Advisory Board Member Profile
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Trevor Silver
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Exusia
CEO 
Area of Expertise
Big Company Challenges, Innovation Processes, Digital Transformation,, Innovation Tools to Automate Processes
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Trevor Silver is the Founder and CEO of Exusia where he looks after global sales, investments and operations across the Americas, Europe, Africa and Asia. In 2012, Trevor and Exusia entered the market to help fortune 100 clients monetize data by building systems that specialized in analyzing massive amounts of information to make critical sub-second decisions. Since then, Exusia has been recognized for being one of the fastest growing IT Services companies by publications such at Crain's, Inc. Magazine, CIO Bulletin, CIO Look, Industry Era and the CIO Review. As CEO, Trevor has led Exusia to the prestigious Inc. 5000 recognition 3 times, including finishing #18 overall (#2 in IT services) in 2016. Today, Exusia is an ISO 27001 certified global solutions provider that continues to expand its markets and capabilities through the delivery of hundreds of projects to clients across all industries and global regions.
Prior to founding Exusia, Trevor was a Partner and served on the Board of ITI Data where he expanded client sales by over 3500% in less then 3 years. Before ITI, Trevor was a Senior Principal at Knightsbridge Solutions (acquired by HP in 2007), where he was responsible for consulting teams of 200+ global resources and gross sales of $33 Million over a three-year period. Trevor founded his first company at nineteen when, after winning an algorithm competition in Chicago, IL to build a commercial real estate auction application. Thereafter, he served as the technical lead of a team of eight working on C# applications for Microsoft’s Vista release and as a senior data engineer at FICO. Trevor holds a bachelor’s in computer science from Purdue University in West Lafayette, IN where he received Microsoft's Software Engineering MVP. Trevor has also taken postgraduate studies in international business at Harvard University and machine learning and data science at the Massachusetts Institute of Technology (MIT), both in Cambridge, MA.
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