Smart Cities

Building Tomorrow's Cities Today

Where technology seamlessly integrates with infrastructure to create more efficient, sustainable, and livable communities.

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AI Layer Processing

Our AI layer takes chaotic, unstructured data from various sources in different formats and transforms it into organized, actionable insights for your knowledge graph.

Raw Data Sources
Structured Knowledge

Knowledge Graph Creation

A knowledge graph is created where data is stored keeping their relationships via nodes and edges. This interconnected structure allows for complex queries and intelligent insights across all city data.

Knowledge Graph Network Visualization
Connected Knowledge Graph

App Integration & Connectivity

You can connect apps to the system through our powerful API infrastructure. External applications seamlessly integrate with our platform to access and contribute data to the knowledge graph.

Proof of Concept

See our Smart Cities platform in action through these live demonstrations of our key applications.

View more demos on larger screens or visit our live platform

Our Development Journey

Current

Built and launched the Smart Cities platform from scratch with AI-powered analytics

Current Development Status:

AI Layer: Fully operational system that takes data from multiple sources, understands it, and builds structured data while maintaining relationships between different data points.

Knowledge Graph Database: Evolving system that holds relationships between data and scales as more data is ingested, creating an interconnected web of urban information.

Proof of Concept App: Functional application that allows users to send images of city issues. The AI layer automatically detects problems from photos and ingests the data accordingly into the database.

2025

Planning to integrate our first cities to test the system and make the first apps that interact with citizens public.

We will handle all necessary technicalities of the system for a good deployment to the public, including infrastructure scaling, security protocols, user experience optimization, and comprehensive testing with real urban environments.

2026

Gathering necessary data to determine where the system best fits and focusing on comprehensive system improvements.

Our focus will be on improving security of the system, enhancing AI layer accuracy and efficiency, and focusing on ingesting data from as many sources as possible while improving the knowledge graph structure and architecture for better scalability and performance.

Future

Now that the system is deployed and used, our focus is on expanding its visibility globally as the best system for smart cities.

We will work on popularizing connecting city relevant apps with our system and further development on data gathering methods for specific cities to create tailored solutions for diverse urban environments worldwide.

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