Structured training data that teaches AI models to see, interpret, and act within any graphical user interface — across every operating system, browser, and application.
What We Do
GUI grounding enables AI to bridge the gap between visual perception and actionable interaction within software interfaces. It's the foundational capability that allows models to navigate any screen the way a human does.
Precise identification and classification of UI components — buttons, menus, text fields, toggles, icons — across any application or platform.
Understanding layout hierarchy, positional relationships, and visual grouping of interface elements within any screen environment.
Connecting natural language instructions to exact screen coordinates and interaction sequences — click, type, scroll, drag — with pixel-level accuracy.
Complete coverage across browsers, native desktop applications, and OS-level interfaces on Windows, macOS, and Linux.
Data Coverage
A proprietary hierarchical framework ensuring comprehensive coverage of real-world GUI interactions across every professional domain.
Our taxonomy maps the entire landscape of professional GUI interaction — from marketing automation platforms to software development environments, from financial dashboards to creative production tools.
Each domain is broken down into specialized roles and their associated tools, ensuring our training data reflects how real professionals actually use software.
Our Approach
A rigorous, structured pipeline designed to produce training data with the coverage, precision, and consistency that production AI models demand.
Our hierarchical framework maps Job Categories to Roles, Tools & Software, Meta Tasks, and Concrete Tasks — five depth levels ensuring every real-world workflow is represented.
Our data spans the entire desktop environment — not just browsers. Native applications, system settings, creative suites, IDEs, and enterprise software are all covered.
Every annotation is reviewed for spatial precision, semantic correctness, and cross-platform consistency by trained data specialists.
About
Screen Labs is a data infrastructure company specializing in GUI grounding for artificial intelligence. Our team combines deep expertise in machine learning, human-computer interaction, and large-scale data operations to build the training datasets that power the next generation of AI models.
We've developed a proprietary taxonomy covering 581 professional roles across 10 major industry domains, generating structured interaction data for thousands of software tools and platforms. Our data enables AI to navigate and operate any graphical interface with human-level spatial understanding.
From browser-based applications to native desktop software and OS-level system interfaces, our datasets provide the grounding truth that models need to act precisely and reliably in any screen environment.
We don't sample — we systematically map every professional domain, role, and tool to ensure no interaction scenario is left uncovered.
Pixel-level bounding boxes, semantic labels, and action sequences — verified by multiple reviewers with domain expertise.
Built to produce millions of high-quality, structured GUI interaction records across all major operating systems and application categories.