born at University of Waterloo, is pioneering AI interoperability with Heisenberg, a decentralized platform revolutionizing AI-ready data processing. By leveraging idle CPU resources, Heisenberg redefines how data is prepared, managed, and distributed, making AI infrastructure more accessible, efficient, and cost-effective.

At its core, Heisenberg is powered by Data Agents—autonomous entities that collaborate to transform raw information into structured intelligence. This decentralized approach eliminates vendor lock-in, reduces costs compared to centralized solutions, and ensures seamless, scalable data movement for AI training, fine-tuning, and inference. By bridging the gap between fragmented datasets and AI applications, Heisenberg is setting a new standard for open and interoperable AI ecosystems.