Smart Cities and Intelligent Transport: Where AI Meets Urban Infrastructure
By Eyup Turkay, CEO
Urban transport is one of the most impactful domains for AI deployment. Traffic optimization, predictive maintenance of infrastructure, and real-time passenger information systems all benefit enormously from machine learning — and the data is already being collected in most cities.
Our Approach
We work with municipal authorities and transport operators to build data platforms that unify signals from traffic sensors, GPS fleet tracking, payment systems, and weather services. The unified data layer is the foundation — without it, AI models are working with incomplete pictures.
On top of this platform, we deploy models for demand prediction (helping operators allocate vehicles efficiently), route optimization (reducing fuel consumption and travel times), and anomaly detection (identifying infrastructure issues before they cause service disruptions).
The Central European Opportunity
Cities in Slovakia, Czech Republic, and the wider region are investing heavily in smart infrastructure. Our team bridges the gap between ambitious EU-funded smart city programs and practical, deployable AI systems. We understand both the technical requirements and the regulatory landscape, which accelerates delivery significantly.