Brazil Registers First Tokenized Dairy Cow Collateral Loan on B3
Key Takeaways
- •A farm in Paraná, Brazil secured a R$100,000 loan using 10 tokenized dairy cows valued at R$120,000 as collateral, marking the country's first registered livestock-backed digital collateral transaction on the B3 exchange.
- •Each cow was assigned a unique encrypted digital identity linked directly to the financing contract, a system designed to prevent the same animal from being pledged as collateral for multiple simultaneous loans.
- •AI-powered smart collars developed by Cowmed continuously track each animal's health, behavior, activity, and location, allowing lenders to monitor collateral quality remotely instead of relying solely on physical farm inspections.
- •Target FIDC is evaluating additional Brazilian farmers and aims to facilitate approximately R$5 million in livestock-backed financing before the end of 2026.
- •Cowmed currently monitors roughly 100,000 dairy cows across six countries with an estimated combined value exceeding R$2 billion, pointing to substantial scope for further tokenized livestock lending.

Brazil has registered its first livestock-backed agricultural loan using tokenized dairy cows as collateral on the country's B3 exchange, marking a notable application of blockchain-based infrastructure in rural finance. The transaction is also significant because Brazil is one of the world's largest beef exporters and a major dairy producer, making livestock a substantial asset class that has historically been difficult to use as loan security.
The model combines artificial intelligence, encrypted digital identities and real-time livestock monitoring to support farm lending. It is designed to help farmers secure financing while giving lenders more reliable information about the value and condition of pledged animals.
Brazil Completes First Tokenized Livestock Credit Transaction
The transaction allowed Fazenda Engenho Velho, a farm in Imbituva, Paraná, to obtain a R$100,000 loan, equal to approximately $19,600, using 10 dairy cows as collateral. The pledged animals were valued at R$120,000, or about $23,500, creating a collateral buffer intended to reduce risk for the lending institution.
BMP Sociedade de Crédito Direto issued the financing through a Financial Rural Product Note, commonly known in Brazil as a CPR-F. The CPR-F is a long-standing instrument in Brazilian agricultural finance, created in the 1990s to facilitate credit flows to the rural sector. After the credit was issued, BMP transferred the receivable rights to Target FIDC, which completed the registration through Brazil's official financial market infrastructure on B3.
The registration made the deal one of Brazil's earliest formally recorded digital collateral arrangements backed by livestock. Unlike many tokenized assets that trade on public blockchains, the structure assigned each cow a unique encrypted digital identity tied directly to the financing contract.
That digital record verifies ownership and is intended to prevent the same animal from being pledged as collateral for multiple loans at the same time. The transaction reflects Brazil's broader interest in using blockchain-related tools outside cryptocurrency markets and applying them to financial services used by traditional industries. Brazil's Central Bank has also been developing its own wholesale central bank digital currency initiative, known as Drex, as part of wider efforts to modernize the country's financial infrastructure.
BREAKING: Brazil just allowed tokenized cows to be used as loan collateral.
A farmer in Paraná was able to borrow $19,600 and used 10 dairy cows worth $23,500 as collateral for the loan.
Each cow has a unique digital identity and an AI-powered collar that allows lenders to… pic.twitter.com/v752qvTe0A
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AI Monitoring Supports Livestock Collateral Valuation
Each pledged cow wears an artificial intelligence-powered smart collar developed by agricultural technology company Cowmed. The devices continuously monitor health, behavior, activity and location, while transmitting verified information during the financing period.
The system allows lenders to monitor collateral remotely instead of relying only on repeated physical inspections of rural properties. It also helps confirm that the pledged livestock remains healthy and located on the registered farm.
Livestock collateral can be difficult for agricultural lenders to value because individual animals may be hard to monitor over the life of a loan. In conventional lending structures, cattle valued at market prices may receive lower collateral valuations because lenders cannot easily verify each animal's condition, location or continued availability as security.
Continuous monitoring is intended to reduce that uncertainty by giving financial institutions more reliable information for collateral assessment. As a result, farmers may be able to qualify for larger loans while pledging fewer animals than they would under conventional financing arrangements.
The encrypted identification system also strengthens fraud controls by assigning every pledged animal a unique code linked to the registered credit contract.
Tokenization Extends Into Agricultural Finance
Brazil's livestock-backed transaction highlights the expanding use of real-world asset tokenization in traditional financial markets. While tokenized government securities and real estate have attracted institutional attention, agricultural assets are also emerging as a practical use case.
Cowmed currently monitors approximately 100,000 dairy cows across Brazil, Canada, the United States, Uruguay, Paraguay and Bolivia. The monitored livestock represents an estimated value of more than R$2 billion, according to the source report, creating potential opportunities for additional tokenized financing structures.
Target FIDC is reportedly evaluating other Brazilian farmers and aims to facilitate about R$5 million in livestock-backed financing before the end of 2026. Those transactions remain under assessment, but the first registered deal shows how blockchain-enabled agricultural lending can be combined with livestock monitoring and digital collateral management.
If the model is adopted more widely, it could improve access to rural credit during tighter lending conditions while giving financial institutions stronger tools to manage livestock-backed collateral.