GPU-native compliance engine processing millions of transactions in real time. Each building is an entity cluster. Each window is an account. Colors represent risk levels propagating through the entity graph.
The visualization maps a compliance monitoring network larger than Amsterdam. Each building represents an entity cluster (a bank branch, a corporate group, a correspondent chain). Each illuminated window represents an individual account. Window color reflects real-time risk classification: safe (blue/cyan), review (yellow), elevated (orange), high (red), critical (red pulse). Risk scores propagate through the entity graph via GPU-accelerated GNN inference. The drill-down panel shows individual account details including financial activity, risk flags, alert status, and neural lattice ML scoring.
This is the actual ZQUAS engine running on a single NVIDIA RTX 5090. Not a pre-rendered animation. Not a mockup. The transaction stream, risk evaluation, alert generation, and visualization all execute on GPU in real time.
Note: Transaction throughput varies during the recording as the engine processes different phases. The engine benchmark: 500K entities, 100 AML policies, under 2 seconds on NVIDIA RTX 5090. 150M+ CEPS (compliance policy evaluations per second) sustained. Alert lifecycle under 10ms ingestion to triage.