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In this interview from theCUBE + NYSE Wired: Mixture of Experts, Arman Hezarkhani, co-founder and co-chief executive officer of Tenex, joins theCUBE's Dave Vellante to discuss how the AI services company is turning enterprise AI adoption into a durable, high-margin business. Hezarkhani traces Tenex's origin to a gap he noticed between consumer and enterprise AI revenue, and explains how the company bootstrapped its way to $1 million in revenue within a week of launch by focusing exclusively on forward-deployed engineering. He breaks down Tenex's three-part model of strategy, forward-deployed engineering and transformation, and distinguishes between "single-player" AI use cases that spread bottom-up and "multiplayer" use cases that require top-down coordination. The conversation also explores how Tenex builds operating leverage without linear headcount growth, using its proprietary MetaHarness to make engineers progressively faster and cheaper with each engagement. Hezarkhani details the company's flexible pricing models, spanning outcome-based fees, token-based billing and platform fees, and why he prioritizes long-term trust with CEOs over short-term contracts. He also unpacks why exceptional engineering talent, not technology alone, remains the scarcest resource in AI development, and how Tenex competes for talent against well-funded labs through culture, ambition and performance-based pay. From cross-industry pattern-matching to a Friday all-hands he calls his "Super Bowl," Hezarkhani outlines how Tenex is building a company meant to outlast the current AI hype cycle. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - From Inception to Strategy: The Birth of Tenex 02:07 - Transformative AI: Strategic Implementation and Impact 07:42 - Company Transformation Considerations 12:57 - Building a Durable Company 20:25 - Product and Service Offerings 23:38 - Engineering Efficiency and AI 28:13 - Recruitment and Company Culture 31:38 - Integrative Insights and Final Reflections #theCUBE #MixtureofExperts #theCUBEresearch #Tenex #AI #EnterpriseAI

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