Four vertical layers close the loop from data acquisition to value delivery; three horizontal support systems span all layers for security, stability, and continuous evolution.
Differentiated interfaces for associations, enterprise, academia, and the public — the final carrier of value output.
Simulation models, AI algorithms, and projection engines — the system's brain.
Fuses multi-source heterogeneous data into a unified, clean, connected domain-wide view.
The system's digital interface to the external world — 24/7 domain-wide data ingestion.
Design principles: Virtual-Real Symbiosis · Focused Scope · Human Sovereignty — all technical and engineering decisions must comply unconditionally (V3.0 §0.3)
Phase 1 brand site and Phase 2 simulation engine delivered in stages (SRS §2.6.1)
Holomutu follows transparency, fairness, accountability, privacy, and public welfare (V3.0 §6.2)
Disclose core model assumptions, data sources, algorithm logic, and system limitations — no black-box operations.
Routine algorithm bias audits to prevent discriminatory deviations across geography, industry, or scale.
The system is explicitly a decision-support tool; final decision authority always rests with human actors.
Strict data minimization with differential privacy and federated learning to protect individual privacy.
Core system value prioritizes societal public interest — avoiding capital monopolization and technology misuse.