Charger Health increases uptime and improves charge success rates for EV charging operations.
Our solution utilizes the vast amounts of standardized data from charge points to develop and train custom machine learning models, capable of predicting faults and offline instances in real-time. Combining this with LLMs trained on OCPP documentation and historic data, allows for not only predictive insights, but automatic preventive and preemptive actions.
Our solution turns data into reliability.
Our approach combines custom developed machine learning models with LLMs to deliver a fully automated, context-aware predictive maintenance system. Traditional maintenance systems react to faults after they occur; our system forecasts failures before they happen and automatically initiates corrective actions.
With backgrounds in Applied Machine Learning, Mathematical Modelling. Software Engineering, Economics & Data Science, and Interactive Design, we have a great combination of skills that enable us to create an innovative and value-driven solution for CPOs and CPMS.
