Supply Chain Graph Modelling
Every SME is a node. Every supplier relationship is an edge. We map the full dependency network across 60,000 businesses.
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A new category of credit intelligence — built on graph neural networks and supply chain topology.
Every SME is a node. Every supplier relationship is an edge. We map the full dependency network across 60,000 businesses.
GNN propagation models identify which businesses are at risk not from their own finances — but from their connected counterparts.
Approved, conditional, and declined recommendations with full audit trail, sector context, and export-ready output.
About SupplyRisk AI
SupplyRisk AI is an advanced credit risk platform that models SME financial health as a network propagation problem. Traditional credit scoring looks at businesses in isolation — we look at the entire supply chain they depend on.
Using Graph Neural Networks, our platform maps 60,000+ SME relationships as nodes and edges, then forecasts which businesses are at risk not from their own financials, but from the predicted failure of their connected counterparts.
The result: analysts see cascade failures before they happen — giving credit teams the 90-day early warning window that traditional models miss entirely.
Learn how it works ↓Platform Modules
Four core modules that take you from raw SME data to a confident loan decision.
Maps every SME as a node and every supplier relationship as an edge. Visualise the full dependency network across sectors and geographies.
GNN propagation engine scores risk along supplier edges. Flags businesses endangered by their network — not just their own financials.
Real-time sector contagion signals. Get notified when upstream supplier distress is detected before it reaches your borrower's repayment capacity.
Approve, conditional, or decline — with full audit trail, risk score breakdown, and export-ready output for compliance and credit committee review.
See the cascade before it reaches your borrower.
SupplyRisk AI is a graph-intelligence platform for SME credit risk. We help credit analysts identify supply chain contagion risk before it translates into loan defaults — giving teams the early warning window that traditional models miss.
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