Plume Network Launches $200M Tokenized Credit Platform
Plume Network partners with BlackOpal for $200M Brazilian credit receivables tokenization on blockchain.
- Plume Network partners with BlackOpal for credit receivables tokenization.
- Involves $200M facility led by Mars Capital Advisors.
- GemStone product targets Brazil’s credit market.
Plume Network and BlackOpal have launched the GemStone product, tokenizing Brazilian credit card receivables backed by a $200M facility from Mars Capital Advisors.
This initiative marks a significant step in integrating real-world assets with blockchain technology, potentially impacting institutional investment strategies.
Plume Network has announced a collaboration with BlackOpal to bring Brazilian credit card receivables onto the blockchain. The project is backed by a substantial US$200M anchor facility offered by Mars Capital Advisors.
The main entities involved are Plume Network and BlackOpal, leveraging their expertise to tokenize Brazilian credit card receivables. This initiative introduces GemStone, a product aimed at tokenizing real-world assets on Plume’s platform.
This collaboration is expected to significantly impact the Brazilian receivables market, worth around $100B. The introduction of GemStone will enhance liquidity through Visa and Mastercard settlement infrastructures.
“GemStone represents a fundamental rethinking of emerging market credit. We don’t underwrite merchants. We don’t take credit risk. We purchase receivables as True Sale that settle through Visa and Mastercard payment rails, with ownership locked at the Central Bank level.” — Jason Dehni, CEO, BlackOpal
Through integration with existing payment networks, the project is revolutionizing the credit market by removing reliance on merchant repayments. This shift highlights the potential for increased efficiency in asset management and liquidity optimization.
The use of blockchain for credit receivables in Brazil signifies a new financial strategy, potentially influencing global regulatory and technological trends. Historical precedence coupled with existing methodologies predicts positive reception within financial sectors.
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