Data intelligence for agricultural value chains.
Agricultural organizations across Africa operate with fragmented data. Farmer records exist in paper, extension data in spreadsheets, and market information across disconnected systems. This limits visibility into farmer outcomes, input distribution effectiveness, and market opportunities.
The data problem
Fragmentation across agricultural value chains.
Agricultural organizations work with thousands of farmers across geographies. Farmer data lives in paper registration forms. Extension worker reports arrive via phone calls and spreadsheets. Market price information is scattered across sources. The result: limited visibility into program impact, inefficient input distribution, and missed market opportunities.
The solution
Designed for agricultural value chains.
Forge unifies farmer records, extension data, and market information into a queryable data lake. REOL provides AI-powered insights into farmer outcomes, input effectiveness, and market opportunities. SEL automates extension workflows and reporting with real-time dashboards.
Deployment concept
What a Forge deployment looks like.
An agricultural organization working with 10,000 farmers across regions deploys Forge to unify operations and improve farmer support. Here is how the transformation unfolds across the value chain.
Paper registration forms at field level. Data entered manually into spreadsheets.
Digital onboarding with DIL normalizing farmer data into unified database with geolocation.
Extension workers submit reports via phone and spreadsheets. No real-time field visibility.
Mobile data collection with automatic consolidation. Real-time dashboards of extension activities.
Manual tracking of inputs distributed. Limited visibility into farmer uptake and outcomes.
Automated input tracking with farmer-level attribution. Real-time visibility into distribution.
Market prices collected manually from scattered sources. Limited market visibility.
Integrated market data with AI-powered price forecasting and opportunity identification.
Impact assessment happens annually through surveys. Delayed insights.
Continuous impact measurement with real-time farmer outcome tracking and analysis.
Field operations
Built for rural connectivity realities.
Agricultural operations often happen in areas with limited or unreliable connectivity. Forge is designed to work offline-first, with data synchronization when connectivity is available. Extension workers can collect data in the field without worrying about network availability.
Agricultural intelligence starts with the field, not the office.
Terra, our precision agriculture platform, was built from the same Forge primitives that power enterprise deployments for agricultural organizations. The DIL that structures farmer records for a cooperative is the same DIL that structures field data for Terra. The REOL that analyzes input effectiveness for an extension program is the same REOL that powers Terra's crop monitoring and yield forecasting.
The difference is that Terra comes pre-configured for agricultural use cases, while a custom Forge deployment lets you design the data model around your specific value chain. Whether you are a cooperative tracking 10,000 farmers or an agribusiness managing supply chain visibility, you are running on the same offline-capable, GPS-aware infrastructure. We built it for the field because that is where agricultural data is created.
Data intelligence for your agricultural programs.
Book a scoping call and we will analyze your current data architecture to show you exactly how Forge would transform your farmer support and extension operations.