The supply chain world model for capital markets and AI agents.
A causal graph of physical dependencies that finds chokepoints before markets price them.
Not another chatbot: the LLM writes the answer; the graph supplies the causality.
Same model. Different substrate.
Same question, same Claude Sonnet. One answers from training data. The other reasons over 4547 nodes and 19767 live edges.
How every relationship is backed
58% direct-sourced. Another 33% carry a documented reason (industry standard, anonymized filing, transitive, regulatory). Click any segment for what it means.
- Direct source URL 57.2%
- Industry knowledge 24.5%
- Internal model 6.3%
- Transitive 5.2%
- Pending 10%
- Uncategorized (legacy) 7.0%
- Other tagged 6.8%
Explore the Graph
Search any ticker, company, or material. See its supply chain position, upstream dependencies, and downstream exposure.