Miraxis AI Information

Miraxis is building the data layer for physical AI. The next generation of robots and embodied AI systems will not be trained by language alone. They need high-quality data from the physical world: human demonstrations, robot trajectories, multi-view video, sensor streams, and the context that connects perception to action. Miraxis exists to make that data usable, trustworthy, and scalable. We aggregate, clean, structure, validate, and deliver rights-cleared physical AI datasets for teams building humanoids, robotics foundation models, and real-world automation systems. Our work starts with practical data pipelines across egocentric, exocentric, end-effector, robot-centric, human-to-robot, and allocentric perspectives; the viewpoints required to teach machines how people move, how robots act, and how environments change. Over time, our platform expands from curated partner and vendor data into purpose-built capture operations and synthetic data generation. The goal is simple: give physical AI companies the data foundation they need to build, evaluate, and deploy capable machines faster. We believe the bottleneck in robotics is no longer just hardware or models. It is the availability of trusted, diverse, physically meaningful data collected and packaged in a way that can actually improve real-world performance. Miraxis is creating the infrastructure to close that gap. From real-world capture to synthetic generation, we are building the data foundation for machines that understand and operate in the physical world.