Africa's Financial
Behavior Data Layer
Privacy-screened consumer and MSME financial behavior panels from Kenya, Nigeria, and Uganda — structured for benchmarking, analytics, and early-stage model development.
Why Pngme Synthetic Data?
Replicates the statistical patterns of real-world financial behavior — without containing any identifiable information.
Hard-to-find market coverage
Structured financial behavior data from underrepresented markets where high-quality, analysis-ready datasets are still rare.
Designed for real analysis
Normalized event ledger, monthly summaries, entity profiles, and documentation — each product is structured to accelerate usage.
Built for product, research & ML
Benchmarking, cash-flow analysis, customer segmentation, and model prototyping — out of the box.
What you can do
Explore consumer cash-flow behavior
Inflows, outflows, transaction rhythms, account patterns, and category signals.
Analyze MSME financial patterns
Small-business cash-flow behavior, payment flows, operational intensity, and account usage.
Compare markets
Benchmark behavior across Kenya, Nigeria, and Uganda.
Prototype decisioning models
Credit risk, affordability, churn, or customer segmentation — test feature ideas fast.
Browse by segment
Choose the panel that fits your analysis needs.
Ready to explore?
Start building on context-specific financial data from select African markets.