For SI and IS departments
Software Asset Management and Modernization
Private AI and Code search solve them
Our Clients
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The code, specifications, design documents, and related information of existing systems are generally confidential. The Krugle platform completes all processing in a secure, private environment, enabling extensive AI use for maintenance and modernization.
TARGET
1) Avoiding AI Risks
As we enter the AI era, we must resolve two risks facing Japan's software industry!
1.
Cost of AI Usage：
While reliance on AI is increasing in an effort to streamline software development, Japan relies on public, overseas engines (such as ChatGPT, OpenAI, and CoPilot) for its core AI/LLM, failing to manage cost risks.
2.
Security When Using AI：
When using external, general-purpose AI/LLM to process existing system source code and peripheral information, there is a risk of confidential information and vulnerabilities being leaked, but governance for this has not been established.
2) Legacy/Embedded Software Measures
Maintenance and modernization of legacy systems remaining in various industries in Japan, and embedded software in the manufacturing industry!
1.
Legacy Systems：
In Japan, there are countless legacy systems with maintenance challenges, such as legacy languages with no engineers and EOS frameworks. Many solutions/vendors have attempted to migrate these systems, but have not been successful.
2.
Manufacturing：
Embedded software often has a closed development environment for each project, making it impossible to utilize external AI/LLM. Furthermore, security standards for embedded software are strict within the supply chain, and the effort required for endless analytical investigations is enormous.
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