Programu 5 Bora za Mikopo ya Ksh 5,000 Nchini Kenya
Borrower information

Programu 5 Bora za Mikopo ya Ksh 5,000 Nchini Kenya

Wakenya wengi hupata chini ya Ksh 50,000 kwa mwezi, huku wastani wa mapato ya kila mwezi ukiwa Ksh 20,123. Ili kuelewa hali hii vizuri, kuishi kwa starehe nchini Kenya siku hizi kunahitaji takriban Ksh 150,000 kwa mwezi. Hii inaonyesha kuwa idadi kubwa ya Wakenya huishi kwa bajeti finyu na huenda wakapata ugumu wa kukidhi mahitaji […]

Where to get loans in Cameroon without collateral
Borrower information

Where to get loans in Cameroon without collateral

Collateral-free loans are a financial means of survival for Cameroonians. This article breaks down where to find these lenders, how they work, and what you need to know to borrow smarter.

How we used AWS to build our identity and liveness system
Engineering

How we used AWS to build our identity and liveness system

Building reliable identity verification and liveness detection systems is one of the biggest challenges facing modern digital platforms, especially in fintech, lending, and online onboarding. These systems must balance speed, accuracy, scalability, fraud prevention, and user experience, all while handling large volumes of sensitive customer data securely. In this article, we explore how we used Amazon Web Services (AWS) to build our identity and liveness system, covering the infrastructure choices, architecture decisions, verification workflows, and AWS services that powered the solution. From facial recognition and document verification to scalability, security, and real-time processing, this piece breaks down the practical lessons, challenges, and technical considerations involved in developing a robust digital identity system.