Wikistrat: The world’s first crowdsourced consultancy

Wikistrat operates a global network of over 5,000 subject-matter experts working collaboratively via our online platform to help decision-makers identify solutions to complex strategic challenges.

From Our Blog

Rethinking U.S. Navy Partnerships

Rethinking U.S. Navy PartnershipsJanuary 12, 2017

Wikistrat’s analysts argue that naval partnerships in Asia will become even more important and that the U.S. needs to invest more in them.


Impact of Artificial Intelligence on Commercial Transportation cover

Impact of Artificial Intelligence on Commercial TransportationJanuary 4, 2017

Wikistrat’s experts analyze the impact of AI in transportation on energy and finance as well as electricity and transportation infrastructure.


Enterprise platforms like Wikistrat can provide easy access to specialists from many walks of life – professionals, freelancers, and hobbyists – who have the motivation, qualifications, and flexibility to create innovative ideas and execute assignments promptly." Vimi Grewal-Carr and Carl Bates, LLP
"Wikistrat gave us a way of seeing our biases. We're predominantly ex-military males and by the time we get into authority positions we're quite similar." Dick Bedford, Branch Head of Strategic Engagement at the Allied Command Transformation division of NATO
"That Wikistrat could out-forecast the world's leading intelligence agencies seems almost farcical. But it is an eye-opening example of yet another way that crowdsourcing is upending conventional wisdom." Aaron Stanley, Financial Times
"The sheer number of ideas Wikistrat's workshop generated in a short period suggests that opportunities to capitalize on new information flows may be limited only by our collective imagination." Jim Eckenrode, Executive Director, Center for Financial Services at Deloitte
"One of the strengths that we see for this crowdsourced approach is the amount of eyes assembled to look at an issue in a short amount of time. For this reason, huge amounts of information can be processed and synthesized much faster than with linear models." Tim Haffner, U.S. Africa Command