- Location
- Vancouver, British Columbia, Canada
- Bio
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After more than a decade leading international B2B partnerships as a consultant and not-for-profit organization manager and executive, Trevor started Orgmatch to solve the frequent pain-point of B2B partnerships by using tested methods to find the right partners upfront to deliver better outcomes downstream. Previously, Trevor was Co-Founder & COO of Weeve (acquired by LX Ventures in 2013) and was recognized as a top 30 under 30 by BC Business Magazine. Trevor has advised dozens of organizations across North America, Europe, and Africa to raise tens of millions of dollars, including the Transparency International Secretariat, Dr. Peter AIDS Foundation, and One Girl Can. Trevor has served in leadership roles with MakeWay (formerly Tides Canada), the University of Portsmouth, and Coast Funds. He was elected to the Vancouver Park Board for a term from 2011 to 2014, and became a Certified Fund Raising Executive (CFRE) in 2019.
- Companies
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Canada
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- Categories
- International development Environmental sustainability Fundraising Machine learning Artificial intelligence
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Achievements


Latest feedback
Project feedback


Project feedback


Recent projects

Assessment & Profile Setup on Orgmatch
The overall project goal is to reactivate the user base, improve the onboarding process, and create a more engaging experience for users. We want to turn our current experience into a simpler, streamlined experience that allows users to quickly: Claim a pre-created profile or create a new profile from scratch Complete a quick assessment Receive a report and next steps to using our Orgmatch system

Assessment & Profile Setup on Orgmatch
To turn our current experience into a simpler, streamlined experience that allows users to quickly: Claim a pre-created profile or create a new profile from scratch Complete a quick assessment Receive a report and next steps to using our Orgmatch system

Organizational Interaction and Engagement Assessment Project
To test our algorithm of organizations to assess the scientific accuracy of our theory that using relationship and personality-based indicactors, we can predict successful business collaborations between organizations.