Cities and public administrations across Europe face mounting pressure to reduce energy waste, control costs, and accelerate progress toward climate neutrality. Yet, many public buildings remain digitally underserved—operating with legacy systems, fragmented data, and limited capacity to turn information into timely, actionable decisions. This disconnect slows the realization of sustainability goals, leaving energy managers and local authorities without the tools needed to detect inefficiencies or optimize consumption at scale. 
DOTSOFT’s IANOS Energy platform directly addresses this challenge as a market-proven product for Greek municipalities, offering a powerful digital environment for monitoring, analyzing, and managing electricity bills and consumption across public buildings. IANOS equips local authorities with a user-friendly interface, detailed cost center analysis, automated data collection, and actionable insights for energy interventions. However, even with such digital foundations, day-to-day operations are still mostly reactive, with building managers relying on historical billing reviews and manual identification of inefficiencies. 
To advance beyond monitoring and into predictive, intelligent optimization, DOTSOFT has developed SMART TESLA—an AI-powered, sensorless add-on to the IANOS platform, designed to transform public-sec-tor energy management. SMART TESLA leverages ad-vanced machine learning models, including the trans-former-based Chronos-T5, Random Forest, and XGBoost, to analyze historical energy usage and weather data, delivering accurate forecasts, real-time anomaly detection, and explainable, actionable recommendations—without requiring any new IoT sensor installations 
A core innovation of SMART TESLA is its integration of Explainable AI (XAI) techniques—such as SHAP values—to provide transparency and user confidence in every recommendation. This commitment to trustworthy AI enables intuitive human-computer inter-action, making sophisticated analytics accessible to both technical and non-technical stakeholders. Its modular, containerized architecture ensures seamless and secure integration with IANOS, supporting real-time data exchange, flexible scaling, and interoperability with other municipal systems via RESTful APIs.