Ingkle specializes in building a dedicated big data platform for manufacturing equipment, capable of processing vast and diverse forms of heterogeneous data. It enables real-time big data ETL (Extract, Transform, Load) processing and aggregation, with infrastructure scalability through Kubernetes-based design.
Rapidly deploy a cloud environment utilizing public clouds such as AWS, Azure, and Google Cloud. This provides both stability and powerful performance, enabling the construction of an innovative and efficient data platform.
Ingkle allows customers to build and operate their own data platform by establishing on-premises servers within their internal network. With an innovative and simplified data architecture, customers can adopt a data platform at minimal cost.
Monitoring System for Hydrogen Refueling Stations
With the help of digital twin technology and data analysis, we were able to remotely check and diagnose current conditions and anticipated problems at a hydrogen filling station located remotely, which enabled safe and efficient operation.
Ingkle's ability to analyze remote test equipment operating across vast regions quickly and efficiently without distance constraints was quite impressive. After the initial test introduction, we expanded Ingle's data platform and solutions nationwide and extended them to AI analysis.