qtrl

The platform lets QA teams define test steps in natural language and then executes those steps in real browsers, providing a unified environment for both manual and automated verification. Test cases, plans, and runs are stored centrally with full traceability, audit trails, and support for compliance‑oriented workflows. Users can approve AI‑generated tests before they are run, maintaining oversight while the system suggests additional coverage based on existing cases.

Autonomous agents can carry out instructions on demand or continuously, operating across multiple environments such as development, staging, and production. The agents work within defined rules, using real browser execution rather than simulations, and manage per‑environment variables and encrypted secrets without exposing them to the AI.

The system builds an adaptive memory of the application, learning from exploration, execution, and reported issues to improve context‑aware test generation over time. Integration points include requirements management tools and CI/CD pipelines, enabling continuous quality feedback loops while keeping the QA process under the team’s control.