This is not a typical fintech bet. Sheba Credit is the foundational credit infrastructure for a 135-million-person economy — at the precise moment digital rails, regulatory reform, and market demand converge.
Ethiopia has under 2% credit bureau coverage — the lowest of any major African economy. Kenya had similar coverage 15 years ago, then M-Pesa and bureau integration drove explosive credit expansion. Ethiopia is at that same inflection point today, with Telebirr's 51M users providing the same data foundation.
Sheba Credit is the first mover building Ethiopia's private bureau — with AI and open banking baked in from day one. The window to set the technical standard is now.
Sheba Credit doesn't import a Western scoring model and hope it works in Africa. We build AI trained entirely on Ethiopian alternative data — mobile money flows, savings behaviour, agricultural output, and utility payments — making it uniquely accurate for the 98% of the population that traditional models cannot score at all.
Loan tier: ETB 15,000–50,000
Risk level: Low · Model confidence: 94.2%
Updated in real-time · Explainable by law
Our engine combines XGBoost gradient boosting with a deep neural network. The ensemble consistently outperforms either model alone — especially for thin-file customers with limited history.
15M+ Ethiopian smallholder farmers have zero credit history. Our PyTorch GNN maps relationships between farmers, cooperatives, crop types, and ECX market prices to generate agricultural credit scores no traditional bureau can produce.
Every score is fully explainable. Regulators, lenders, and consumers can see exactly which factors drove the decision — a legal requirement under Ethiopia's emerging data protection framework and a key differentiator with institutional clients.
Every loan issued using a Sheba score feeds repayment outcomes back into the model. The AI compounds in accuracy over time — creating a data moat no new entrant can quickly replicate.
The CRaaS API returns a full explainable credit report in under 200ms — enabling instant decisions at point of application, mobile loan screen, or bank branch counter.
Conservative model: $2/check B2B pricing · 15 institutions Year 1 · scaling to 300+ partners and 7.5M annual checks by Year 5.
| Year | Revenue | OPEX | Profit/Loss | Cumulative |
|---|---|---|---|---|
| Y1 2026 | $210K | $277K | −$67K | −$67K |
| Y2 2027 | $500K | $320K | +$180K | +$113K |
| Y3 2028 | $1.0M | $400K | +$600K | +$713K |
| Y4 2029 | $2.0M | $600K | +$1.4M | +$2.1M |
| Y5 2030 | $4.0M | $900K | +$3.1M | +$5.2M |
No private credit bureau exists in Ethiopia. Sheba sets the technical standards, trust norms, and regulatory precedent. Licensing requirements and compliance costs create a durable barrier once we're established.
By scoring farmers, women, and youth first through Telebirr, cooperative, and utility data, Sheba builds datasets competitors can't quickly replicate. Every new credit file strengthens the model — a self-reinforcing compounding advantage.
Unlike imported scoring systems, Sheba's ML models are trained on local alternative data from day one — uniquely accurate for Ethiopia's informal economy. SHAP/LIME explainability satisfies regulators and builds institutional trust.
Ethiopia's Vision 2030, Fayda digital ID (17M enrolled), the Ethiopian Securities Exchange, and foreign bank entry all massively raise demand for bureau-grade data. Sheba is the infrastructure layer national policy requires.
The $500K seed round is open. Request the full investor pack — detailed financials, cap table, technical architecture, and regulatory roadmap.
Headquartered in Addis Ababa, Ethiopia · Seed Round: $500K Open