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Build the Service Layer for Physical AI
Define how robots, data, and human work come together to advance intelligence in the real world.
PrismaX is a robotics-native service layer setting the standards for how physical AI systems are deployed and improved.
We operate human-in-the-loop systems where people and robots work together in real environments. Through these systems, we define how robotic work is performed, how high-quality interaction data is generated, and how that data advances intelligent behavior.
Every deployment contributes to a compounding cycle: human-guided robot operation produces structured real-world data, that data improves models, and improved models make robots more capable in the next deployment.
Join us in building the infrastructure that makes physical AI deployable, repeatable, and scalable.
Operations
Menu
Build the Service Layer for Physical AI
Define how robots, data, and human work come together to advance intelligence in the real world.
PrismaX is a robotics-native service layer setting the standards for how physical AI systems are deployed and improved.
We operate human-in-the-loop systems where people and robots work together in real environments. Through these systems, we define how robotic work is performed, how high-quality interaction data is generated, and how that data advances intelligent behavior.
Every deployment contributes to a compounding cycle: human-guided robot operation produces structured real-world data, that data improves models, and improved models make robots more capable in the next deployment.
Join us in building the infrastructure that makes physical AI deployable, repeatable, and scalable.
Operations
Menu
Build the Service Layer for Physical AI
Define how robots, data, and human work come together to advance intelligence in the real world.
PrismaX is a robotics-native service layer setting the standards for how physical AI systems are deployed and improved.
We operate human-in-the-loop systems where people and robots work together in real environments. Through these systems, we define how robotic work is performed, how high-quality interaction data is generated, and how that data advances intelligent behavior.
Every deployment contributes to a compounding cycle: human-guided robot operation produces structured real-world data, that data improves models, and improved models make robots more capable in the next deployment.
Join us in building the infrastructure that makes physical AI deployable, repeatable, and scalable.