Last week, we had the honor of being invited to speak at Spirii School, Spirii's monthly knowledge-sharing event where they exchange insights and strengthen their ecosystem partnerships.
We presented on AI monitoring and operations, showcasing how our Charger Health solution automatically identifies issues and initiates resolution flows in real-time, through pattern recognition, predictive machine learning models and automation agents.
Lumina team presenting at Spirii School on AI-powered monitoring and operations
Spirii School: Fostering Innovation Through Collaboration
Spirii School represents a unique approach to driving innovation in the EV charging industry. By creating a regular forum for knowledge exchange, Spirii demonstrates their commitment to learning from partners and sharing insights that benefit the entire ecosystem.
As Mikkel Weikop noted during the presentation: "Events like Spirii School show the power of partnership in our industry. When we share knowledge and work together, we can solve challenges that no single company could tackle alone."
Sharing Our AI Platform Capabilities
During our presentation, we showcased our platform's core capabilities and real-world use cases that demonstrate how AI can predict issues before they occur. Our technology analyzes vast amounts of charging data to identify patterns and anomalies that human operators might miss, enabling proactive maintenance and significantly improving network uptime.
The key focus was on how our AI technology is already making a tangible difference in network operations. By turning raw data into actionable insights, we're helping Spirii's operations team work more strategically and efficiently.
As Sofus Laub Erdal explained: "Our intelligent system maps meaning to every issue that occurs in your network, so the next time it happens, it’s a known situation and we know what to do."
Spirii's Perspective on AI Implementation
Alongside our presentation, Valdemar Foss from Spirii shared his own insights. This dual perspective highlighted the collaborative nature of our partnership and how both teams are learning from each other to improve the technology.
Valdemar's talk demonstrated how Spirii is leveraging AI insights to enhance their operational efficiency, reduce downtime, and create better experiences for EV drivers across their network.
Andreas Sønderbo Patscheider emphasized this point: "The best AI solutions come from deep partnerships. By working closely with Spirii's operations team, we understand their real challenges and can develop solutions that actually solve problems, not just create interesting technology."
Looking Forward: The Future of AI in EV Charging
The session concluded with a forward-looking discussion about the role of AI in the future of EV charging. As networks expand and become more complex, data-driven insights will become increasingly critical for maintaining reliability and efficiency at scale.
William Heuser shared: "We're just scratching the surface of what's possible with machine learning in EV charging. As we continue to learn from real-world data and operational challenges, our models will become even more sophisticated and valuable for network operators."
We're excited to continue our collaboration with Spirii and look forward to future Spirii School sessions where we can share new insights and learn from other partners in the ecosystem.
Thank you to the entire Spirii team for hosting an inspiring event and for their continued partnership in advancing EV charging operations.