We believe AI agents should write code that follows your team's conventions, not their own. Uzera gives every coding agent the context it needs to produce consistent, governed, production-ready code.
Engineering teams are adopting AI coding agents faster than governance can keep up. Code is being generated across dozens of tools with no shared understanding of your architecture, patterns, or conventions.
Uzera solves this by building a structured Knowledge Tree from your codebase and making it available to every agent through MCP. We add the rules, observability, and audit trails that turn AI-assisted development from a productivity hack into an enterprise-ready workflow.
We never train on your code, share it across accounts, or use it for anything other than delivering the service to you. Zero exceptions.
Speed matters, but so does quality. We help teams move faster without sacrificing the conventions and standards that keep codebases maintainable.
Every agent action is logged in tamper-evident audit trails. You should always know what AI did, why, and whether it followed your rules.
We work with Claude Code, Cursor, GitHub Copilot, Windsurf, and any MCP-compatible agent. No lock-in, no bias.
Built by engineers, for engineers. Our CLI, APIs, and integrations are designed to fit naturally into existing workflows.
Knowledge Trees are structured metadata, not raw code dumps. This means faster queries, smaller context windows, and more accurate agent output.
Start a free pilot and see how Uzera gives every coding agent the context and rules it needs.
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