Cape Town-based Lulalend, which uses a proprietary credit scoring algorithm to offer short-term loans to SMBs, raised a $35M Series B and launches neobank Lula
In most African countries, access to credit remains limited for many small businesses, with the reasons ranging from the inability …
Context & Ripple Effects
Lulalend's $35M Series B lands in a crowded but well-funded lane: algorithmic SMB lending for emerging markets has pulled in successive rounds from Branch's $70M mobile-lending raise through Tribal Credit's $34.3M round for AI-driven credit lines and Tala's $145M Series E at an $800M+ valuation. The Cape Town lender's edge is a proprietary credit scoring model aimed at small businesses that traditional African banks won't underwrite.
First-order effects
- The new capital funds the launch of neobank Lula, taking Lulalend beyond short-term loans into a fuller banking product for the same SMB customer base.
- South African small businesses gain a single provider combining credit scoring with day-to-day banking, reducing reliance on incumbent bank relationships.
Second-order effects
- Rivals like Jumo — which raised $120M led by Fidelity on a partnerships-with-telcos model — now compete against a player bundling lending and banking accounts, pressuring single-product lenders to broaden their stacks.
- Finclusion Group's AI-credit pre-Series A shows the same playbook being funded across Africa; as more entrants arrive, pricing on SMB loans should tighten and customer acquisition costs rise.
Third-order effects
- If the pattern holds, Africa's SMB finance market consolidates around lending-first neobanks whose proprietary scoring models become the moat — shifting the competitive question from who has capital to lend to who can underwrite thin-file businesses most accurately.
The trend: Emerging-market SMB finance is moving from standalone micro-lenders toward full-service neobanks built on proprietary credit scoring.