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Real software, real boundaries

Engineering execution where your software actually runs.

Production applications depend on databases, queues, internal APIs, private packages and company-specific configuration. Cleveri brings execution to that context, instead of moving your software into an artificial one.

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  • Each Engineering Job runs in its own environment.

  • Credentials are scoped to the work being performed.

  • Your engineers approve the plan; your team approves the merge.

  • Run in Cleveri Cloud, or ask about private deployment for qualified pilots.

How Cleveri works

Your team owns the decisions; Cleveri owns the execution.

  • Your engineer

    Approve

    Confirms the approach before implementation begins, while direction is still easy to change.

  • The platform

    Verify

    Runs your repository's approved build, tests and checks against the delivered code. The coding agent does not decide whether its own work passed.

  • Your team

    Deliver

    A branch and pull request, with its verification results, return to your normal workflow for QA and merge.

Intent stays human. Execution becomes elastic.

Deployment

Cleveri Cloud or private deployment

Cloud and private deployment are the same product with a different execution boundary, and your configuration carries over wherever possible.

Cleveri Cloud

Elastic engineering capacity in Cleveri Cloud.

  • Each Engineering Job runs in its own environment
  • Bring your own AI key or use Cleveri models
  • Per-job spending limits

Private deployment

Cleveri deployed in your own infrastructure.

  • Your source code and execution stay inside your environment
  • Your own AI keys or model gateway
  • Annual licence based on Engineering Lanes, available now for qualified pilots

Measured, not estimated

Every Job has a spending limit.

Set a maximum spend per Job, covering execution and AI usage. If a Job reaches its limit, it stops and moves to Needs Attention, and a person decides what happens next.

Every Job keeps its execution history, AI usage and execution time, so capacity is measured rather than assumed.

P4

Add engineering capacity. Keep engineering control.

Start free on real work, then add Jobs and Lanes as demand grows.

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