Maask
Infrastructure
Behavioral Intelligence Layer for Mobile Money Transaction Flows
Maask transforms fragmented mobile money transaction activity into behavioral risk signals, scoring insights, and decision-ready reports for fintechs and financial institutions operating in emerging markets.
The Problem
Mobile money generates massive transaction volume, yet most institutions still struggle to interpret behavioral signals such as stability, predictability, fragmentation, and real cashflow consistency.
This limits credit decisioning, risk monitoring, and financial inclusion efforts.
How It Works
From raw mobile money activity to decision-ready intelligence — Maask processes transaction data through six distinct stages.
Raw Transactions
Mobile money transaction logs are ingested — transfers, deposits, withdrawals, payments, and airtime top-ups.
01Data Structuring
Transactions are cleaned, normalized, and enriched with temporal and categorical metadata for analysis.
02Behavioral Profiling
Patterns are extracted across stability, regularity, liquidity, fragmentation, and diversity dimensions.
03Dynamic Scoring
A composite behavioral score (0–100) is computed, along with a Shock Index and data completeness rating.
04Risk Signals
Anomalies, income drops, and behavioral red flags are surfaced with confidence indicators.
05PDF Report
An institution-ready report is generated with scoring breakdown, loan recommendation, and full audit trail.
06Raw Transactions
Mobile money transaction logs are ingested — transfers, deposits, withdrawals, payments, and airtime top-ups.
Data Structuring
Transactions are cleaned, normalized, and enriched with temporal and categorical metadata for analysis.
Behavioral Profiling
Patterns are extracted across stability, regularity, liquidity, fragmentation, and diversity dimensions.
Dynamic Scoring
A composite behavioral score (0–100) is computed, along with a Shock Index and data completeness rating.
Risk Signals
Anomalies, income drops, and behavioral red flags are surfaced with confidence indicators.
PDF Report
An institution-ready report is generated with scoring breakdown, loan recommendation, and full audit trail.
The entire pipeline runs automatically — from raw CSV or API ingestion to a downloadable, institution-ready PDF with behavioral scores, risk flags, and an indicative loan recommendation.
What Maask Provides
Behavioral Profiling
Stability, regularity, liquidity, fragmentation, diversity
Dynamic Scoring (0–100)
Based on transactional patterns
Shock Index
Unexpected expense / income drop detection
Data Completeness Score
Reliability of the dataset
Indicative Loan Recommendation
With institutional disclaimer
Institution-Ready PDF Reports
And audit trail
Use Cases
Micro-lending & Credit Underwriting
Transform behavioral data into credit-ready insights for micro-lending decisions.
Risk-Based Approach (RBA) Support
Provide data-driven risk signals to support regulatory compliance frameworks.
Fraud & Anomaly Detection
Identify unusual transaction patterns and behavioral anomalies in real time.
Financial Inclusion Profiling
Build behavioral profiles for underbanked populations to expand access to services.
Remittance & Wallet Flow Monitoring
Track and analyze behavioral patterns across remittance and mobile wallet ecosystems.
Early Feedback
Early feedback shows clarity and real operational value.
With a MAASK score of 68/100, my Mobile Money profile reflects reliable financial behavior, characterized by high regularity (100%) and strong transactional discipline. The diversity of my income sources (75%) confirms that I have a healthy financial ecosystem. I'm pleased with this result.
Sample Institutional Report
PDF — 2 pagesThis sample report demonstrates the full output of the Maask scoring pipeline. It includes an executive summary, a composite behavioral score with radar breakdown, financial shock index, data completeness assessment, indicative loan recommendation, and a detailed behavioral indicator table — all generated automatically from mobile money transaction data.
Simulated data for demonstration purposes only.
Pilot Program
Maask is onboarding a limited number of institutional partners to validate scoring consistency, report clarity, and real-world usability before broader market deployment.
Download Pilot Pack (PDF)FAQ
Common questions about data privacy, security practices, and how the Maask scoring methodology works.
About
Maask is built by Amidou Ouattara, with a background in telecom and data infrastructure, focused on building long-term financial data systems for Africa and emerging markets.