Modl

This platform automates game testing and quality assurance with AI agents and AI analysts. The agents play a build from the outside, reading the screen with visual models and OCR and sending simulated inputs the way a player would, so the system needs no SDK, plugin or code change in the game. It is built for game QA teams that want broader test coverage without waiting on engineers. Testers upload a build, then describe tasks in plain language, such as completing the tutorial, reaching level 5 or opening the inventory. The agents run each task on their own and report a clear pass or fail. They can also take open ended exploratory assignments. Runs can be started from the dashboard or triggered from a CI pipeline, and each run captures video, logs and performance data. After a run, the analysts produce bug reports covering visual glitches, missing assets, crashes, broken menus, softlocks, performance drops and gameplay logic bugs. Each report includes a description, visuals and a severity score. Because testing works from what is on screen, it applies across engines and platforms. Pricing is not published on the site. Access is arranged through a demo request.