It also includes explanations of SnapAdvisor, document RAG, and agentic access to Snap4City services.
The Snap4City platform is a comprehensive IoT and smart city solution that supports the implementation of sustainable smart solutions and decision support systems in urban areas. It provides efficient tools for bidirectional data channels, sustainable knowledge models, and integrates various data sets, including transportation, mobility, and open data.
At its core, Snap4City aims to support semantic queries for smart solutions, provide aggregated data for various applications, and enable simple adoption of data and tools. The platform's methodology involves integrating multiple data sources, referencing existing ontologies, and utilizing standardized vocabularies.
The platform's architecture is based on microservices, providing scalability and flexibility in deployment. It supports multiple communication patterns, protocols, and formats, making it a versatile solution for smart city initiatives. Snap4City has been implemented in various cities worldwide, including Florence, Antwerp, and Helsinki, supporting initiatives in smart mobility, environmental monitoring, energy management, and public safety.
Key features of the platform include its ability to integrate with various IoT devices and sensors, providing real-time data collection and analytics. It also offers advanced data visualization tools, enabling users to create interactive dashboards and gain insights into city operations. Additionally, Snap4City supports machine learning and artificial intelligence algorithms, allowing for predictive analytics and anomaly detection.
The platform provides a range of tools and services, including a dashboard wizard and builder, data and visual analytics tools, and smart solutions for various city domains. It also offers real-time data processing and analytics, as well as tools for managing vehicle traffic, pedestrian flows, and public transportation.
Snap4City prioritizes security, privacy, and GDPR compliance in its IoT architecture. The system manages data as sensitive by default, requests explicit consent for data usage, and provides users with the right to access and be forgotten.
The platform has been used in various projects and applications, including traffic flow reconstruction, smart parking, and environmental data predictions. It has won several awards, including the first prize in the European competition "Select4Cities" under the Horizon 2020 program.
Overall, the Snap4City platform provides a comprehensive and integrated solution for smart city management, enabling cities to improve decision-making, public services, and citizen engagement, while supporting economic growth and sustainability. Its adoption is expected to promote efficient and sustainable urban development, enhancing the quality of life for citizens.
The platform's digital twin capabilities enable the simulation of various scenarios, allowing city planners to make informed decisions about urban planning and development. Its AI and ML capabilities also enable the prediction of potential issues, such as traffic congestion or energy shortages.
With over 8850 registered users, 1800 dashboards, and 17 mobile apps, Snap4City processes over 2.2 million structured data points per day and has 580 IoT applications and node-RED instances. The platform is designed to be interoperable, enabling communication with existing and new city systems.
Snap4City provides a range of solutions for smart city management, including data gathering, management, and smart applications. It supports the development of smart city applications, including dashboards, IoT applications, and microservices.
The platform's architecture is based on a fully distributed, decoupled, and robust design to ensure high availability and low maintenance costs. It is deployed on a cloud infrastructure using VMware, with virtual machines (VMs) and Docker containers.
The Snap4City platform is a Powered by FIWARE Solution, certified to offer FIWARE Training Services and Consultancy Services. It is also involved in various projects, including OPTIFaaS, SASUAM, and CAI4DSA.
In summary, the Snap4City platform is a comprehensive and integrated solution for smart city management, providing a range of tools and services to support data-driven decision-making and sustainable urban development. Its adoption is expected to promote efficient and sustainable urban development, enhancing the quality of life for citizens.
