You ship fast with Cursor, Claude Code, Lovable or Replit. The agent scans what went in, fixes what's exposed and hands back a locked-down app.Join the waitlist
You choose the level per task type. Increase autonomy when you trust the results, and dial it back at any time without stopping what is already running.
Auditor
The agent reads the repository and the pull requests your AI tools open, and returns its analysis as comments. It doesn't create branches, write files or open pull requests. It lets the team measure its accuracy against their own review, and find out how much of what's already going into the repo would pass this bar.
Advisor
The agent creates a branch and opens a draft pull request, with the change, the rationale and the test results. Review and the merge request stay with the team.
Executor with approval
Approval covers that task, not the repository policy. Once the proposal is approved, the agent applies the change, follows the pipeline, fixes lint and test failures and updates the ticket.
Autonomous executor
For low-risk fix classes you define, secrets out of the bundle, security headers, rate limiting, dependencies with known CVEs, input validation, the agent fixes it on a branch, runs the tests and logs before and after.
Works no matter which tool generated the code: the review happens on the pull request. The agent runs on top of what already exists, via API, MCP or webhook, always with least privilege and a full trail.
We don't replace your pipeline or your coding tool.
Your repository is not used to train models, nor shared across customers.
Instructions hidden in an issue, README, comment or MCP tool description are treated as content to analyze, never as an order to execute. What the agent can do comes from its configuration.
Secrets, credentials and customer data are out of scope. The agent works in a development environment.
A dedicated environment per customer, with segregated network and credentials.
A token per task and per repository, with permissions limited to what that flow requires.
You define how long context and history are stored, and delete them whenever you want.
No new portal to learn. You ask, follow along and approve in the app that is already open. Scope, limits and audit trail are the same in every interface.
The agent comments where the review already happens. Approval by command or through the repository's own review.
The agent replies in the team's thread, flags what needs attention and takes approvals in one click.
For teams that already operate there. Commands, alerts and approvals inside the squad's channel.
Where you configure the rules, set the autonomy level per task, review the audit trail and browse the full history.
Switching interfaces does not switch the rules. Same scope, same limits, same log in all of them.
UPX treats every access to real systems as a privileged credential. You change the autonomy; isolation, traceability, safeguards, and scope remain in force across all four levels.
Choose the plan that matches the pace of your operation.
One shared AI employee for your entire team.
Click to see all available plans.
Everything on the platform, plus:
*The 7-day free trial is available exclusively on the US$ 100 plan. All other plans start with immediate subscription.
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