Unmask Evolving Financial Crime: Temporal Intelligence for AML & Fraud Detection
Go beyond static transaction monitoring. Pometry’s Temporal Graph solution empowers you to detect sophisticated financial crime, AML, and fraud patterns by understanding how relationships and behaviours critically evolve over time.
Today's Criminals Exploit Static Defences & Data Silos
Financial criminals weave complex, ever-changing networks to hide illicit activities. Traditional systems struggle with these dynamic threats, leading to missed connections, delayed detection, high false positives, and an inability to adapt to new typologies
Illuminate Hidden Networks Across Time
Uncover evolving criminal networks by mapping how entities, accounts, and transactions connect, form, and disperse over any time period.
Detect Evolving Behavioural Patterns
Identify subtle shifts in transaction patterns and relationship dynamics that signal emergent risks, sophisticated evasion tactics, or new fraud typologies.
Handle Threats Early & Safely
With Pometry, proactively stay ahead of financial crime by equipping your teams with dynamic, time-aware insights. Detect evolving threats faster, improve investigation confidence, and protect your organisation from emerging illicit behaviours
Proactive Threat Detection & Richer Context
Move from reactive alert chasing to proactive threat detection. Provide investigators with complete historical context for faster, more accurate SARs.
AI-Powered Anomaly & Typology Discovery
Leverage NeuroSymbolic AI to understand novel illicit patterns and identify subtle anomalies in temporal behaviour indicative of new threats.
Holistic Network Analysis Over Time
See beyond individual transactions to analyse entire evolving interaction networks, revealing sophisticated structuring, layering, and integration schemes.
Dynamic Risk Scoring
Implement risk scoring that adapts in real-time as new data arrives and behaviours change, identifying escalating risks far earlier than static assessments.
Unmasking Collusion & UBOs
Reconstruct evolving ownership chains and interaction networks to identify common pivots, shared control, and suspiciously timed changes indicative of collusion or obfuscated UBOs.
Reduced False Positives & Efficient Investigations
Dramatically improve alert triage efficiency by providing deep temporal context that distinguishes real threats from benign activity. Investigators get a unified, evolving view of risk.
Advanced Behavioural Sequencing
Detect sophisticated fraud and money laundering typologies by analysing sequences of actions and transactions over time.
High-Performance Investigation at Scale
Rapidly ingest and query massive volumes of transactional data, exploring complex multi-hop relationships and historical behaviours in seconds.
Read our articles
Graphs vs. Relational model
Prisoners Dilemma and advanced Graph analytics
Are temporal graphs relevant to you?
Raphtory 0.4.0 Release
How we scaled to 4.6 million updates a minute on just a laptop
Alan Turing Institute: The dizzying potential of dynamic graphs
Ready to Revolutionise Your Financial Crime Defences?
Equip your AML, fraud, and financial crime teams with the deep temporal intelligence needed to effectively detect, prevent, and investigate illicit activity in an ever-evolving landscape