As AI systems move from experimentation into legal, financial, infrastructure, and consumer environments, the absence of operational governance becomes a material risk. Most AI tools can generate outputs, but few can clearly establish who authorized an action, under what conditions it occurred, how decisions flowed, or how outcomes can be reconstructed later. CalyxOS addresses this gap by providing a governed operating system layer for AI deployment. It structures identity, authority, decision sequencing, execution boundaries, evidence generation, and human-in-the-loop control across real-world use cases. Rather than functioning as a single application or model, CalyxOS operates as a modular control plane that sits above models, tools, and workflows β enforcing clarity, accountability, and reversibility without constraining innovation. The result is an AI operating environment designed for long-term trust: one where actions are authorized before they occur, behavior is constrained at runtime, and outcomes can be explained, audited, or verified afterward. CalyxOS enables organizations to deploy AI responsibly at scale while preserving ownership, governance integrity, and real-world defensibility.





