Ultipa FRAML

Real-time Fraud & AML Monitoring

Graph-powered financial crime detection that sees relationships traditional systems miss.

Fraudster!Account AAccount BAccount CAcc DAcc EAcc FAcc GCleanCleanDetectedSuspectClean

Catch Fraud Rings, Not Just Transactions.

Graph-Powered Financial Crime Detection

Traditional AML systems analyze transactions in isolation. FRAML sees the network — when one fraudster is caught, connected accounts are identified instantly.

Alert Latency

FRAML
<5 sec
Batch Processing
Hours

False Positive Rate

FRAML
<5%
industry-leading
Traditional AML
30-50%

Investigation Time

FRAML
60%+
reduction
Manual Process
Days

Unique Capabilities

See What Traditional AML Misses

Graph-native detection capabilities that identify fraud rings, not just suspicious transactions.

Fraud Ring Detection

Maps networks of connected suspicious accounts. When one fraudster is caught, instantly identify all connected accounts in the ring.

AI Pattern Recognition

Detects layering, structuring, circular flows, and velocity spikes automatically using graph-powered machine learning algorithms.

Modular Architecture

Pay only for modules you need: KYC, screening, transaction monitoring, or the full suite. Scale as your compliance needs grow.

Pre-Loan Fraud Detection

Specialized module for lending operations. Detect synthetic identities and application fraud before disbursement.

Platform Overview

See FRAML in Action

Real-time fraud ring visualization and network-aware detection

FRAML Platform Screenshot 1
FRAML Platform Screenshot 2

Enterprise Performance

Built for Scale

Processing capacity and response times designed for the largest financial institutions.

10K+

Transactions/Second

<100ms

Query Response

<5%

False Positive Rate

Minutes

SAR Generation

Ideal For

Who Benefits from FRAML?

Banks

Transaction monitoring and AML compliance

Fintechs

Scalable fraud prevention from day one

Payment Processors

Real-time transaction screening

Lending Platforms

Pre-loan fraud detection

Key Capabilities

Why Graph for Fraud Detection?

Real-time Processing

Sub-millisecond decisions on every transaction

Pattern Recognition

Detect ring structures and fraud networks

Network Analysis

Map complex interconnections instantly

Infinite Scalability

Handle millions of checks without slowdown

Download Solution Brief

Learn how graph-powered transaction monitoring can transform your fraud detection and AML compliance capabilities.

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