Source code and data stay inside the company
Storage, modification, and execution are all managed within your own security boundary.
Private enterprise deployment
Installed directly on your own servers to deploy and operate apps and AI services. Connect securely to the internal systems you already run, without source code or business data leaving the company.
The core operating capabilities are in place, and we are expanding the features needed for large-scale enterprise environments step by step.
Deployment and AI usage are shaped to fit an internal environment, cutting the risk of anything leaving the perimeter while services improve faster.
Storage, modification, and execution are all managed within your own security boundary.
Verify a new version before switching traffic to it, and roll back quickly to the previous state when something goes wrong.
Databases and business systems are connected securely and put to work in new apps and AI services.
Fast development is supported without losing the operating standards an enterprise needs: approval, access control, audit records, and recovery.
The health of a new version is checked before the switch, and traffic returns to the previous version if a problem appears.
Lower risk of service disruptionYour internal repository is the source of truth, and outbound connections are restricted according to your security policy.
Core assets never leave the perimeterEdits can be drafted through conversation, but nothing lands in the codebase until the responsible engineer has reviewed the change.
Automation with human control intactAccess credentials are protected centrally, and there is a record of who used what.
Safe reuse of existing assetsIntegrate with your corporate identity provider and separate permissions by role. Operating models range from a single small team to environments shared across multiple organizations.
Adoption without rewriting your policiesDevelopers and operators review changes and manage services within the same flow.
Pick the project to deploy from your internal repository.
Edits proposed by people and by AI are approved by the engineer responsible.
Only a version whose health has been confirmed is switched into production.
Permissions, usage history, service health, and rollback records are all managed.
The architecture of Chofam PaaS and what is implemented today can be reviewed on GitHub.