Modl.ai

Integrationless Setup

No SDKs, plugins, or code changes required. Simply upload your latest build and AI agents test your game externally, analyzing what's on screen and sending simulated inputs just like a player would.

QA teams can automate testing independently without waiting on engineers, keeping development moving at full speed.

Plain Language Instructions

Define tests the way you already think: 'Complete the tutorial', 'Reach level 5', or 'Open the inventory'. No scripting required—just plain language.

AI agents execute each task autonomously and report clear pass or fail results, making test creation accessible to anyone.

Automated Test Runs

Start runs directly from the dashboard or trigger them automatically as part of your CI pipeline. Agents play through tasks while capturing video, logs, and performance data.

Full visibility into behavior and performance across builds, enabling continuous testing without manual intervention.

AI-Powered Bug Reporting

AI analysts detect visual glitches, missing assets, performance issues, and gameplay logic bugs—automatically generating detailed reports with descriptions, visuals, and severity scores.

Teams quickly prioritize fixes and maintain a high-quality experience with actionable insights.

Broader Test Coverage

From daily test cycles to complex flows, AI agents handle routine test cases with intelligent automation—whether you provide step-by-step instructions with expected outcomes or assign open-ended exploratory tasks.

Faster, broader test coverage so you can ship on time with confidence.

Detailed Insights

After each run, analysts generate detailed, actionable bug reports highlighting crashes, broken menus, missing assets, softlocks, and performance drops.

Your team can quickly prioritize fixes and maintain a high-quality experience.

• No integration requiredThe system operates as a black-box solution, observing and interacting with the game purely through visuals. No SDKs, plugins, or code changes are needed, so QA teams can start testing immediately without involving engineering.
• Plain language test definitionTests can be defined in natural language, such as 'Complete the tutorial' or 'Open the inventory'. AI agents execute these tasks autonomously and report clear pass or fail results, eliminating the need for scripting.
• Automatic bug reporting with detailed evidenceAI analysts detect visual glitches, missing assets, performance issues, and gameplay logic bugs. Each report includes descriptions, screenshots, videos, logs, and AI-generated severity scores, helping teams prioritize fixes efficiently.
• Adapts to dynamic gameplayAgents use large language models to reason about changing conditions and adapt to non-deterministic gameplay, responding intelligently to variation in outcomes, UI states, or player paths.

• Platform support is limitedCurrently, testing is supported on Android and desktop platforms only. iOS support is in development, and console and additional PC game workflows are being expanded. Very fast-paced or timing-critical gameplay is not fully supported yet.
• Game-specific training requiredEach game benefits from a custom-trained model to recognize its unique visuals and UI. Initial training typically takes less than a few days, and major visual overhauls or new gameplay features may require a model refresh.
• Not a replacement for human testersThe agent's goal is to test, not to win. It focuses on verifying functionality, performance, and logic rather than mastering gameplay. For test cases requiring advanced player skill or intuition, human testers remain the best fit.
• Best suited for certain game typesThe AI currently excels at testing mobile games and titles with structured interactions or clear UI elements such as match, narrative, card, or turn-based games. Very fast-paced or timing-critical gameplay isn't fully supported yet.

Automated Regression Testing

Upload your latest build and let AI agents run routine test cycles automatically. Define tasks in plain language like 'Complete the tutorial' or 'Reach level 5', and agents execute them autonomously, reporting clear pass/fail results without any SDKs or code hooks.

Exploratory Gameplay Testing

Assign open-ended exploratory tasks such as 'Explore the dungeon' and let AI agents navigate your game like a player. They analyze what's on screen, send simulated inputs, and uncover unexpected bugs in dynamic or random gameplay elements.

Visual and Asset Bug Detection

AI analysts automatically detect visual glitches, missing assets, and broken menus during test runs. Each issue is captured with video and log files, and detailed reports include descriptions, visuals, and severity scores to help your team prioritize fixes.

Performance Monitoring Across Builds

As agents play through tasks, they capture performance data alongside video and logs. The system flags performance drops like stuttering when streaming terrain chunks, giving you full visibility into behavior and performance across different builds.

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