Quantum Hi-Tech has developed an integrated SaaS solution

-soon to be launched- that collects and preprocesses EV and battery data, 

builds data transformation modules for analysis, 

and develops AI-based prediction and anomaly detection models. 

This solution enables diagnostics of chargers and batteries 

while deriving business process–driven analytical scenarios.

Our platform implements and applies analytical models such as charging demand forecasting, battery aging factor analysis, battery health prediction, and anomaly detection & prediction—built on eco-friendly energy ecosystem modeling data. 

 We apply our proprietary real-world EV charge/discharge data modeling methodology (patent pending) to derive optimized analytical models for these tasks. 

 To enable the deployment of these models, we provide an Auto-Scale architecture that ensures efficient utilization of computational resources and supports continuous change management for deployed AI models.

Analytics Model Application

Training Results

Analytics Model Serving (API)

After applying the analytical models provided by the platform, results are delivered through built-in data visualization and model serving features. The platform offers diverse visualization charts (line, bar, scatter, etc.) tailored to data characteristics, along with the ability to export visualization images. 

 Furthermore, the platform provides efficient methods for delivering model prediction results to clients, enabling seamless application of analytical models in real-world services.

The platform provides an interface that defines basic information for analytical tasks, enabling integrated management of data handling, preprocessing, and model application as a unified workflow. 

 Metadata management identifies the structure of analytical data, registers relationships and characteristics, and manages both raw data metadata and processed data metadata after preprocessing. 

 Metadata can be searched and retrieved through keyword-based queries, offering users an organized list view. 

 Additionally, the platform provides functions to transform analytical data stored within the system into formats suitable for analytical models.