FraudTracer leverages the BusinessGraph to make fraud networks transparently visible. Suspicious relationship patterns, risk connections, and complex corporate interconnections can thus be analyzed in a fully traceable manner. Fraud, risk, and investigative processes can be supported seamlessly with FraudTracer.
Do you also spend considerable time researching individual fraud cases without knowing which ones are actually connected? Fraud patterns rarely emerge in isolation – fraud-relevant signals are frequently scattered across diverse data sources, case files, and points in time. Without systematic linking, these interrelationships remain hidden. At the same time, case volumes, verification efforts, and requirements for documentation and traceability continue to rise.
Relevant evidence is dispersed across different data sources, cases, and historical events. Without a common context, patterns remain difficult to identify.
Anomalies frequently emerge through roles, corporate shareholdings, and established connections. Isolated reviews capture these interdependencies only to a limited extent.
Decisions must be substantiated, auditable, and fully documentable. In complex cases, isolated matches are rarely sufficient.
FraudTracer connects relevant information within the Palturai BusinessGraph. This brings to light structures, relationship paths, and anomalies that remain hidden in isolated datasets.
Organizations, individuals, and roles are integrated into a consistent relationship model.
Patterns of control, ownership, and connection become transparent and traceable within the context of the entire network.
Relationship paths, data sources, and analysis results remain transparent – ensuring sound evaluation, documentation, and further case processing.
FraudTracer combines European data with deterministic graph technology to ensure controllable and traceable analysis processes.
Internal and external information are linked within the Palturai BusinessGraph into a consistent relationship network.
Graph algorithms identify connections, patterns, and anomalies, assisting in prioritization.
Traceable results support investigation, expert evaluation, and further case handling.
Linked data sources and graph analyses significantly reduce manual investigation effort.
Conspicuous patterns are detected earlier and can be assessed with greater precision.
Reduced research effort frees up time for expert evaluation, hypothesis formulation, and complex individual cases.
FraudTracer supports organizations analyzing complex relationships, risks, and anomalies in networks. The application easily adapts to different industries and review processes.
Analyze money laundering, loan fraud, ultimate beneficial owners, and corporate interconnections in context.
Detect suspicious relationships between parties, service providers, and claims to enhance claims and underwriting processes.
Structure complex cases, reduce investigative effort, and clearly map connections between actors and events.
Screen receivables sellers and debtors for economic entanglements and risk indicators.
Transparently vet target companies and involved parties for risks prior to the transaction.
Developed and hosted in Germany. Tailored to the requirements of European markets with a dedicated focus on data protection and transparency.
Traceable relationships, paths, and data sources ensure that AI-driven analyses remain verifiable, auditable, and controllable.
Whether as a turnkey application, an API, or a bespoke enterprise solution, Palturai integrates seamlessly into existing systems, workflows, and review processes.
FraudTracer is deployed across diverse contexts. Download the white paper tailored to your field of expertise.
Detect fraud patterns within corporate networks, assess risks, and resolve claims more rapidly.
Analyze complex corporate structures, uncover hidden relationships, and provide targeted support for investigations.
