Prior Labs is a research-driven company focused on building foundation models for tabular data - the structured information found in spreadsheets and databases. Its work targets applications in scientific discovery, medical research, financial modeling, and business intelligence. The team comprises over 20 engineers and researchers drawn from leading institutions, and the company is advised by Turing Award winner Yann LeCun.
The company's technical scope spans foundation models, tabular machine learning, agentic AI systems, and data fusion across tables, language, and images. Its flagship product, TabPFN, is a foundation model for tabular machine learning that was published in Nature and has achieved state-of-the-art performance. The model has seen significant adoption, with over 2.5 million downloads and 5,500 GitHub stars.
