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Reports and Guides

Stay well-informed

Discover our data-driven reports, guides, and checklists on identity verification in Africa, and stay up-to-date with the latest developments in the KYC landscape.

The State of eKYC in Nigeria 2024

This report offers a comprehensive overview of the recent eKYC and digital ID verification trends in Nigeria.

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The Rwanda KYC Guide

Everything you need to know about compliantly verifying users in Rwanda.

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The South Africa KYC Guide

Everything you need to know about compliantly verifying users in South Africa.

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The Kenya KYC Guide

Everything you need to know about KYC/AML user verification and onboarding in Kenya.

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The Nigeria KYC Guide

Everything you need to know about KYC/AML user verification and onboarding in Nigeria.

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2024 Digital Identity Fraud in Africa Report

Trends, tactics, and the solutions needed to tackle fraud effectively. It is a must-read for everyone doing business online in Africa.

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The State of KYC in Africa Mid-year Report 2023

A must-read for any business looking to acquire users across Africa and keep up with fraud trends.

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The ultimate KYC checklist

Smile ID’s 7-Step Guide To Choosing a KYC Provider for a Pan-African Business

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The Zambia KYC Guide

Everything you need to know about compliantly verifying users in Zambia.

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The Tanzania KYC Guide

Everything you need to know about compliantly verifying users in Tanzania.

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The Cote d'Ivoire KYC Guide

Everything you need to know about compliantly verifying users in Cote d'ivoire.

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Download the Mid-year Report: H1 2022

This report is a must-read for any business looking to strengthen its user acquisition and fraud prevention efforts.

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The State of KYC in Africa 2022

Everything you need to know about the African KYC landscape and the impact of emerging fraud trends on African businesses.

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Face Verification Accuracy Whitepaper

We present the SmileID face recognition system, a commercial system for frontal-face identity verification on mobile handsets in Africa. Our work is a case study in building and deploying a real-world face recognition system that must work primarily on non-caucasian faces.

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