AI agent, built to run inside your pipeline
Reviews pull requests, triages scanner findings and bumps dependency versions inside the repo and pipeline you already use. You define what it does on its own, and revoke it whenever you want.Join the waitlist
Those who write code and those who answer for it have different priorities.
Those who write the code
Less time on work that is not an engineering decision
- Pull request review with repo context: the team's standards, the file's history and existing tests.
- The agent proposes on a branch and opens a pull request. Nothing enters the main branch without human review.
- A vulnerable dependency updated with the build result and what broke already attached.
Those who answer for the code
Vulnerabilities handled in the cycle, not in the audit
- SAST, DAST and SCA findings prioritized by real exploitability, not by nominal severity.
- A record of which change the agent proposed, who approved it and what entered the codebase.
- Secrets, credentials and production data out of the agent's reach by configuration.
Four steps that eat up a developer's time.
Pull request review
Today
The pull request waits for a senior reviewer to be available.
With the UPX AI Agent
The agent reviews on open and calls in a human only for what requires an architecture decision.
Vulnerability triage
Today
The scanner produces hundreds of findings with no indication of what is exploitable.
With the UPX AI Agent
The agent separates the exploitable from the noise and describes the execution path.
Dependency update
Today
The bump sits still because no one knows what it breaks.
With the UPX AI Agent
The agent bumps the version on a branch, runs the tests and reports what failed.
Incident investigation
Today
The investigation starts by piecing together logs, alerts and deploy history by hand.
With the UPX AI Agent
The agent builds the timeline and correlates it with the last change shipped.
You define how far the agent goes on its own.
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
It analyzes and comments
The agent reads the repository, the security findings and the open pull requests, and returns its analysis as comments. It does not create branches, write files or open pull requests. It lets the team measure its precision against their own review.
Advisor
It proposes as a draft
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
It executes after 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
It resolves and logs
For low-risk task classes you define, patch updates, lint fixes, changelog, closing duplicate tickets, the agent executes without intervention, within the configured scope and with a full log.
Your agent works with the tools your team already uses.
The agent works connected to your ecosystem. It can consult information, cross-reference data and execute tasks in systems that are already part of your operation.
Code
Code context to investigate faster.
The agent can consult repositories, changes and pull requests to support review, diagnosis and prioritization of what needs attention.
GitHub
GitLab
Bitbucket+ integrations via API and MCP
Your repository is a critical asset, and access to it is treated as such
Code does not become training
Your repository is not used to train models, nor shared across customers.
No production access
Secrets, credentials and customer data are out of scope. The agent works in a development environment.
Isolation
A dedicated environment per customer, with segregated network and credentials.
Auditable trail
Every read, suggestion and commit is logged, with author and approver identified.
Least privilege
A token per task and per repository, with permissions limited to what that flow requires.
Retention
You define how long context and history are stored, and delete them whenever you want.
It works where
your team already is.
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.
Telegram
Questions and approvals from your phone, with answers in natural language. Useful for people who decide away from their desk.
Slack and Teams
The agent replies in the team's thread, flags what needs attention and takes approvals in one click.
Discord
For teams that already operate there. Commands, alerts and approvals inside the squad's channel.
Web console
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.
Join the waitlist
and be notified at launch.
Leave your contact details. When the agent is available, UPX will reach out.
Common questions
Companies that trust UPX
