Wikistrat: The world’s first crowdsourced consultancy

Wikistrat operates a global network of over 2,000 subject-matter experts working collaboratively via our online platform to help decision-makers identify solutions to complex strategic challenges.

From Our Blog

Assessing the Cold War's New Front Line

Assessing the Cold War’s New Front LineNovember 25, 2016

50 Wikistrat analysts from 20 different countries tested assumptions about a Russian attack on NATO and made recommendations to strengthen the alliance’s defenses.


Wikistrat Crime, Terror and the Internet of Things Report

Crime, Terror and the Internet of ThingsNovember 24, 2016

Wikistrat’s research suggests that public infrastructure and private citizens in their homes are most at risk from attacks using the IoT.


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