By Susan Njihia
Ask most people what is holding back mechanization in Africa, and cost will sit high on the list. Tractors require significant capital, financing remains constrained, and the economics can be difficult to justify for a smallholder farmer. Yet cost is only part of the equation. Much of that cost challenge is itself a function of a deeper structural constraint: coordination.Here's why the distinction is critical. A tractor's cost only becomes justifiable when it's busy. If it's sitting idle most of the season because demand is scattered across a handful of disconnected farms, the economics never close, no matter how cheap financing gets. But, organize that same demand into serviceable clusters like enough farms, close enough together, coordinated well enough that a machine can move from one job straight into the next and the equation flips. The tractor stays productive through the season, revenue from the yield intensification it enables starts to absorb the investment, and the cost that looked prohibitive on paper turns out to have been solvable all along. The machine was never the constraint. The coordination around it was.
This reframes something else people ask me about constantly: timing. Farmers need services during narrow windows; you can't prepare land or plant whenever it's convenient, only when the season allows it. It's tempting to treat that as its own separate problem, something you solve with better logistics or faster dispatch. I don't think it's a standalone issue at all. Timeliness is a symptom of coordination, not a problem in its own right. Because supply is genuinely limited, there simply aren't enough tractors yet to meet demand everywhere at once. The real lever isn't finding more machines. It's organizing the machines we already have so their utilization is as close to optimal as possible. Fix coordination, and the timing problem shrinks on its own.
The cost of getting this wrong is easy to underestimate. Poor coordination doesn't just mean an inefficient season. It pushes farmers back toward under-cultivation and manual, often household, labor, which feels cheaper in the moment but is more expensive over time than mechanization ever would have been. It also caps how far a farmer can grow. A household working in isolation stays a household operation. Organized into a cluster, that same farmer gains access to economies of scale they couldn't reach alone; collective purchasing power on inputs, shared storage, a real path out of subsistence farming and into something commercial. Coordination goes beyond efficiency gain. It's the difference between a farmer staying where they are and a farmer actually growing. None of this works, if we only think about it as an engineering problem.
My definition of success in this work has changed over the years. It used to be simple: deploy more tractors. Now it's something closer to empathy; genuinely understanding the farmer's journey and rising above the technical specifications of the equipment we're building around it. This is an ecosystem built on generational knowledge, where trust isn't assumed, it's earned. That means show-and-tell over top-down instruction, rapid prototyping instead of long design cycles disconnected from the field, and being precise about the value we promise, because a farmer who's told they'll see a yield increase needs to actually see it. Innovation that outruns trust doesn't get adopted, no matter how good the engineering is.
That same human-centered thinking shapes how we think about the business model itself. The instinct in this industry is often to extract value from the farmer's pocket at every opportunity. We've built our approach the opposite way; designing for multiple, incremental profit pools spread across the production cycle, so no single point in the chain is carrying the entire cost. That looks like telematics devices that support fleet management, tractor financing structured around how farming actually works, maintenance and spare parts delivered through local hubs, and transactional revenue captured along the way. Value gets created and captured throughout the journey instead of squeezed out of the farmer at the point of sale. That's what makes the ecosystem sustainable enough to keep growing.
What governments, innovators and investors choose to measure shapes what they choose to solve. Give coordination and timing greater weight alongside machine count, and an entirely different set of questions arise. What market incentives are we creating for service providers to organize demand well, instead of just distributing machines? Are our financial instruments actually calibrated to agricultural seasonality, or are we forcing farm businesses into repayment structures built for entirely different industries? Is capital genuinely accessible to the service providers coordinating this work on the ground, or only to the largest players who least need it? And are we validating agricultural risk with real data, instead of pricing it based on assumptions that it's inherently riskier than it actually is? Those are the questions that determine whether mechanization scales sustainably or stalls out the way so many well-funded programs already have.
This is also where I think innovation earns its keeps as a form of risk mitigation. Before we deploy anything at scale, we prioritize experimentation and data-driven validation, quantifying the actual return on investment a solution delivers before we ask farmers to bet their season on it. That discipline matters because a farmer's tolerance for a failed experiment is nowhere near what an investor's tolerance is. Innovation that skips validation isn't protecting anyone, it's just shifting risk onto the people least equipped to absorb it.
This is the thinking behind ST2. Beyond being a new equipment entering the field, it's a system built around coordination, validated value, and a business model designed to keep every part of the ecosystem viable, from the farmer up through the service providers financing and maintaining the fleet around them.
I think about the destination often. Africa has the land and the population to feed itself, and eventually to feed considerably more than itself. Getting there was never going to be a story about more tractors. It's a story about building systems. The coordination, the trust, the financing, the validated innovation that let the equipment we already have, and the equipment still to come, actually do the work it was capable of all along. That's how a continent goes from importing its food to becoming one of the world's genuine food baskets. The first, and most common, question is how many machines exist. The more important question is what system makes every machine count.