At a milk collection point in Kenya's Rift Valley, the morning ritual is changing. A farmer hands over a churn, a cooperative clerk logs the volume and quality on a tablet, and the price hits the farmer's account on a schedule the farmer can actually count on. That, in a sentence, is the bet SpaceAI is making: that the dairy supply chain in sub-Saharan Africa runs on trust, and trust runs on data.
The Kenya-based company is selling a digital platform to smallholder dairy cooperatives, the institutions that aggregate milk from thousands of small farms and route it to processors. SpaceAI's pitch is that its software simplifies data collection, quality checks, and payments at the collection point, and stitches that activity into a record that follows the milk up the chain [SpaceAI]. The company says cooperatives using the platform have seen milk collections rise by up to 30% month on month [SpaceAI], a figure that, if it holds across more deployments, would put real money into farmer pockets and processor balance sheets alike.
The wedge is the cooperative, not the farmer. SpaceAI's live deployments list, visible on its own administrative login, names Kabiyet Dairies, Kabiemit Farmers, Lamaiywet Farmers Cooperative Society, TINGWA FCS, Ndubeneti FCS, Singalo Farmers Cooperative Society, and Tuiyo Farmers Cooperative Society as cooperatives running on the system [SpaceAI]. CIO Africa reported a partnership with Tuiyo Cooperative to digitize the dairy value chain [CIO Africa], which lines up with the standalone Tuiyo tenant the company hosts. Selling to co-ops rather than individual farmers is the right structural choice in this market: the co-op is where the scale, the bank account, and the procurement decision sit.
Why the category is interesting
Kenya's dairy sector is one of the larger smallholder dairy economies in Africa, and its cooperatives have historically run on paper ledgers, SMS, and informal quality grading. The opportunity to digitize that workflow, capture clean data on volumes and butterfat, and route payments through a software rail is the kind of unsexy infrastructure bet that has built durable agtech companies elsewhere. SpaceAI is not alone in seeing it. DigiCow, a Kenyan competitor, has been working the same farmer-cooperative seam for years. Competition in this case is a signal that the buyer exists.
SpaceAI was admitted to the SAIS Accelerator, the Sustainable Agribusiness Innovation System program that backs early-stage African agribusinesses [SAIS Accelerator], and SAIS is listed as both accelerator and investor on the company's profile. A funding round was recorded in February 2024, with terms undisclosed [Crunchbase]. SAIS also runs an Investment Readiness Programme aimed at preparing portfolio companies for institutional capital [VC4A], which suggests the next milestone for SpaceAI is a priced round with named outside investors rather than further grant-style support.
The team
SpaceAI's founding group includes Diego Favarolo, listed as Founder and CEO [Tracxn], alongside co-founders Harry Hare [RocketReach] and Nick Williams. Hare is a known figure in East Africa's tech media and conference circuit, which matters in a market where cooperative leadership and county-level agriculture officials are reached through relationships, not cold email. Favarolo is identified across third-party databases as the chief executive driving the product.
What the numbers look like so far
| Data point | Value | Source |
|---|---|---|
| Reported lift in milk collections | up to 30% month on month | [SpaceAI] |
| Cooperatives visible on platform | 7 | [SpaceAI] |
| Disclosed funding round | Feb 2024, terms undisclosed | [Crunchbase] |
| Named accelerator and investor | SAIS | [SAIS Accelerator] |
| Direct competitor cited | DigiCow | company research |
The headline metric, a 30% month-on-month lift in collections, deserves the caveat that it is the company's own figure and likely reflects the best-performing cooperative rather than a portfolio average. Still, the mechanism is plausible: when farmers trust that volumes are recorded accurately and payments arrive on time, side-selling to informal traders drops and more milk flows through the formal co-op channel. That is the same dynamic that has driven mobile-money-led formalization in adjacent African sectors.
What bears will say, and the bull answer
The most credible pushback is competitive. DigiCow has been in the Kenyan dairy software market longer and has brand recognition with farmers and county dairy officers. A bear would argue that a later entrant has to out-execute on the ground in a market where switching costs for a cooperative, once it has trained its clerks and migrated its member roster, are real. The bull answer in the cited evidence is that SpaceAI is selling at the cooperative level with a payments and traceability story, not a farmer-app story, and the seven cooperatives already provisioned on its tenants suggest it is winning the procurement conversation that matters. Traceability, in particular, is becoming a procurement requirement for processors selling into formal retail and export channels, and a platform that captures it natively at the collection point has a defensible reason to exist.
What to watch over the next 12 months
Three things will tell the story. First, whether SpaceAI converts its SAIS relationship into a priced seed round with a named institutional lead, the kind of milestone that would validate the thesis to the broader East African investor base. Second, whether the cooperative count visible on the platform grows from seven into the dozens, and whether any of the larger county-level dairy unions sign on. Third, whether any milk processor, the buyer at the top of the chain, publicly endorses SpaceAI's traceability data as a procurement input. That last one would change the conversation from a co-op tool to a supply-chain standard.
The ambition here is not modest. If SpaceAI becomes the system of record for how Kenyan dairy cooperatives log, grade, and pay for milk, the company sits on a dataset that processors, lenders, and insurers will all want to buy from. Which raises the question worth asking the founders the next time they update the market: how many liters are flowing across the platform today, and how many will be flowing a year from now?