KGeN Expands Into Physical AI, Bringing Verified Human Intelligence to Robotics, and Autonomous Systems
San Francisco, June 26, 2026, KGeN, the world’s largest verified human network powering AI training and evaluation, is expanding into the Physical AI sector, extending its infrastructure from large language model training to robotics, autonomous systems, and embodied AI applications.
The move comes as AI development shifts beyond digital environments into real-world systems capable of perception, decision-making, and physical action. Industry observers increasingly view Physical AI as the next frontier of artificial intelligence, encompassing robotics, autonomous vehicles, industrial automation, and AI agents that interact directly with the physical world.
KGeN said it will leverage its network of more than 61 million verified users across 60 countries to provide human intelligence, feedback loops, evaluation frameworks, and real-world interaction data required for training and validating Physical AI systems. The company has previously built infrastructure supporting reinforcement learning, preference modelling, and human evaluation for frontier AI models through its VeriFi protocol and AI data network.
Unlike traditional AI datasets that are largely digital, Physical AI systems require continuous human-in-the-loop validation to understand real-world environments, edge cases, safety constraints, and behavioral preferences. KGeN believes verified human participation will become a foundational layer for the next generation of autonomous agents operating beyond screens.
“AI is moving from generating content to taking action. As robots, autonomous agents, and physical systems become increasingly capable, the challenge is no longer just intelligence. It is alignment with human intent, safety, and context. We see verified human intelligence becoming a critical infrastructure layer for Physical AI,” said Manish Agarwal, Co-founder of KGeN.
The expansion builds on KGeN’s broader strategy of positioning itself as a human layer for AI development. While continuing to grow its decentralized AI data business serving frontier AI laboratories, KGeN’s future deployments will focus on robotics labs, autonomous agent ecosystems, and enterprises developing Physical AI applications.
As investment and research activity increasingly converge around embodied intelligence, KGeN’s expansion reflects a broader industry shift toward integrating human feedback, identity, and trust mechanisms into the next generation of AI systems operating in the real world.
For more information:
Website: https://kgen.io/
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Media Contact:
Saheli Chatterjee