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RWA
AI・IoT
Traceability
Financial Infrastructure
Asset-Based Lending
2026年07月29日

Ten Cows, R$100,000: Why the Real Value of RWA Is Verification, Not Liquidity

牛10頭で320万円——ブラジルの乳牛担保融資が示す、RWAの本当の価値は「流通」ではなく「検証」にある

What happened

As reported by CNN Brasil on July 21, this was the first formal credit operation in Brazil using tokenised dairy cows as collateral to be registered with B3. Encrypted unique codes, generated from data on each cow's health, behaviour and location, were attached to a credit contract structured around a CPR Financeira (CPR-F) and registered with B3 as collateral information. A CPR-F is an agricultural security issued by producers or cooperatives that settles in cash at maturity rather than through physical delivery of commodities.

Collateral management relied on smart collars from Cowmed, an agricultural technology company. The collars continuously capture behavioural data including activity, rumination, rest and panting, which feed analysis of health, reproduction, nutrition and heat stress. That data is converted into an encrypted unique digital code functioning as an electronic identity for each animal.

According to Brazilian agricultural media, the participating operation was Fazenda Engenho Velho in the state of Paraná, where ten dairy cows with a combined appraised value of 120,000 reais (about 3.84 million yen) were pledged against a CPR-F with a face value of 100,000 reais. The producer issued the CPR-F naming BMP, a digital credit company authorised by Brazil's central bank, as payee, and received funding. BMP subsequently assigned the receivable to the investment fund Target FIDC Multicrédito, which became the creditor and registered the transaction with B3.

The economic core is haircut compression

The most consequential element of this deal is neither its size nor its technical architecture. A director of Target FIDC identified the economic core in remarks to CNN Brasil: the principal barrier to banks accepting herds as collateral is the absence of reliable information about the animals' location and condition, and market practice has therefore been to apply steep haircuts to appraised herd values. In the example he gave, a cow valued at 20,000 reais (about 640,000 yen) might be recognised as collateral worth only 8,000 reais (about 260,000 yen). Roughly 60% of the value was being erased purely by informational uncertainty. With continuous monitoring, valuation begins to reflect the animal's actual market value.

This shifts where the centre of gravity in RWA discussions should sit. Tokenisation is conventionally pitched as bringing liquidity to assets that previously did not trade. But the value created here is not liquidity. It is that the same asset can now support substantially more borrowing, which is haircut compression itself. If the haircut improves from 60% to 20%, the producer can draw roughly twice the funding from the same herd. For the lender, physical on-site inspection of collateral becomes unnecessary, lowering the operating cost of underwriting and ongoing monitoring.

One further function, easily overlooked, is decisive. Registering each animal's unique code with B3 prevents the same herd from being pledged simultaneously across multiple credit operations. The main practical reason movable-asset lending fails to scale is the inability to detect double pledging. The role the exchange plays here is not that of a trading venue but that of a registry guaranteeing uniqueness. In addition, if an animal dies the producer can substitute another digitally, and the structure incorporates roughly 20% more animals than strictly required in order to maintain collateral value through the life of the financing, a practical accommodation to the biological risk inherent in the asset.

What "tokenisation" actually means here

A careful caveat is warranted. Coverage has used the phrase "tokenised cows," and some reports state that the digital identification is protected by blockchain. However, the specific technical configuration, including which blockchain, which token standard, and what smart contracts are involved, has not been disclosed. What can be confirmed is that the loan and its collateral information were registered with B3, not that any token representing the cows was listed or traded there.

Strictly speaking, then, this is likely a case of digital identification and centralised registration of collateral rather than a token circulating on a public blockchain. Reading that as a disappointment would be a mistake. The opposite conclusion is warranted: financial value can be created through identification and registration alone, without any token circulating. For companies evaluating RWA opportunities, that materially changes the investment case.

On scale, Cowmed monitors roughly 100,000 dairy cows across more than 1,000 farms in Brazil and other countries in the Americas, with the estimated value of that herd exceeding 2 billion reais (about 63.8 billion yen). The company's chief executive projects that if 20% of the monitored herd is pledged as collateral over the next two years, financing of this type could reach roughly 400 million reais (about 12.8 billion yen). The backdrop is a period of severe credit restriction in Brazilian agribusiness. These figures are company projections, however, and carry no guarantee of realisation.

Business Development Insights

  1. The RWA value proposition should be reframed from providing liquidity to compressing haircuts. What this transaction created was not an opportunity to trade but a recovery of collateral value through reduced information asymmetry. If an asset previously recognised at 40% of appraised value can be valued at market, borrowing capacity roughly doubles on that basis alone. The logic extends far beyond livestock, to inventory, machinery, agricultural output, seafood, and any movable asset whose condition can be captured by sensors. When Japanese companies design RWA businesses, a "build a secondary market" strategy generates no value until enough participants arrive, whereas a "compress the haircut" strategy delivers benefits to both borrower and lender from the very first completed transaction. The two have fundamentally different paths to viability.
  2. The bottleneck is registration infrastructure rather than technology, and Japan holds a structural advantage there. B3's essential function in this deal was registering per-animal unique codes to prevent double pledging. Japan already operates public registration systems for assignments of movables and receivables, and on May 25, 2026 the Act on Promotion of Business-Based Finance took effect, creating the enterprise value charge, a security interest over an entire business including intangible assets. For that instrument to work in practice, continuous visibility into the condition of the underlying assets is indispensable. Businesses that connect IoT-based asset monitoring to existing registration systems face a market-forming window over the next few years, beginning with the year the law came into force.
  3. The opportunity sits in the collateral monitoring layer, where competitive advantage comes from assurance of data integrity. Cowmed is an agricultural technology company, not a financial institution, and what it contributed was sensor-based condition capture and conversion into unique codes. Once lenders use that information for collateral valuation, the value of the service is determined by tamper resistance, treatment of missing data, detection of removed devices, and verifiability by third parties. Japan has no shortage of IoT vendors across agriculture, fisheries, logistics and manufacturing, but most position productivity improvement as their value proposition and have not designed for the data assurance standards financial use demands. Retrofitting evidentiary rigour sufficient for lender collateral valuation onto existing sensor businesses is the most realistic entry point for Japanese companies.

Sources

Supervisor

Akihisa Ishida

Cabinet Inc. Founder CEO

Since 2017, He has been consistently engaged in token and NFT utilization, blockchain game planning and development, and NFT-based business development. Having contributed to over 80 blockchain products—including projects for major entertainment companies listed in Tokyo Stock Exchange —He has served in various key roles such as Business Lead, Designer, PM, and Advisor. In 2021, founded Cabinet Inc.

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