This project develops statistical inference and automated reasoning techniques that provide the foundations for automatically analyzing large sets of corporate and individual entity metadata on a large scale. Using real-world datasets drawn from public and proprietary data, we will evaluate our techniques for several applications, e.g., investigating foreign ownership in US industries via shell corporations, and tracking government subcontractor relationships for foreign influence.