Ii provides an open‑source, self‑sovereign universal AI platform that emphasizes augmented intelligence over artificial general intelligence. The system is built around four interconnected frameworks—personhood, economics, law, and the state—to enable users to develop AI‑driven solutions that align with first‑principle concepts of society and governance. It targets developers and organizations seeking transparent, decentralized AI tools for societal and economic modeling.
Funding
Funding not disclosed
Founders
Product
Problem
Current AI tools are fragmented, proprietary, and lack mechanisms for individuals to control their data while exploring complex societal concepts such as personhood, economics, law, and governance. This fragmentation hampers coherent analysis and limits the ability to build unified frameworks for a better society.
Solution
Ii offers an open‑source, self‑sovereign augmented intelligence platform that unifies four interconnected modules—Personhood, Economics, Law, and State—into a single analytical environment. The platform enables users to query, model, and visualize these domains using a shared AI core, preserving data ownership and privacy. By providing a continuous, first‑principles argument structure, the system supports collaborative exploration of societal design without relying on external, closed‑source AI services. Interactive visualizations, such as a rotatable map of the “Last Economy,” guide users through the interconnected concepts, fostering deeper insight and informed decision‑making.
Target Audience
Primary users are scholars, policy analysts, civic technologists, and activist groups seeking an integrated, privacy‑preserving AI tool to examine and design societal structures.
Features
- Open‑source codebase allowing full auditability and community contributions
- Self‑sovereign architecture that keeps user data and models under individual control
- Unified AI engine that serves four thematic modules: Personhood, Economics, Law, and State
- Interactive, rotatable visual map linking the four modules for holistic exploration
- Prompt‑driven interface that supports custom queries and scenario modeling across domains
- Continuous argument framework that connects insights from each module into a coherent narrative