AI-Powered Automation
for Every Transaction

AI-Powered Automation
for Every Transaction

Uncover Hidden Intent

Reveal Transaction Purpose

Real-Time Risk Insights

Behavior-Based AML

Uncover Hidden Intent

Reveal Transaction Purpose

Real-Time Risk Insights

Behavior-Based AML

AAML

AAML

TM

Augmented Anti Money Laundering - AI-driven fraud and AML risk detection

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Redefining Compliance

Redefining AML Detection

Our software powers real-time, AI-driven decisions in critical government institutions, from revenue authorities to national regulators.

Transaction Intent

Understands why money moves, not just where it moves.

Behavioral Intelligence

Learns customer behaviour to detect emerging financial crime before rules ever trigger.

Network Detection

Maps hidden relationships across accounts, people, and businesses to expose laundering networks

SERVICES

The New Standard in AML

AI-driven fraud and AML risk detection, enabling governments to introduce new markets safely.

Cost Management

Payment reminder

Employee Tracking

Social media post

Every Alert Has Evidence

Explainable AI for every decision

Stop Crime Before It Happens

Instead of identifying laundering after it occurs, AI predicts which accounts and transaction chains are most likely to become high risk.

Research anything...

Research

Software & App Industry

UX & UI Design Industry

High Converting Customer

Investigate What Matters

Reduce workload by prioritizing genuine financial crime while filtering routine customer behaviour.

Code

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class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Risk That Evolves

User risk scores update as behaviour changes, eliminating reliance on outdated KYC snapshots and periodic reviews.

Cross-Channel Intelligence

Correlate payments, transactions and profiles into a single risk profile.

SERVICES

The New Standard in AML

AI-driven fraud and AML risk detection, enabling governments to introduce new markets safely.

Assets Transferred

New Alert

User Tracking

Transactions verified

Every Alert Has Evidence

Explainable AI for every decision

Stop Crime Before It Happens

Instead of identifying laundering after it occurs, AI predicts which accounts and transaction chains are most likely to become high risk.

Search Transactions...

Search

Flagged Behaviour

Flagged Users

Flagged Transactions

Investigate What Matters

Reduce workload by prioritizing genuine financial crime while filtering routine customer behaviour.

Code

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class FraudDetectionAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_transactions(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "FraudDetection agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Risk That Evolves

User risk scores update as behaviour changes, eliminating reliance on outdated KYC snapshots and periodic reviews.

Cross-Channel Intelligence

Correlate payments, transactions and profiles into a single risk profile.