Bound is fine-tuned directly on your repository: your source code, architecture, patterns, and conventions. The result is a small, fast model that understands how your system works—not how software works in general.
You own the model. Bound runs locally on your machine. There's no data leaving your environment, no recurring cloud bill, and no dependency on external vendors. You control the model, the training data, and the deployment.
Because Bound is specialized, it performs better on repo-specific tasks than large cloud models:
Bound is not trying to be a general assistant. It's built to be the best possible model for one thing: your codebase.
This makes it especially effective for teams with large or long-lived repositories, strict correctness requirements, or sensitivity around IP and cost. Instead of prompting a general model and hoping it infers context, you start with a model that already has it.