NameONE Studios is an independent research lab advancing the science and practice of governance for multi-model, autonomous, and AI-augmented systems.
As intelligence becomes distributed across interacting models, agents, and control loops, the central risk is no longer raw capability. It is the loss of human authority, traceability, and control.
Modern AI systems do not fail only through errors. They fail through drift, silent convergence, and unobserved delegation—often long before any visible malfunction.
Our work examines how complex AI systems behave under real-world pressure: how they drift, how they fail, and how they converge toward unsafe consensus.
We study these dynamics across domains where consequences matter—financial systems, cyber-physical infrastructure, virtual economies, and multi-agent decision environments.
From this research, we design governance architectures that preserve safety, accountability, and human sovereignty as intelligence scales beyond any single model.
We focus on environments where multiple independent models collaborate, compete, and influence shared outcomes—introducing risks that single-model systems do not exhibit.
Our research emphasizes structural human authority: formal vetoes, auditable decisions, and enforced review at safety-critical boundaries.
We publish benchmarks, whitepapers, and methodologies that measure governance properties such as consensus drift, dissent effectiveness, and fatigue horizons.
Our work is research-led. Licensing may be made available for implementation through qualified partnerships as the research matures.