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A Conversation with Markus Levin
Michael Peres is joined by Markus Levin, co-founder of XYO and a veteran entrepreneur with 15+ years building and scaling tech companies around the world. After mining his first Bitcoin in 2013, Markus became deeply involved in blockchain, data infrastructure, and new business models at the edge of Web3, AI, and robotics. Today, he’s focused on decentralized physical infrastructure networks (DePIN) and how they can unlock the next generation of real-world automation.
In this episode, you’ll learn:
• How decentralized physical infrastructure networks (DePIN) could become the missing verification layer robots need to operate safely outside controlled environments
• Why AI-driven, blockchain-backed sensor networks may be critical for helping robots confirm that what they “see” is actually real
• How DePIN-based consensus systems could tackle one of robotics’ biggest limitations: filtering, ranking, and challenging unreliable sensory data in dynamic environments
• Ways decentralized networks can add transparency, resilience, and trust to robot decision-making without relying on a single vendor or cloud provider
• Why the combination of edge AI, DePIN sensors, and distributed verification might become the foundation for truly scalable, real-world autonomous machines
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By Michael PeresMichael Peres is joined by Markus Levin, co-founder of XYO and a veteran entrepreneur with 15+ years building and scaling tech companies around the world. After mining his first Bitcoin in 2013, Markus became deeply involved in blockchain, data infrastructure, and new business models at the edge of Web3, AI, and robotics. Today, he’s focused on decentralized physical infrastructure networks (DePIN) and how they can unlock the next generation of real-world automation.
In this episode, you’ll learn:
• How decentralized physical infrastructure networks (DePIN) could become the missing verification layer robots need to operate safely outside controlled environments
• Why AI-driven, blockchain-backed sensor networks may be critical for helping robots confirm that what they “see” is actually real
• How DePIN-based consensus systems could tackle one of robotics’ biggest limitations: filtering, ranking, and challenging unreliable sensory data in dynamic environments
• Ways decentralized networks can add transparency, resilience, and trust to robot decision-making without relying on a single vendor or cloud provider
• Why the combination of edge AI, DePIN sensors, and distributed verification might become the foundation for truly scalable, real-world autonomous machines