What is GBOX AI?
GBOX provides sandbox environments for agents, offering browser, Android, and Linux sandboxes for model testing, execution, and deployment.The platform includes reinforcement learning (RL) environments for agent training, evaluation, and reproducible experiment workflows.
A grounding model for UI operations enables agents to interact with interfaces and automate user-task execution.GBOX supports iterative model development with a playground for rapid prototyping and integrated tooling for testing and debugging.
Documentation and developer resources facilitate onboarding for AI researchers, ML engineers, and application developers.
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GBOX AI's key features
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Sandbox environment model for agents
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Browser, Android, and Linux sandboxes for agents
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Reinforcement Learning (RL) environments for agents
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Grounding model for UI operations
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Training, evaluation, and execution of agents
GBOX AI use cases
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Automate cross-platform end-to-end testing and QA for web, Android, and Linux apps using GBOX's browser/Android/Linux sandboxes and UI-grounding model to run reproducible interface automation, visually debug failures, and iterate fixes without managing separate device fleets
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Train, benchmark, and reproducibly evaluate reinforcement learning agents in realistic simulated UI and task environments using GBOX's RL environments and cross-platform evaluation tools to compare policies, collect metrics, and speed up iteration with integrated debugging and logging
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Rapidly prototype and debug UI-automation models and agent behaviors in GBOX's model-prototyping playground, then produce developer-ready documentation and integration demos for handoff to engineering teams for production deployment
Who is it for?
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Artificial intelligence researchers
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Machine learning engineers
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Software developers
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Software testers
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Ui automation engineers