See the Network Behind the Transactions
Centrality measures, community detection, path tracing, and risk propagation — built into the same engine that monitors your transactions. No graph database. No separate product. No additional licensing.
See Network Analysis Live →The Graph Database Problem
Most AML platforms require a separate graph database for network analysis — adding cost, complexity, and months of integration. EyesClear takes a different approach.
Separate Graph Database
EyesClear Built-In
What Network Analysis Catches
These typologies are invisible to rule-based transaction monitoring. Network analysis detects them by revealing the structure behind the transactions.
Layering Schemes
Funds split across 15+ accounts, no single transaction exceeds thresholds, but path analysis reveals the complete origin-to-destination flow through every intermediary.
Path Analysis Flow VisualizationMoney Mule Networks
30 accounts processing small amounts, individually invisible. Community detection identifies the cluster — shared counterparties, synchronized timing, coordinated patterns.
Community Detection Temporal AnalysisSanctions Evasion
A sanctioned entity transacts through 4 layers of intermediaries. Direct screening finds nothing. Network path tracing reveals the connection in seconds.
Path Tracing Risk PropagationHub-and-Spoke Laundering
A central account collects from dozens of sources, distributes to dozens of recipients. Centrality measures surface it automatically, even with a legitimate cover story.
Centrality Measures Degree AnalysisFraud Rings
Coordinated accounts that open in clusters, transact with each other, and exhibit mirrored behavior. Community detection and temporal analysis expose the ring structure.
Clustering Anomaly DetectionTrade-Based Laundering
Over/under-invoicing between related entities across jurisdictions. Network analysis reveals the relationship structure and abnormal value flows between them.
Cross-Border Analysis Value FlowThe Analytics Engine
Four classes of network analytics running natively on PostgreSQL. No graph database. Full analytical depth.
Centrality Measures
Identify structurally important accounts in the transaction network.
- Degree centrality — most connected accounts
- Betweenness centrality — accounts bridging clusters
- Closeness centrality — short paths to all others
- PageRank — importance by transaction flow
Community Detection
Surface tightly connected groups that transact primarily with each other.
- Modularity optimization algorithms
- Hierarchical clustering — multi-level structure
- Temporal communities — formation and evolution
- Cross-community flows — boundary transactions
Path Analysis
Trace complete fund flows between any two entities across any number of hops.
- Multi-hop transaction chain tracing
- Circular flow detection (round-tripping)
- Shortest path identification
- Intermediary layer counting
Risk Propagation
Calculate how risk spreads through the network based on structure and flow.
- Network-position-based risk scoring
- Counterparty risk propagation models
- Isolation metrics — accounts avoiding detection
- Velocity analysis — speed of money movement
Investigation-Ready Visualization
Not just analytics — a visual investigation environment where compliance officers explore networks interactively and document findings in real time.
Interactive Exploration
Click any entity to expand its network. Zoom, pan, and filter in real time.
Time Animation
Watch networks form and evolve over days, weeks, or months.
Proportional Nodes
Node size by volume. Edge thickness by amount. Patterns visible instantly.
Anomaly Highlighting
Unusual patterns and high-centrality nodes are visually emphasized.
Dynamic Filtering
Filter by time range, amount, entity type, or risk score on the fly.
Case Integration
Export network findings directly into case management for documentation.
The Cost of Network Analysis
| Graph DB Approach | EyesClear Built-In | |
|---|---|---|
| Graph database license | $100K–$300K/year | $0 — not needed |
| Integration project | $75K–$200K | $0 — already built in |
| Ongoing sync maintenance | $30K–$80K/year | $0 — same data layer |
| Specialized staff | $120K–$180K/year (graph DBA) | $0 — standard PostgreSQL |
| Time to first investigation | 6–12 months after AML go-live | Day 1 |
| 3-year total cost of network analysis | $600K–$1.2M+ | Included |
4
Centrality measures
Real-Time
Network construction
$0
Additional licensing
Day 1
Available from go-live
0
Graph databases required
See the Networks Your Current System Misses
Live demo on real transaction data. Centrality, communities, paths, and risk propagation — all without a graph database.