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Guard EveryShilling.

Africa's First & Only FraudOps Platform

A revolutionary startup tackling the $50B+ fraud epidemic plaguing African businesses with cutting-edge AI and forensic technology — ready to deploy and protect your business today.

Innovation in African fraud detection
🛡️Fraud Detection Reimagined

Stop Fraud Before It Costs You Money

Traditional fraud detection finds problems after they've already cost you money. Mlinzi detects fraud as it happens—giving you the power to prevent losses, not just discover them.

Every insight is explainable, auditable, and actionable.

End-to-End Visibility
Unified view across all your systems. No blind spots.
Automation + Expertise
AI-powered detection with human expertise. Find fraud faster.
Explainable by Design
Every alert explained. Complete transparency, zero black boxes.
Mlinzi Fraud Detection Dashboard

Real-time Alerts

3 active threats detected

Trusted by Industry Leaders

Proven Results Across Africa

Real organizations, real results. See how Mlinzi is transforming fraud detection across banking, insurance, manufacturing, and government sectors with measurable impact.

Kenya • Uganda • Tanzania
Banking • Insurance • Manufacturing
Government • NGOs • Corporates
Cumulative Impact

Measurable Results

Across all client implementations and deployments

KES7.3M+
Fraud Detected
Across all clients
75%
Faster Detection
vs traditional methods
98%
Accuracy Rate
False positive reduction
50+
Organizations
Active deployments
"Finally — fraud detection that doesn't need a PhD. We reduced false positives by 80% and caught vendor collusion we'd never have spotted manually. Mlinzi paid for itself in the first month."
Sarah K., Audit Manager
Leading Kenyan Bank
Audit Manager
Banking

Ready to Transform Your Fraud Detection Capabilities?

Join industry leaders who are already seeing measurable results with Mlinzi's advanced fraud detection platform.

No setup fees
30-day trial
Expert support

Real Results

Success Stories from the Field

See how organizations across different industries have transformed their fraud detection capabilities with Mlinzi.

Banking: Vendor Collusion Detection

A major Kenyan bank was losing millions to vendor collusion schemes that traditional audits missed. The bank had over 2,000 active vendors and was processing KES50M+ in monthly payments, but lacked visibility into vendor relationships and payment patterns.

Banking
Large
6 months

Insurance: Claims Fraud Prevention

An insurance company was experiencing high claims leakage and needed better fraud detection capabilities. They were processing 5,000+ claims monthly with a 15% fraud rate, costing them KES12M annually in fraudulent payouts.

Insurance
Medium
4 months

Manufacturing: Procurement Fraud

Manufacturing company suspected internal procurement fraud but lacked visibility into vendor relationships. With 500+ suppliers and KES25M annual procurement spend, they needed to identify suspicious patterns and prevent collusion between employees and vendors.

Manufacturing
Large
8 months

Banking: Vendor Collusion Detection

Banking
Large

The Challenge

A major Kenyan bank was losing millions to vendor collusion schemes that traditional audits missed. The bank had over 2,000 active vendors and was processing KES50M+ in monthly payments, but lacked visibility into vendor relationships and payment patterns.

Our Solution

Deployed Mlinzi DataLake to connect procurement, vendor, and payment data across 12 different systems. Implemented real-time collusion pattern detection using advanced graph analytics and machine learning algorithms.

Results Achieved

Detected KES2.3M in fraudulent transactions within 30 days
Reduced investigation time by 75% (from 2 weeks to 3 days)
Prevented KES8.7M in potential losses over 6 months
Identified 15 colluding vendor networks
Improved vendor risk scoring accuracy by 92%
Impact Summary
75%
Time Saved
KES2.3M
Fraud Detected
98%
Accuracy

Proven Results

Real Results, Real Impact

These case studies represent just a sample of the measurable impact Mlinzi has delivered across diverse industries and use cases.

50+
Organizations
KES7.3M+
Fraud Detected
98%
Accuracy Rate

The Complete FraudOps Platform

Built for investigators, not just auditors. Everything you need to detect, investigate, and prevent fraud—from data integration to 24/7 monitoring.

Mlinzi Fraud Studio

Visual investigation studio built on SQL & DataFrames. Drag, connect, and analyze complex fraud patterns without writing code—designed for investigators, not just analysts.

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Mlinzi DataLake™

Unified data layer that connects HR, ERP, and financial systems. Transform disconnected spreadsheets into clean, normalized, analytics-ready insights in minutes.

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Mlinzi SOC

Managed FraudOps Security Operations Center. Expert monitoring of transactions, controls, and exceptions 24/7—detect threats while you sleep.

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Trusted Across Industries

Discover how organizations across different sectors leverage Mlinzi's fraud detection capabilities to protect their operations.

Banking & Fintech

Financial institutions and fintech companies protecting against payment fraud, insider trading, and compliance violations.

Key Use Cases:

Payment anomaly detection
Insider trading patterns
AML compliance monitoring

Telecom & Utilities

Telecommunications and utilities companies monitoring subscription fraud, billing anomalies, and infrastructure misuse.

Key Use Cases:

Paybill reconciliation
Subscription fraud detection
Billing anomaly analysis

NGOs & Donor-Funded Projects

Non-profits and development organizations ensuring donor funds reach intended beneficiaries through transparent monitoring.

Key Use Cases:

Grant fund tracking
Beneficiary verification
Expense compliance monitoring

Government & SOEs

Government agencies and state-owned enterprises maintaining public trust through transparent financial management.

Key Use Cases:

Split POs in procurement
Collusion in vendor management
Payroll ghost worker detection

Corporate & Retail Enterprises

Large corporations and retail businesses protecting against internal fraud, supply chain risks, and financial misreporting.

Key Use Cases:

Vendor collusion detection
Expense reimbursement fraud
Inventory shrinkage tracking