modl.ai

modl.ai sits in a part of game development that gets far less attention than asset generation but eats a huge share of a studio's schedule: quality assurance. Rather than generating art or dialogue, it deploys AI agents that actually play the game, exploring levels, triggering mechanics and behaving the way real players do. The platform splits into two products. modl:test runs automated QA bots that hunt for crashes, glitches and performance problems, returning video recordings, log files, crash maps and severity scored reports rather than a raw stack trace. modl:play simulates player behaviour across different skill levels, which is what makes it useful for balance passes, onboarding flow validation and multiplayer design where you need bodies in a match before you have players. The bots are adaptive rather than statically scripted, learning gameplay behaviours and exploring in ways a recorded macro never would, and a built-in data pipeline ingests telemetry from internal and live players to keep retraining them against real behaviour. It hooks into game engines and CI pipelines so every new build gets test coverage automatically with close to no setup work per build.