Challenging the possibilities and limits of AI

Our Main Clients & Partners

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Who We Are

Putting emerging technologies into practical use in the shortest possible time

CyberX JP (CBX) aims to solve real-world problems that have been difficult to solve until now by putting emerging technologies such as AI into practical use in the shortest possible time.

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Services

Custom AI solutions for the manufacturing industry: We provide end-to-end support, from problem definition to on-site implementation and operational improvement.
We can deploy on-site AI in as little as a few weeks, transforming the system so that on-site operations continuously learn and improve.

AI solution for handling defects

AI for handling defects – Turning tacit knowledge from the field into an asset and accelerating recovery.

When a malfunction occurs, troubleshooting and countermeasures often rely on the judgment of experienced personnel. Our AI-powered contextual understanding system cross-analyzes on-site data such as images, audio, and daily reports to propose initial hypotheses about the cause and countermeasures. Furthermore, it accumulates on-site decisions (adoption and modification) as data, enabling faster and more reliable responses in the future. Starting with shortening the time to recovery (MTTR), we transform the fading know-how of experienced personnel into searchable corporate assets.

AI Quality Control Solution

AI Quality Control – Connecting the Entire Process of Production, Inspection, and Improvement with Data

It doesn't just stop at detection; it integrates AI into the entire process, from process control and inspection to recording and quality improvement. It connects fragmented quality data across different systems, stabilizing yield.

AI-powered design support solutions

AI-powered CAD design support – Building quality from the design stage (Quality by Design)

We will incorporate the knowledge of failure mechanisms accumulated on-site into the design process. By understanding the work state, suggesting the next steps, and referencing past design and failure data, we will bring the design process to an AI-ready state. We will create a system to prevent problems that occur downstream from occurring at the upstream design stage.