Gaadin AI is an AI-powered EV charging software platform built for charge point operators, fleet organisations, and enterprises deploying EV chargers across buildings, commercial sites, and large-scale infrastructure.

At the core of Gaadin AI is an intelligent Energy Management System (EMS) that actively manages how buildings, EV chargers, and energy interact in real time. The platform dynamically balances EV charging demand with building load, grid constraints, energy tariffs, and renewable energy availability. This enables organisations to avoid peak demand penalties, reduce energy costs, protect electrical infrastructure, and scale EV charging without compromising building operations.

Gaadin AI’s AI-driven location prediction and ROI intelligence help operators, investors, and enterprises identify the most viable charging locations before deployment. By analysing mobility patterns, demand density, utilisation potential, energy economics, and site constraints, the platform improves charger utilisation, accelerates payback periods, and reduces capital risk from poor site selection.

On the operations side, Gaadin AI uses AI for predictive maintenance, anomaly detection, and uptime optimisation, shifting EV charging operations from reactive troubleshooting to proactive, software-led management. This significantly reduces unplanned downtime and minimises the need for physical site visits, improving network reliability and operational efficiency.

Delivered as a fully white-label platform, Gaadin AI enables organisations to launch branded EV charging apps, driver experiences, and management dashboards under their own brand. Operators can manage multiple sites, fleets, and sub-networks from a single system while benefiting from continuous over-the-air improvements that enhance performance, intelligence, and scalability over time.

Gaadin AI treats EV charging as a software and data problem, delivering higher uptime, smarter energy, and ROI.

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