Markov
Data and environments for training computer-use AI
Markov provides datasets and environments for training computer-use AI models. The company records how people use computers and converts those recordings into training data, addressing the need for examples of complete workflows with synchronized interaction signals and verifiable outcomes.
Its datasets include screen recordings with synchronized mouse and keyboard inputs, narrations, problem statements, input references, and gold output files with rubrics. CAD environments cover AutoCAD, SolidWorks, Siemens NX, SketchUp, Revit, and CATIA. CUA SFT data spans browser use, coding, design, and spreadsheets. Open-source work on Hugging Face includes computer-use recordings across applications such as Salesforce, Blender, and Photoshop, as well as gaming data with synchronized inputs across titles including Valorant, Minecraft, and GTA.
Markov offers data samples and datasets for training and evaluation, with contact through a direct inquiry channel.
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