Latest thinking from our team
Perspectives on machine learning, data engineering, analytics, and impact across Africa.
Machine Learning in Francophone Africa: Breaking Language Barriers
How we built a Wolof sentiment analysis model for a Dakar-based fintech, increasing customer engagement by 34% and enabling millions of users to interact in their mother tongue. This project became a blueprint for low-resource language NLP across the continent.
Lead ML Engineer · 8 min read
AI for Mobile Money: Real‑time Fraud Detection on 2G Networks
Deploying lightweight ML models for a Senegalese operator reduced fraud by 62% while maintaining transaction speed.
Edge Data Pipelines for Rural Health Clinics
An offline‑first analytics system for 200+ clinics in Uganda enables real‑time supply chain visibility without internet.
Building a Data Culture in African Organizations
Lessons from training 500+ professionals across 6 countries on self‑service analytics and data literacy.
Causal ML for Development Impact Evaluation
How we helped an agritech NGO measure the true impact of farmer training programs using causal inference.
Sovereign AI: Keeping Data in Africa
Technical and policy considerations for on‑prem and hybrid deployments compliant with African Union guidelines.
Local Language NLP: Swahili, Wolof, and Beyond
Our open‑source corpora and models for African languages are now used by researchers across the continent.
Responsible AI in Fintech: Bias Audits for Credit Scoring
How we helped a Nairobi‑based lender identify and mitigate bias against rural applicants.
Data Engineering for Low‑Bandwidth Environments
Techniques for building resilient pipelines that sync data when connectivity allows.
Monthly insights from our team – no hype, just practical wisdom for African data leaders.