Anaxi Labs

Anaxi Labs is a physical-AI data infrastructure company founded in 2024 by Carnegie Mellon University alumni in computer science and robotics. The company builds a world-scale AI data supply chain and a programmable marketplace for AI components, focused on turning human know-how into deployable capabilities for the next generation of Physical AI and robotics.

Its platform is engineered to ingest, process and deliver real-world training data at scale, with stated capacity reaching tens of thousands of hours of training data per week across hundreds of scenarios spanning multiple industries. The team has hands-on experience running petabyte-scale datasets through production model-training pipelines, and the offering includes closed-loop evaluation that produces data-quality reports and recommendations before training begins. A compliance architecture and an economic layer are designed to ensure data sovereignty, regulatory adherence and fair compensation for data contributors, and a data marketplace lets users source, verify and monetize datasets used to train robotic and embodied-AI models. Anaxi Labs operates WorldSight (worldsight.ai), a consumer-facing data-contribution platform that pays people to capture everyday physical activities such as cooking, tidying and repairs, converting these moments into structured data that teaches robots real-world tasks. The company is an industry partner of leading academic institutions, including a research collaboration with Carnegie Mellon University on economic frameworks for generative engines. Anaxi Labs positions itself at the intersection of AI data, cryptography and robotics research, aiming to provide benchmark-ready, compliant-by-design datasets that accelerate the development and deployment of physical AI systems and humanoid and service robots.