Markov provides high-quality computer-use data tailored for AI development, specifically supporting frontier research labs. The company has delivered over 33,000 hours of expertly collected data, enabling advanced training in areas like reinforcement learning and human-computer interaction. Its open-source datasets have achieved more than 200,000 downloads on Hugging Face, demonstrating strong adoption within the AI research community.
Based in San Francisco, Markov was founded in 2026 by a two-person team focused on data engineering and labeling solutions. The startup operates in the EdTech sector with a B2B seed-stage model, targeting organizations developing next-generation AI systems. It is featured on Nova Startup, a global directory highlighting innovative early-stage companies. Tags include Reinforcement Learning, Data Labeling, Data Engineering, and Summer 2026, reflecting its focus and timeline.