System AI Knowledge Graph

System AI Knowledge Graph is a nonprofit, AI-driven platform that aims to build the first globally interconnected system model by integrating and linking vast cross-domain knowledge, helping to understand and address complex global challenges.

Core features include extracting and integrating knowledge from scientific literature, performing causal inference and modeling analyses, and providing an interpretable, dynamically updatable systems view. It supports queries via API or natural language.

Mainly suited for researchers, policymakers, non-profit organizations, and developers who require systematized, quantitative models to study complex problems or to support decision-making.

Data sources include validated sources such as scientific literature and expert databases; it is dynamically updated, and to date has integrated over 4.65 million research findings, 37,000 concepts, and 1.4 million relationships.

As a nonprofit-oriented platform, it aims to promote knowledge sharing to address global challenges; for access options and terms, please refer to the official information.

The platform provides complete knowledge provenance; core variable nodes are interoperable with standard ontologies, and it links and standardizes data with a patented composite AI system to ensure interpretability and transparency.