- Chainlink has developed an initiative to address the long-standing challenge of data fragmentation in the financial sector, by combining AI, oracles and blockchain technology.
- The solution integrated with the Chainlink Oracle Protocol provides standardized, real-time data access and automates validation processes, improving efficiency and accuracy for financial institutions and stakeholders.
Over the past year, the rise of artificial intelligence (AI) has captivated investors and businesses, paving the way for a wave of innovative applications. Since its launch in 2022, ChatGPT has attracted mainstream attention and significant investments have rushed into AI projects.
One of the projects includes Sentient Labs, an AI startup co-founded by an executive involved in the Polygon blockchain. The project notably obtained funding of $85 million from investors, notably the Founders Fund of billionaire Peter Thiel.
Surprisingly, this renewed interest has not been limited to technology companies, but has also found its way into the decentralized finance (DeFi) sector. A new approach is also emerging at the intersection of traditional financial technology and blockchain technology, driven by significant players in the financial market infrastructure (MFI) sector.
In a official reportChainlink has unveiled an initiative that aims to tackle the pressing problem of financial data management: the chaos surrounding corporate actions, standardized data, and fragmented markets like Europe.
The challenge of data fragmentation
As noted above, the financial industry faces a significant challenge: fragmented data regarding corporate actions such as mergers, dividends and stock splits. This fragmentation leads to inefficiencies and inaccuracies, costing institutions $3 million to $5 million annually.
For more than a decade, financial institutions, including the Depository Trust & Clearing Corporation (DTCC), have attempted to resolve these persistent problems, but progress has been slow. Many companies find themselves manually revalidating custodians and exchanging data, making the process not only time-consuming, but also error-prone.
Research shows that inefficient securities trading processes cost regional investors, brokers and custodians approximately $3 million to $5 million annually, with 75% of firms manually revalidating custodians and exchanging data. Globally, approximately 70% of companies incur additional expenses due to securities transaction errors, some exceeding $43 million, with data issues accounting for 56% of these errors.
Chainlink’s innovative solution
Chain link identified the need for a more systematic approach by combining AI, oracles and blockchain technology, Chainlink is poised to be a game-changer. The decentralized network works alongside the world’s leading MFI providers, including Fasta network used by banks to communicate. The other players are Euroclear, Franklin Templeton, financial institutions like UBS, Franklin Templeton and Wellington Management, CACEIS.
The backbone of this solution lies in Chainlink’s Oracle technology. Oracles serve as critical bridges between real-world data and blockchain systems, enabling reliable data feeds that blockchains cannot achieve independently. Chainlink already has an impressive track record, having facilitated over $16 trillion in transactions through its oracles and Cross-Chain Interoperability Protocol (CCIP). Through the integration of large language models (LLMs) such as DeepAI’s ChatGPT and Google’s Gemini, Chainlink is pushing the boundaries of data validation.
As a collective, this initiative will create “A unified golden record“. A unified Golden Record is a reliable, durable, and updatable data container that efficiently synchronizes across blockchains, containing primarily financial data. It acts as a single source of information accessible to all market participants, such as issuers, banks, MFIs, asset managers and investors.
By cleaning and verifying securities transaction data directly on the blockchain, the process becomes more efficient and accurate. This on-chain data can quickly flow between private and public chains, improving accessibility and trust between stakeholders.
As Stéphanie Lheureux of Euroclear points out in the report, the synergy of oracles and AI should rethink workflows to generate more efficiency, transparency and value. This quiet revolution within financial institutions demonstrates that impactful innovations often occur behind the scenes, systematically solving complex problems in traditional finance.