Markov Studios
Markov Studios provides specialized datasets and CAD environments for training computer-use AI models. Their offerings include screen recordings synchronized with mouse/keyboard events and narrations, paired with problem statements, gold output files, and rubrics for verifiable outcomes. The company covers professional tools like AutoCAD, SolidWorks, Siemens NX, SketchUp, Revit, and CATIA, plus additional supervised fine-tuning data for browser use, coding, design, spreadsheets, and productive workflows.
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Founder details are not available yet.
Product
Problem
Training AI models to interact with complex computer applications requires vast amounts of high-quality, verifiable demonstration data. Generic web-scraped datasets lack the structured workflows, synchronized interaction signals, and objective outcome validation needed to develop reliable computer-use agents for professional software environments.
Solution
Markov Studios provides specialized datasets and CAD environments designed for training computer-use AI models. Their data includes complete screen recordings synchronized with mouse and keyboard events and narrations, capturing full workflows across professional design tools. Each dataset is structured around problem statements, input references, gold output files, and rubrics, enabling verifiable model training and evaluation. The company also offers CAD environments and supervised fine-tuning data spanning browser use, coding, design, spreadsheets, and productive workflows.
Target Audience
Primary customers are AI research labs, model developers, and enterprise teams building computer-use agents or AI assistants that need high-quality, verifiable training data for professional software environments.
Features
- Screen recordings with synchronized mouse/keyboard events and narrations for multi-modal AI training
- Problem statements paired with input references and gold output files for supervised learning
- Rubrics-based evaluation criteria enabling verifiable, objective outcome assessment
- CAD environments supporting AutoCAD, SolidWorks, Siemens NX, SketchUp, Revit, and CATIA
- Additional CUA SFT datasets covering browser use, coding, design, spreadsheets, and productive workflows