Enhancing EV Charging Reliability: EcoG Introduces AI-Driven EV Charger Operations with Google Cloud

MUNICH, June 24th, 2026. At this year's Power2Drive, EcoG is unveiling the future of Electric Vehicle (EV) charging infrastructure, using Google Cloud. The collaboration introduces AI-driven tooling designed specifically for Charge Point Operators (CPOs) and Charge Point Manufacturers to manage large-scale fleets of industrial IoT EV chargers.

It demonstrates how the combination of EcoG’s operating system (EcoG OS) and Google Cloud’s AI capabilities transforms charging network operations by shifting from passive data retrieval and manual dashboards to proactive asset monitoring management powered by Agentic AI. The solution transitions operations from manual oversight to highly autonomous, self-optimizing "Agentic Operations." This provides CPOs with a powerful, field-ready toolkit to maximize reliability, streamline maintenance, and optimize fleet performance.

"At EcoG, our mission has always been to catalyze reliable, smart, and sustainable EV charging infrastructure. By integrating our universal operating system with Google Cloud’s advanced AI, we are taking that vision to the next level. With our new 'Agentic Operations,' we are building an intelligent, self-optimizing network that empowers operators to maximize uptime and achieve the true scalability needed for zero-emission transport."

- Johannes Hund, Co-Founder and CTO of EcoG

EcoG is transforming EV charging operations using Google Cloud in three key ways:

• Trained Agentic Operations of EV Charger Fleets: Autonomous AI agents that are trained on EcoG OS provide real field layer component data that proactively monitor, diagnose, and optimize charger networks with minimal human intervention.
• AI-Based Tooling for Field Operations: Intelligent tools that predict in field maintenance needs, guide field technicians, streamlining maintenance workflows, shortening repair cycles, reducing field activity cost and avoiding down time.
• "Talk to Your Fleet"-Feature: An interactive AI chatbot that allows operator personnel to query complex fleet data using natural language, easing information access instantly.

Value Proposition for CPOs

This solution directly tackles the EV industry’s biggest operational challenges. Powered by Agentic AI, the platform targets 100% reliability with zero-downtime operations, accelerating root-cause analysis to drive network uptime toward 99%+ and drastically lower the Total Cost of Ownership (TCO). This advanced automation empowers even small operational teams to seamlessly manage massive, multi-vendor charger networks. By combining EcoG’s market-leading, hardware-agnostic platform with Google Cloud’s AI stack, the solution supports the vast majority of market components, effectively eliminating vendor lock-in and setting a new standard for flexible infrastructure.

About EcoG

EcoG is a leading B2B technology company for EV charging infrastructure with locations in Munich, Pune and Detroit. Among other things, the company provides reference designs and a standardized operating system for charging infrastructure. It offers one of the world's fastest-growing platforms for manufacturers of fast charging stations. With the EcoG platform, manufacturers can efficiently produce charging infrastructure and operators can optimally integrate their charging parks into business processes – from car fleets to large logistics and truck charging hubs. EcoG is a technology leader with over 25,000 highly performing systems processing 2,3 million charging sessions per month, in use worldwide, and is driving standardization for bidirectional and megawatt charging, among other things. It has been awarded the German Innovation Prize and holds around 15 percent market share in Europe and 11 percent in India. Its customers include Siemens, ABB, Valeo, and Dover Fueling Solutions—the largest supplier of gas stations in the US—as well as other international partners.

Media Contact:

Mirjam Laubenbacher

Head of Communications, Brand & Governmental Affairs

Contact: mirjam@ecog.io

www.ecog.io