AI-Powered Fraud Detection

Advanced Fraud Analytics for Financial Institutions

Our AI-powered platform analyzes statements to detect suspicious transactions and provide detailed reports with 99.8% accuracy.

Financial Analysis Dashboard
Fraud detection complete
3 suspicious transactions found
Platform Features

Powerful Fraud Detection

Our comprehensive suite of tools helps financial institutions identify and prevent fraud.

Advanced Analytics

Leverage machine learning algorithms to detect patterns and anomalies in transaction data.

Secure Data Processing

Financial-grade security ensures your financial data is protected throughout the analysis process.

Multi-User Access

Collaborate with your team with role-based permissions and shared insights.

Real-time Alerts

Get instant notifications when suspicious activities are detected in your accounts.

Compliance Ready

Stay compliant with financial regulations with detailed audit trails and reports.

Fast Processing

Analyze thousands of transactions in seconds with our high-performance engine.

Reconciliation

Automatically match transactions across statements to ensure data consistency and accuracy.

Fee Commission Reports

Generate detailed reports on fees and commissions to improve financial transparency and tracking.

LLM Chatbot

Interact with a powerful AI assistant to get instant answers, generate insights, and streamline support.

Platform Statistics

Trusted by Financial Institutions

Our platform has processed millions of transactions and helped Organization's identify fraudulent activities.

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Total transactions scanned

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Total file uploads

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Suspicious transactions detected

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Total alerts sent

Simple Process

How It Works

Our platform uses advanced machine learning to analyze statements and detect suspicious activities.

1

Upload Data

Upload your statement data securely to our platform. We support CSV, Excel, and PDF formats from all major organizations.

Next Step
2

Processing Data

We standardize and clean the data for analysis, categorizing transactions and preparing them for our ML models.

Next Step
3

AML Analysis

Our machine learning models analyze transactions for suspicious patterns, comparing against known fraud indicators and historical data.

Next Step
4

Results & Alerts

Get detailed reports and alerts for suspicious transactions, with actionable insights and recommended next steps.

Custom LLM prompt for

Querying transaction information

Ask specific questions about transaction patterns and get AI-powered insights

Customer detail

Get comprehensive customer profiles with risk assessment and behavioral analysis

Listing fraudulent transactions

Identify and categorize suspicious activities with detailed explanations

Meet Our Team

The passionate individuals driving innovation and excellence at Discrepay.

Surajit Das

Surajit Das

CEO | CTO

Leina

Leina

Product Manager

Alvin

Alvin

Customer Success Manager

Nicky Chemos

Nicky Chemos

Data Engineer

Mordecai Mathenge

Mordecai Mathenge

Front-End Developer

Giovanni Bwayo

Giovanni Bwayo

Data Engineer

Elvis Ndegwa

Elvis Ndegwa

Full Stack Developer

Ready to Transform Your Fraud Detection?