Our proprietary graph engine processes billions of financial relationships simultaneously, finding patterns invisible to conventional analytics. Real-time traversal across your entire financial network — at sub-millisecond speeds.
Model complex financial relationships as dynamic knowledge graphs. Detect fraud rings, map counterparty exposure, and trace capital flows across billions of connected entities.
Stream processing pipelines ingest market data, on-chain transactions, and behavioral signals simultaneously. Every insight computed live — zero latency between event and decision.
Large-scale graph neural networks trained on financial topologies surface anomalies, predict risk cascades, and generate natural language summaries of complex network behavior.
Connect APIs, databases, message queues, and blockchain nodes — with native connectors and zero-ETL ingestion pipelines.
Automatically construct property graphs representing entities, relationships, and temporal dynamics at any scale.
Run graph algorithms and GNN inference across the full network in real time — fraud rings, risk paths, anomaly clusters.
Surface insights through dashboards, real-time alerts, and APIs your teams and automated systems already use.
Traditional analytics tools were designed for tables, not networks. GraphIQ was built from the ground up for financial data's true nature — a web of interconnected entities, events, and relationships.
From systemic risk surveillance to anti-money laundering, our platform gives compliance teams, quants, and data scientists a shared language for understanding the financial system as it actually is.
Join 340+ financial institutions using GraphIQ to detect fraud, manage risk, and accelerate decisions.