Modl

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Modl is an AI-powered game testing and QA tool that uses AI agents and analysts to automate bug detection. It offers faster, broader test coverage without requiring SDKs or code integration.

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At a glance

Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is Modl?

Modl is an AI-driven platform designed to automate game testing and quality assurance, helping developers find bugs, glitches, and performance issues more rapidly. It leverages AI agents and analysts to provide comprehensive test coverage, allowing QA teams to operate independently without needing SDKs, code hooks, or engineering support. Users can instruct the AI in plain language for daily test cycles or complex flows, and the system handles routine test cases as well as open-ended exploratory tasks. Modl automatically generates detailed bug reports with descriptions, visuals, and severity scores for detected issues like visual glitches, missing assets, and gameplay logic bugs. The platform supports testing on Android and desktop, with iOS support in development, and is particularly effective for mobile games and titles with structured interactions.

Best used for

Ideal for game developers and QA engineers who need to automate game testing, identify bugs and glitches, and ensure broad test coverage. Especially valuable for teams looking to integrate testing into their CI pipeline without requiring complex SDKs or code changes.

Common actions

automate game testing

detect game bugs

analyze game performance

streamline QA workflow

"AI Agents"Educationgaming

Capabilities

Key features

Integrationless game testing
Plain language instructions
Automatic bug reporting
Visual AI agents
Performance data capture
CI pipeline integration

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Contact for Pricing

FAQs

How does Modl's AI interact with games without integration?

Modl's AI agents use visual models and OCR to understand on-screen elements, reading text, UI, and game states like a human tester. It operates as a "black-box" solution, analyzing what's on screen and sending simulated inputs, requiring no SDKs or code changes to your game.

What types of games are best suited for Modl's AI testing?

The 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. Support for PC and console games is expanding, but very fast-paced or timing-critical gameplay is still under development.

Does the AI need to be trained for each specific game?

Yes, each game benefits from a custom-trained model to help the AI recognize its unique visuals and UI. This training is mostly handled by Modl using data from test runs, requiring minimal input from your team, and typically takes less than a few days initially.

What kind of issues can Modl's system detect?

Modl can identify visual glitches, missing assets, performance drops, and gameplay logic issues. It also processes log files for exceptions and errors, and tracks device/platform performance data, generating detailed bug reports with evidence and severity scores.

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