The agritech credit paradox: Lessons from TaniHub and Indonesia’s first agritech generation

Indonesia's agritech sector has evolved significantly since 2021, when TaniHub raised its Series B funding. The first wave of agritech platforms aimed to bring technology to smallholder agriculture, akin to how fintech transformed SME credit for other segments. However, despite some growth and restructuring, the credit arm of the sector has faced greater challenges than anticipated by founders and investors.

The author, with direct experience in Indonesian risk functions, has observed the difficulties that arose from the unique risk landscape of agritech credit. The story behind the first generation of agritech platforms is more informative than the individual company narratives. The first agritech generation built two complementary infrastructures: marketplaces connecting smallholder farmers to buyers and credit platforms offering working capital for seeds, fertilizers, equipment, and harvest financing.

One notable platform, TaniHub, pioneered both sides of this infrastructure through its TaniFund credit arm. However, several structural challenges made it harder than initially expected. Harvest cycle credit timing proved complex, as repayments were tied to single harvest events that could be months away and may not yield the expected volume or price.

Default correlation was another issue, as weather, pest events, commodity price collapses, and other events can cause simultaneous defaults among hundreds of farmers in a region. Additionally, the operational costs of underwriting, monitoring, and collecting small agricultural loans spread across remote areas were higher than expected, often requiring in-person verification.

These factors forced platforms to either subsidize rural lending from other revenue lines or stop lending altogether. The author identifies six key lessons from the Indonesian agritech credit cycle. Agri-credit cannot be treated like consumer credit, as its risk dynamics are fundamentally different. Correlation of defaults is a significant pricing error, and diversification across crops, geographies, and harvest cycles is vital for solvency.

Platforms that did not account for the cost of remote, small-ticket lending from the outset ended up cross-subsidizing it or ceased lending. Funding tenor must align with agricultural harvest tenor, as short-term retail or institutional funding does not match the longer agricultural cash flows. Platforms that successfully survived incorporated funding partners able to hold positions through full agricultural cycles, not just calendar quarters.

The buyer side of the agritech infrastructure proved more durable than the credit side, as the market connections built to connect farmers to buyers and aggregate produce have proven more resilient. Despite the challenges, the credit gap in Indonesian smallholder agriculture remains significant. The first generation of agritech platforms demonstrated that technology could help address this gap, but the journey was more difficult than initially anticipated.

The next generation of agritech entrepreneurs will need to absorb the lessons learned from the first generation to avoid paying the same price for the same mistakes. This sector still holds significant potential, as Indonesian smallholder agriculture employs millions and contributes substantially to the country's food supply.