The Data Infrastructure Powering Smarter Agricultural and Financial Decisions in Africa. CropSense continuously transforms satellite imagery, climate signals, and field observations into trusted agricultural intelligence powering farmers, lenders, insurers and aggregators.
The Data Infrastructure Powering Smarter Agricultural and Financial Decisions in Africa. CropSense continuously transforms satellite imagery, climate signals, and field observations into trusted agricultural intelligence powering farmers, lenders, insurers and aggregators.
Every monitored field improves our models, making predictions, recommendations, and financial decisions more accurate across the ecosystem.
Powering decisions for
Farmers · Banks · Insurers · Aggregators
CropSense unifies satellite, agronomic, climate, market and financial data into a single record for every field — then turns it into intelligence farmers can act on and institutions can underwrite.
Multi-Source Data Ingestion
AI Models Built for African Conditions
Agronomic & Financial Intelligence
Continuous Monitoring & Model Improvement
Fields stay under observation through the season. Every new signal and observed outcome retrains our models, sharpening the next forecast and the next credit decision.
Agronomic intelligence for farmers and agribusinesses. Financial intelligence for the institutions that fund them.
Financial institutions, aggregators, insurers and governments run on the same field-level data layer. Here's what they build with it.
Our Mission: To make every African farm visible, measurable and financeable by transforming farm-level data into intelligence that improves productivity, reduces risk and unlocks opportunity.
Our Vision: A continent where every farmer can access the advice, protection and capital they need based on the productive potential of their farm, not the availability of a paper record.
Free satellite monitoring and WhatsApp advisory put decision-grade data in the hands of farmers who could never afford it.
By making farms assessable without a field visit, we help lenders and insurers reach the 80% of smallholders with no formal credit history.
Better forecasting and earlier warnings cut losses across the supply chains that feed the continent.
Field-level climate risk data supports adaptation, carbon monitoring and credible sustainability reporting.
Research, data, trends, and tools for next-gen African farming.
CropSense is agricultural intelligence infrastructure for Africa. We combine satellite imagery, weather and climate signals, soil data, field observations and financial records into a live record for every farm, then apply AI models calibrated to African conditions. That single data layer powers four products: CropSense Advisory for farmers, YieldRank™ for agricultural credit, YieldSecure™ for crop insurance and YieldPay™ for farmer payments.
YieldRank™ is our agricultural credit scoring engine. Instead of asking whether a borrower repaid in the past, it asks how likely repayment is given the farm's agronomic, climate and market conditions. Scores draw on three data pillars: agronomic intelligence, climate risk profiling and alternative financial proxies such as mobile money history, input purchases and cooperative participation. They update monthly through the crop cycle, so lenders see a living view of risk rather than a snapshot, and they are delivered through a lender portal, batch scoring or an API. Learn more about YieldRank.
No. CropSense is infrastructure, not a lender or an insurer. We do not originate loans, hold risk on our balance sheet or compete with our partners for the borrower. Institutions keep the customer relationship and the credit or cover decision, and CropSense supplies the farm evidence those decisions rest on.
Model performance is shared with partners under review, covering yield prediction error, alert precision and recall, ground truth sample size, and the crops and geographies each model has been validated on. We also state known limitations openly. For example, the 10 metre resolution of Sentinel-2 imagery limits accuracy on very small intercropped plots. Institutions evaluating YieldRank can back-test it against their own historical portfolio before deploying it. Request the model performance summary.
Farmer data is processed in line with the Nigeria Data Protection Regulation (NDPR) and equivalent frameworks in the markets we operate in. Farmers consent to how their data is used, a farm record is shared with a lender or insurer only with the farmer's permission, partners receive only the data required for the assessment they requested, and we do not sell farmer data to third parties. See our Privacy Policy for full detail.
Yes. Institutions can work in the CropSense enterprise portal straight away, or integrate our data and models into their loan origination, core banking, insurance or digital lending workflows through our API. See the Developer API documentation.