Enterprise codebases are core intellectual property. CodeLoom AI is designed from day one so customer source code is never used to train foundation models and every test execution runs inside an isolated, ephemeral sandbox.
Customer source code, AST dependency graphs, and characterization test outputs are never used to train, fine-tune, or improve shared AI models. All model inference calls are stateless.
Baseline characterization suites and candidate migration diffs execute inside network-restricted, ephemeral containers that are destroyed immediately after the verification run completes.
For regulated organizations, CodeLoom AI's graph analysis and test execution engine is designed to run entirely inside your own cloud VPC or on-premises CI infrastructure.
CodeLoom AI never pushes directly to main or production branches. Its sole output is a scoped, test-verified pull request subject to your existing branch protection rules and human code review.
Reach out directly to our engineering leadership to discuss VPC runner topology, sandbox isolation, and pilot scope.