Speaker profile

Benjamin Thomas


Benjamin Thomas is the CEO of EDJX, the intelligent edge OS and computing platform that makes it easy to write, deploy, and execute IoT and other applications using serverless computing and an edge mesh network of micro-compute and storage nodes to minimize latency, eliminate expensive backhauling of data, accelerate content delivery, and rapidly deploy IoT sensors at the far edge. His diverse technology and business experience includes being an industry disrupter in the travel and veterinary services industry. In prior ventures, he managed large-scale offshore development teams, overseeing the development of over 100 software applications. Benjamin founded and grew a chain of veterinary practices to $42 million in revenue and 450 employees through 28 acquisitions in 7 states. The practice grew 25% per year topline and 35% margin growth from inception, and was sold to a PE funded group in 2020, yielding a 100% return to initial investors. Benjamin advised Goldman Sachs on a novel strategy to enhance earnings of a subsidiary prior to initial public offering in 2004 of Strategic Hotel Capital. He founded a group to lead the management buyout of the largest private hotel room distributor, with $360 million in annual bookings in 2003. The company tripled before selling to PE in 2009, yielding an average IRR of 39% to investors. Benjamin’s career began as an engineer for NASA\Lockheed Martin, followed by Accenture. Benjamin was a nominee for Ernst and Young’s Entrepreneur of the Year award. He holds a BS in Mechanical Engineering with Honors from Tulane University, and an MS, Management from Stanford University.


Edge Executive Conference - Day 2 - October 12, 2022
Panel: Intelligent Infrastructure to Build the Platform for Future Growth
Intelligent Infrastructure (Edge Executive Conference)
Speaking companies: The Autonomy Institute, PemReal Advisors & TeraTrends, EDJX
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Edge World Summit - Day 2 - November 15, 2023
Location at the Edge
Edge Developers Conference
Speaking companies: Rendered.ai, EDJX, Hewlett Packard Enterprise
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