Building adaptive food systems that think, resilient, and abundant food infrastructure. We make the world's food systems work like software—adaptive, intelligent, and scalable.
Breadbasket's role is to translate physical variability into a unified, programmable environment.
Your equipment is heterogeneous. Your power is unreliable. Your supply chains are volatile. None of that changes. But through abstraction, sensing, and intelligent orchestration, we make all that variability visible, manageable, and optimisable. That's how you go from fighting chaos to programming it.
Production scheduling in African bread production is a constrained optimisation problem where energy costs, equipment utilisation, and demand forecasts interact constantly. You need 5,000 loaves by 6am tomorrow. If you start production during peak diesel hours, margins disappear. If you wait for grid power that doesn't come, you miss your delivery window. Bread has a 24-hour shelf life. The constraints are constantly shifting.
Demand forecasting is particularly difficult because traditional ML assumptions break down. Standard models assume stationarity—patterns stay consistent. But a wheat shortage rewrites all demand patterns. A price spike changes what people buy. Rainy season starts and fewer people visit kiosks. Grid schedule changes cause production delays that cascade into false demand signals.
Your data is sparse and noisy. SMS reports are late, incomplete, sometimes wrong. You don't have comprehensive sensor coverage. You're building models that work with missing data, detect regime changes quickly, understand causal structure (not just patterns), and quantify uncertainty properly. These aren't solved problems. They're problems we're solving daily.
This is why Breadbasket exists. Not to pretend this complexity away, but to build infrastructure that absorbs it, learns from it, and optimises through it.
You're not just getting bakeries. You're buying into a system where physical infrastructure, digital intelligence, and network effects compound together.
Modular units of production—bakeries today, pasta factories or processing plants tomorrow. Each cell is embedded with IoT sensors, energy monitoring, and throughput tracking. Cellular connectivity is built in, creating a resilient nervous system that enables autonomous operation during grid failures and network blackouts.
Think: programmable infrastructure that works anywhere, even when everything else fails.
The central intelligence that simulates demand, schedules production, routes energy, and optimises across all cells. Learns from network performance data in real time.
Think: industrial AI for food systems.
Each cell's data trains the system to allocate resources better, predict constraints earlier, and optimise across geographies. Over time, the network becomes self-improving.
Think: data network effects applied to calories.
The result: You're not building in isolation. You're joining a network that learns from every deployment. Data from each city improves the infrastructure for all others. Your city's demand patterns and resilience strategies become playbooks for the next. Your success becomes everyone's advantage.
How we scale from one city to fifty without proportional cost increases. Each element enables the others.
Building forecasting that handles Africa's supply chain volatility—non-stationary demand, sparse data, sudden price shocks, grid schedule uncertainty. We're developing models that detect regime changes quickly, work with incomplete information, and degrade gracefully when assumptions break. The result: precision instead of guesswork.
Each city deployment teaches the next. Data from Kinshasa improves Nairobi. Data flows between them. Systems get smarter with every million people fed.
Moving from one city to fifty doesn't require fifty times the effort. Proven systems and data from early deployments make each new city faster and cheaper to build. The effort grows linearly. The impact multiplies exponentially.
Reference implementations in fastest-growing cities prove the model works in each market. Data and proof points enable confident global scaling. Africa proves it. Everywhere else benefits.
The Three Layers aren't abstractions—they're realised through cells. Physical infrastructure that's programmable. Modular. Resilient to the grid failures and supply chain chaos that define rapidly growing cities.
A cell is a software abstraction that makes production work programmable at any scale—integrating with whatever hardware you already have, whether it's legacy equipment from decades ago or brand new IoT sensors.
Explore Cells in Detail→From proof point to city-scale operations. We don't ask partners to fund the learning. We learn together.
Breadbasket builds 1–2 reference hubs in fast-growing African cities. We prove the model works. Unit economics. Production. Distribution. Real-world constraints.
Breadbasket funds this phase. You watch the data.
Data from live operations hardens the infrastructure. Demand forecasting improves. Control systems optimise. Resilience patterns emerge. The system becomes replicable.
We distil lessons into playbooks and licensing models.
You enter here. You build your hub with proven playbooks, licensed infrastructure, and Breadbasket's ongoing support. You own the capex. We own the risk.
You finance scale. We provide the infrastructure that makes it work.
The advantage: By the time partners join, the model is proven. You're not funding research or discovery. You're deploying proven systems. Each city's learning becomes the next city's advantage. That's how we scale from proof point to fifty cities without proportional cost multiplication.
How Breadbasket builds proof points, hardens the infrastructure, and enables partners to scale without bearing technology risk.
Before we deploy physical Breadbasket cells, we build their digital twins. From London, our team maps the urban food ecosystem of a reference city—starting with Kinshasa—to model supply flows, demand nodes, and infrastructure gaps. This desk-based phase lets us test the model, unit economics, and partner readiness before touching the ground.
It's how we make each real-world deployment faster, cheaper, and data-driven from day one. By the time we build physical infrastructure, we already know how it performs.
Breadbasket funds proof points; partners finance scale. This model isolates technology risk from capex risk and enables exponential growth.
Initial capex for 1-2 reference implementation hubs to prove unit economics and infrastructure effectiveness. Data generated funds infrastructure development.
Partners finance their own hub construction and equipment. Breadbasket provides infrastructure, training, and continuous optimisation via licensing.
Recurring revenue from partners: technology infrastructure fees, data licensing, demand forecasting services, and optimisation consulting.
Near-term: proof points. Long-term: infrastructure licensing at scale. Each phase funds the next.
Breadbasket owns technology risk and infrastructure resilience. Partners own operational and capex risk, but benefit from our proven systems and continuous optimisation.
AI-driven demand forecasting and inventory management prevent both shortages and waste. Real-time optimisation adapts to supply shocks.
Cells execute independently during blackouts, maintaining batch state and running contingency plans locally. When power returns, they sync results back to the hub. Infrastructure challenges become optimisation opportunities, not operational stops.
Thousands of data points give us early warning systems. We see risks coming and adapt before they impact operations.
Multiple cities mean multiple markets and data sources. Each city learns from others. Failures in one location are prevented elsewhere.