Case Study: Stanford University professor Michael Levitt boosts research productivity with X1 Search

Nobel Laureate Relies Daily On X1 To Sift Through Academic Research

Stanford University professor and Nobel laureate Dr. Michael Levitt needed a better way to search and manage 200 gigabytes of critical data on his laptop, including more than 300,000 emails and decades of academic research. Working on a Macintosh with Windows virtualization, he relied on X1 Search to help him quickly make sense of his information without slowing down his research or communications.

X1 provided its fast, iterative, faceted search capability to let Dr. Levitt instantly locate emails and research materials across his stored data. The result was major productivity gains, with Dr. Levitt saying X1 saves him many hours each week and is an essential part of his workflow, nearly an extension of his mind for information retrieval.

Stanford University

Michael Levitt

Professor of Structural Biology