In-house AI Server
You don’t want public AI reading your source code.
So we build an AI server that stays inside your company — from the hardware up to the code analysis and fixing environment.
Source stays in-house
All AI processing happens inside your internal network. Your source code is never sent to a public AI service.
From the hardware up
We select and procure the server, set up the OS and AI runtime, and install it on your network — all in one engagement.
Built for code work
We configure the AI model and tooling for analyzing source code, drafting fixes and developing conversion tools.
Same setup as migration
Integrated with GitHub / GitLab and CI (automated RPA tests), it serves both migration projects and post-migration operations.
Architecture — everything inside your network
The AI server has three layers: hardware, AI model, and code analysis and fix tools. Your engineers register issues in GitHub / GitLab, and the AI server reads the code in-house and returns a proposed fix as a pull request.
AI only drafts the fix. Changes are merged after they pass automated tests and are approved by your engineers.
What the AI server does
Source code analysis
Understand specifications, trace processing and assess the impact of changes — without the code leaving your company.
Drafting fixes
From bug, change and feature issues, AI drafts a fix and returns it as a pull request.
Building conversion tools
The conversion tools used in AI-driven modernization can also be developed and improved on your in-house AI server.
How we build it
Requirements
We learn the size of the codebase, the number of users and how you will use it (analysis, fixing, tool development).
Hardware selection
We propose and procure a GPU server configuration that fits your use and budget.
Server build
We set up the OS, drivers and AI runtime, install the server on your network and configure access control.
AI environment
We install an open AI model and configure the tools used for code analysis and fixing.
Integration & testing
We connect GitHub / GitLab and CI (automated RPA tests) and verify it with your code.
Operation & support
After handover, we continue with model updates, incident response and user support.
Comparing the options
Configuration and cost are quoted individually based on codebase size and number of users. If you want to keep capital costs down, you can also connect to our AI server over VPN under an NDA.
Compare where AI runs (Post-Migration Operations) →Use AI without your source code leaving the company
Tell us about the system, the size of the codebase and the number of users. We will propose a configuration and estimate, and are happy to sign an NDA first.
TEL +81-3-5962-3776