For engineering teams building with AI

    The verification layer that scales with development velocity.

    Vision-based agents that adapt, decide, and verify across complex applications.

    Trusted by innovative engineering teams

    • Lemonade
    • Deutsche Telekom
    • Tinder
    • Tilt
    • LiveU
    • Papa Johns
    • HiBob

    The challenge

    Why teams need a verification layer.

    AI helps engineering teams produce more software without increasing team size. The verification work still has to happen before release.

    More code, same team.

    AI increases development output, but engineering teams aren’t growing at the same rate.

    Manual checks don’t scale.

    As change volume grows, manual validation creates more work between code and production.

    Keep releases moving.

    Verification needs to keep pace so increased development output can translate into faster releases.

    The AI-assisted development flow

    From AI-generated code to independently verified software.

    Loadmill adds an independent verification step to your AI development flow.

    1. 1

      Build with AI

      Your engineer works with a coding agent to build or modify a feature.

    2. 2
      OpenAI coding agent
      Delegate verification
      Loadmill verification agent

      Delegate verification

      Your coding agent hands the change to Loadmill, which automatically runs the relevant verification before the change moves forward.

    3. 3

      Verify before shipping

      Loadmill independently runs the application, validates the expected behavior, and returns the result before the change moves forward.

    Why Loadmill is different

    Verify the experience,
    not the implementation.

    Loadmill uses vision-based agents to interact with applications the way users do, without depending on selectors or implementation details.

    • See what the user sees

      Verify the rendered application, not the code underneath it.

    • Adapt to what happens

      Agents can make decisions as conditions change and continue toward the goal.

    • Go where traditional automation struggles

      Verify workflows across mobile, desktop, legacy and packaged software.

    Built for engineering teams

    Built for engineering velocity.

    Real application behavior

    Verify what the application actually does across UI, API, and end-to-end behavior.

    Less manual verification

    Reduce the repeated validation work that increasingly falls back on developers.

    Evidence for every run

    Get clear pass/fail results, execution evidence, and actionable failure details for every verification.

    Keeps pace with change

    Run verification continuously as your team and coding agents create more software.

    Coding agent integrations

    Works with the coding agents your team already uses.

    Your coding agent builds the change. Loadmill independently verifies the resulting behavior before it moves forward.

    • Claude
    • Cursor
    • Codex
    • GitHub Copilot

    Start verifying at AI speed.

    Give your team a verification layer that keeps up with development velocity.