Agricultural Credit Scoring That Actually Works
YieldRank transforms farm data into credit intelligence, enabling lenders to confidently finance Africa's agricultural future with AI-powered risk assessment.
YieldRank transforms farm data into credit intelligence, enabling lenders to confidently finance Africa's agricultural future with AI-powered risk assessment.
Africa’s Agricultural Financing Gap: The Numbers Behind the Challenge
of African smallholder farmers lack access to formal credit
agricultural financing gap across Sub-Saharan Africa
typical loan default rates due to poorly assessed risk
weeks for manual farm assessments at $50-200 per application
A credit scoring model that prioritizes yield potential, agronomic performance, and on-ground realities over traditional financial history—ensuring productive farms are visible, assessable, and financeable, even without formal records.
YieldRank doesn't ask "Did this borrower repay in the past?" Instead, it asks: "Given this farm's agronomic, climate, and market conditions, how likely is repayment?"
By synthesizing alternative data streams into actionable credit scores, YieldRank makes the financially invisible investable based on productive potential, not paperwork.
Updates monthly throughout the crop cycle, providing a living view of risk aligned with actual farm performance.
Assess productive capacity with crop-soil suitability, historical yield data, and real-time satellite crop health monitoring
A dedicated workspace for lending teams. Score applicants, monitor a live loan book, and act on deteriorating farms—without writing a single line of code.
Built for credit officers, risk teams and portfolio managers who need farm-level evidence at origination and a living view of risk afterwards.
See exposure, score distribution and concentration risk across every financed farm, by crop, region or loan officer.
Upload an applicant list or farm boundaries and score thousands of borrowers in a single batch run.
Open any applicant to see the agronomic, climate and alternative-data evidence behind their score, plus the key risk factors driving it.
Scores refresh through the crop cycle, flagging financed farms whose risk profile deteriorates before repayment falls due.
Give credit officers, risk committees and auditors the right level of access across branches and portfolios.
Export decision-ready credit memos and keep a defensible record of every score for internal and regulatory review.
Embed credit intelligence directly into your loan origination system, core banking platform or mobile lending app—and score a farm in the same request that captures the application.
A REST API over the same scoring engine behind the portal. Authenticate with OAuth2 tokens or scoped API keys, submit a farm, and get back a score, risk band and the data pillars that produced it.
POST /yieldrank/score
Score a single farm on demand, synchronously or asynchronously.
POST /yieldrank/scores/batch
Submit an entire applicant list for scoring in one request.
GET /yieldrank/score/{score_id}
Retrieve a completed score with its full breakdown, key risk factors and recommendations.
POST /yieldrank/self-assessment
Let farmers and field agents self-onboard and generate a preliminary score for their own farm.
// Request { "farm_id": "frm_7d21c4", "crop_type": "maize", "scoring_context": "credit_origination", "loan_reference": "LN-2026-00841" } // Response 200 OK { "score_id": "scr_a91f30", "farm_id": "frm_7d21c4", "status": "completed", "score": 742, "risk_band": "B+", "confidence_level": "high", "key_risk_factors": [ ... ], "recommendations": [ ... ], "next_review_date": "2026-09-15" }
Sandbox credentials, batch limits and full schemas are documented in the Developer API reference.
YieldRank is designed for institutions financing agriculture at scale, helping them reduce portfolio risk and expand rural credit access.