Ugandan startup SANDI AI Technologies has won the US$50,000 female-led Grand Prize at the 2026 GoGettaz Agripreneur Prize, giving the company capital and continental visibility as agricultural finance remains one of Africa’s hardest development problems.
Founded by Nabakka Sandra, SANDI AI received the award at the Africa Food Systems Forum in Kigali. The company uses artificial intelligence and agricultural data to help rural farmers access finance without depending entirely on conventional collateral. The prize forms part of a US$160,000 GoGettaz programme run by Generation Africa, an AGRA initiative supporting young African agrifood businesses.
The Financing Gap Behind the Opportunity
The problem is large. The African Development Bank says only about 6 percent of African smallholder farmers have access to credit, while agricultural lending often accounts for less than 5 percent of bank loan portfolios. The bank has also identified a financing gap of about US$75bn a year for farmers and agricultural enterprises.
Uganda faces similar constraints. The World Bank identifies weak collateral, dispersed rural customers, small transactions, high operating costs, weather risk and limited rural banking infrastructure as barriers to agricultural lending. These conditions make conventional underwriting expensive before lenders even account for harvest and commodity-price uncertainty.
That makes alternative data commercially relevant. A farmer may have little formal credit history but still have production records, land-use information, crop cycles, savings behaviour, buyer relationships and mobile-money activity. A well-designed AI system can process such signals and potentially create a fuller borrower profile.
SANDI AI’s Technology Proposition
SANDI AI is positioning artificial intelligence as an assessment and financial-access tool. Its model seeks to understand farmers through agricultural information rather than relying only on fixed assets, employment records or conventional collateral.
Sandra has described the rationale directly: “Farmers should not be limited by systems that were not designed around their realities.” She added that technology can “understand farmers better, recognise their potential, and create pathways” to resources.
The company has also developed farmer savings groups that pool contributions to finance solar irrigation, alongside precision-irrigation tools using sensors and AI to guide water application. This creates a potentially useful connection between productive assets, agricultural data and finance.
The business case, however, depends on execution. AI does not remove drought, pests, disease, price volatility or repayment risk. SANDI AI needs reliable data, lending partnerships and evidence that its models can predict repayment without excluding farmers with limited digital footprints.
Why the GoGettaz win Matters for Uganda’s Tech Sector
The US$50,000 award is modest compared with Africa’s agricultural capital needs, but it can be useful at an early stage. The money can fund product development, field deployment, data collection and market expansion. Investor and policy visibility may also help a Ugandan startup build partnerships beyond its home market.
Uganda needs more technology companies that can build products for domestic problems and sell them across African markets. SANDI AI offers one example. Its opportunity sits between agritech, fintech, climate technology and artificial intelligence, sectors that increasingly need practical solutions designed for African conditions.
The Wider African Opportunity
The case for scaling beyond Uganda is strong because the underlying problem is regional. The African Development Bank says agriculture provides livelihoods for a large share of the continent’s population, while financial institutions continue to allocate a small proportion of lending to the sector.
Institutions are also searching for ways to de-risk agricultural finance. In 2025, the AfDB announced a proposed US$500m facility intended to mobilise up to US$10bn for smallholder farmers and agricultural enterprises. Another AfDB-backed programme received US$14m from GAFSP to help unlock as much as US$200m in private financing across Ethiopia, Uganda, Tanzania, Malawi and Zambia.
The opportunity is larger than the prize itself. If SANDI AI can establish a credible credit record for farmers, its data could eventually support lending, insurance and asset finance. That would give financial institutions a practical route into customers they have historically considered too costly or risky to serve across African rural markets and agricultural value chains.
SANDI AI fits this wider market movement. Its potential value is not that artificial intelligence will replace banks. Better information could make rural borrowers more visible to banks, insurers, asset financiers and investors.
What Investors will Watch Next
The prize creates an opportunity, but the next stage requires evidence. Investors will want to know how many farmers use SANDI AI, how much financing it has facilitated, which financial institutions participate, how repayment performs and how the model behaves during poor harvests.
Those metrics will determine whether SANDI AI becomes scalable financial infrastructure or remains a promising agritech venture. The strongest outcome would be a platform that turns agricultural data into credible credit decisions while keeping financing affordable for farmers.
For Uganda, the achievement is useful. It shows that local founders can build technology around African constraints and win continental recognition. For the wider market, SANDI AI presents a sharper proposition: artificial intelligence can create value in agriculture when it solves a measurable financial problem.
Sandra’s ambition is clear: “Our ambition is to make access to finance smarter, fairer and more inclusive.” The $50,000 prize gives SANDI AI resources to pursue that ambition. The harder task now is proving that better farmer data can produce better lending outcomes at scale.
