At the Money20/20 Asia event in Bangkok, the primary shift identified in the financial landscape was the significant transition from traditional finance rails to decentralized finance (DeFi) rails. Mario Bernardi, Head of Ecosystem at Pyth, noted that institutions traditionally limited to legacy systems—such as those involved in borrowing, lending, and perpetual decentralized exchanges (DEXs)—are now expanding into the Web3 ecosystem. This shift represents a move toward integrating financial rails within the DeFi space, allowing traditional institutions to tap into the unique capabilities of blockchain-based infrastructure.
Pyth is facilitating this transition by addressing the long-standing challenges of high costs and fragmentation in financial data distribution. Historically, institutions have relied on major data distributors, which often require expensive subscriptions and multiple API integrations to cover different asset classes. By offering a decentralized alternative, Pyth allows companies to move away from these restrictive legacy models and toward a more agile, blockchain-native approach to data consumption that is better suited for the modern DeFi landscape.
For banks and fintechs adopting this solution over the next 12 months, the primary results will be substantial cost reduction and a massive increase in data efficiency. Traditional data subscriptions can cost thousands, or even hundreds of thousands of dollars, for a single API. In contrast, Pyth allows users to access all necessary assets through a single subscription and a single API integration. This streamlined approach eliminates the need to plug into multiple vendors, significantly reducing technical overhead while providing comprehensive market coverage, allowing institutions to operate more effectively within both traditional and decentralized financial markets.
Key Highlights from Mario Bernardi:
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The Shift to DeFi Rails: Bernardi identifies the movement of traditional borrowing, lending, and DEX institutions toward decentralized Web3 rails as the year’s biggest shift.
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Drastic Cost Reduction: How moving away from expensive legacy distributors like Bloomberg or Refinitiv can save institutions tens or hundreds of thousands of dollars.
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Unified Data Efficiency: The advantage of using a single API through Pyth to cover all required asset classes instead of managing multiple vendor integrations.
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Expanding Financial Infrastructure: A look at how institutions are leveraging decentralized rails to modernize their traditional financial operations.
