Our mission is to make EV charging as reliable as filling up a fossil fuel vehicle. To achieve this, we utilize the large volumes of data from EV chargers, to create a data-driven intelligent system, that automatically predicts and prevents failures. Through our data insights, we know that most failures are both predictable and preventable, and we have made it our mission to make this a reality.
Network performance and operational efficiency are crucial parts of succeeding as a CPO. The potential upsides in utilising data to improve reliability, charging success rates, uptime and operational resources are huge, however the entry barrier and risk of doing it yourself are also big. At Lumina, our take is to enable any operator to leverage the incredible possibilities and inherent advantages of using machine learning to process data, without having to build, develop and train complex models and infrastructural systems yourself.
Charge Point Models
Data Logs Analysed
Monitoring Active Chargers
Mikkel Weikop
William Heuser
Sofus Laub Erdal
Andreas Patscheider
We come from backgrounds in analytics, computer science and mathematical modelling & computation, which means our machine learning models and algorithmic infrastructure are built by ourselves. This ensures that our custom models are developed to support the EV charging industry, trained on relevant data and continuously updated to reflect the trends and needs of the industry.
Through only a simple API, our system digests data logs in real-time, processing them, using advanced algorithms to intelligently enrich the datasets, providing the operators with vastly improved insights, automatic fault handling, outlier detections and future fault predictions - all automated and in real-time.
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