What is Pngme and how does it work?

Pngme is a data infrastructure platform that helps financial institutions and enterprises aggregate financial data from multiple sources, transform it into machine learning-ready features, and generate actionable insights for credit scoring, risk assessment, and customer segmentation. It works by enabling universal data ingestion from hundreds of institutions, automated feature building to capture financial behavior, and an AI-powered insights generator, all focused on emerging markets.

What countries does Pngme operate in?

Pngme operates in Nigeria, Kenya, Ghana, India, Uganda, Zambia, and Sri Lanka.

Who is Pngme best suited for?

Pngme is best suited for financial institutions like banks, fintechs, and credit bureaus that serve unbanked or underbanked customers in emerging markets.

How do I contact Pngme support?

You can contact Pngme via email at hello@pngme.com.

Does Pngme have a plan for teams or businesses?

Yes, Pngme offers enterprise plans for financial institutions, banks, and fintechs.

Does Pngme offer an API or integrations?

Yes, Pngme offers a public API. View the official Pngme API documentation for endpoints, authentication, and integration guides.

Pngme

🇰🇪 Kenya 🇬🇭 Ghana 🇳🇬 Nigeria+2 more

A data infrastructure platform for African financial institutions that ingests real-time financial data, builds ML-ready features, and generates insights for credit and risk.

Use it on:Web API

Is Pngme right for you?

Best for

Banks and lenders
Credit teams
Risk teams
Data science teams
Fintech platforms

What it does well

Real-time data ingestion
ML-ready feature building
Credit risk insights
Credit scoring models
Predictive analytics

Things to check

Supported data sources
Model explainability
Latency and uptime
Data residency needs
Deployment setup

Pngme is a data infrastructure platform for financial institutions and enterprises that need machine learning-ready financial data and analytics in emerging markets.

Key capabilities include:

Universal data ingestion to connect and aggregate financial data from hundreds of institutions across multiple countries
Automated feature building that transforms raw data into machine learning-ready features designed to capture financial behavior
Insights generation using AI for credit scoring, risk assessment, and customer segmentation to support more personalized financial services
Enterprise security and privacy controls, including SOC 2 Type 1 compliance, alignment with GDPR, KDPA, NDPA, and GDPA, plus 24/7 security monitoring

Available on the Web, including an admin dashboard and API documentation for developers.

It targets banks, lenders, fintechs, and large enterprises building data-driven credit and risk workflows, as well as developers integrating financial data and features into internal models.

It is notable for its focus on emerging-market coverage, with stated operations across Nigeria, Kenya, Ghana, Uganda, and Zambia (as well as India and Sri Lanka), making it relevant for teams working across multiple African markets and institutions.

Phone:+1 203-592-0903

Social Links:

Categories:

AI & Analytics Fintech

Features & Business Model:

ai-powered b2b credit-scoring enterprise predictive-analytics saas

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DD Dave found that Pngme has raised $18.1M across 6 rounds, backed by 16 investors. Their latest round was a Other in Nov 2021. See how we get product data