Land
Africa holds approximately 60% of the world's remaining uncultivated arable land (FAO). The continent has the physical capacity to feed itself and supply global markets — land has never been the constraint.
Three facts that frame everything we do
Africa holds approximately 60% of the world's remaining uncultivated arable land (FAO). The continent has the physical capacity to feed itself and supply global markets — land has never been the constraint.
33 million smallholdings employ the majority of Sub-Saharan Africa's rural working population. They produce roughly 70% of the continent's food (FAO). They are the system that has to be modernised — not bypassed.
Africa imports $50B+ of food annually (AfDB) and its population doubles by 2050 (UN). The world needs Africa to grow more — and Africa needs to capture the value of doing so, rather than exporting raw commodity and importing finished food.
Generative AI is the foundation of the GT-AI knowledge layer. Trained on regulatory frameworks, agronomic protocols, market data, and compliance regimes, our models continuously construct and curate two foundational directories that turn fragmented domain knowledge into structured, machine-readable intelligence.
Together, the Global Product Directory and the Global Marketplace Directory are the integrated global view of African agriculture — what is grown, how it is grown, and where it moves to. Every venture in the network consumes them. Every transaction adds back to them.
The knowledge backbone behind every venture
Machine-readable knowledge for every commodity in scope: classification, varietal, production regimes, quality grades, certification status, regulatory regimes by destination market. The reference data layer behind sourcing, compliance, and trade.
Regulatory frameworks, trade agreements, logistics routes, market demand, certification requirements, and price benchmarks across producer and consumer geographies. The reference data layer behind logistics, market entry, and pricing.
Generative AI builds the knowledge. Agentic AI acts on it — in production, across the network.
Autonomous EUDR and CSDDD compliance pipelines for tea and cocoa supply chains. Geospatial farm registration, deforestation risk monitoring, and audit-ready document generation execute without human intervention — turning a six-month compliance project into a continuous, always-current state.
AI-driven sourcing matches buyer requirements to producer capabilities at scale. Annual multi-commodity, multi-country procurement plans assembled in hours rather than weeks — with logistics, weather windows, harvest calendars, and regulatory cliffs reasoned about as a single workflow.
Premium consumer products with provenance built in from harvest. Farm-to-retail profit-sharing calculations execute continuously — every bottle of Purple Tea or specialty coffee carries verifiable smallholder economic data the consumer can see.
Agronomic intervention recommendations tailored per farm using satellite imagery, weather data, and yield history. Smallholder onboarding, training plans, and certification pathways orchestrated by AI agents — scaling producer development to thousands of farms simultaneously.
Land, farmers, and demand — transformed
Geospatial monitoring brings the uncultivated 60% of arable land into productive use, sustainably. Conservation agriculture and farm-level carbon accounting turn the climate footprint of expansion from a debt into a credit.
33 million smallholdings operate with the same data resolution as a European commercial farmer. Modern practice, standards adoption, and certification pathways available to every farm — not just the few that can afford bespoke programmes.
Africa stops being a raw-commodity exporter and net food importer. The $50B+ import bill becomes a value-add export opportunity. Producers capture value at every stage of the chain — not just the bottom.
Investors · Government partners · Programme operators · Domain experts