News

City management platforms are becoming more capable, but also more complex. Operators are expected to manage more devices, more data streams, more integrations and more workflows in their Control Management Systems – and it’s proving to be a steep learning curve.

To address this challenge, Flashnet developed a new software application designed to help smart city software operators by enabling them to make sense of existing data, identify devices, connect to them and orchestrate surgical actions across the entire infrastructure. A smarter and faster way for users to reach their objectives within the existing CMS.

The tool, built around natural language interaction, provides user-friendly data search and device filtering using a custom LLM (isolated Large Language Model using proprietary data sets). The AI model helps convert complex technical data into actionable insights for operators: by asking questions in plain language, users can better interpret technical information, they can filter devices more efficiently, or they can build custom reports.

Flashnet’s AI engineers promise further development in the near future: “We’re adding more capabilities soon, including predictive maintenance insights and heuristic anomaly detection. AI is better and faster than most operators at recognizing data patterns and predict system errors, and we’re planning to use this to identify abnormal behavior outside standard operation, including signals that haven’t been flagged before, so it can surface unexpected issues and early failure indicators” states Nicola Crespi, Flashnet’s Chief Product Officer.

Built with openness in mind, Flashnet’s AI Module can be integrated through open APIs in most existing applications, connecting with different platforms and multi-vendor infrastructures. Also, it can operate across systems to support vendor-neutral smart city operations.

At the same time, Flashnet’s AI layer is engineered for real-world performance at scale, supporting large infrastructures with millions of connected devices, low latency requirements, and meeting enterprise-grade security expectations. Whether it’s smart street lighting, or any other IoT sensors, the new AI integration from Flashnet is designed to work across any smart city system integrated into the platform, creating a unified intelligence layer for urban infrastructure.