Bloomberg has announced a strategic partnership with Kaiko aimed at addressing persistent data fragmentation in blockchain-based financial markets. The collaboration is focused on expanding access to licensed financial information directly within blockchain environments, allowing institutional participants to rely on consistent and authoritative datasets as they experiment with tokenized assets.
Bloomberg, the world’s largest privately held media company with a core focus on financial data and analytics, is seeking to bring greater structure to markets where information is currently distributed across multiple providers. Kaiko, a Paris-based data and crypto analytics firm, brings specialized expertise in digital asset markets. Together, the companies intend to distribute and license Bloomberg’s financial information on-chain for banks, financial institutions, and other regulated market participants.
Addressing Data Inconsistencies in Tokenized Assets
The initiative is designed to resolve data inconsistencies that have emerged as traditional financial instruments migrate to blockchain infrastructure. In many tokenized ecosystems, firms may depend on different sources for pricing data, reference information, or security identifiers. This fragmentation can increase the risk of mismatches, reconciliation challenges, and operational inefficiencies, particularly in institutional settings where accuracy and consistency are critical.
By embedding licensed data directly into blockchain environments, Bloomberg and Kaiko aim to create a shared source of truth for market participants. The companies have indicated that this approach could help reduce disputes related to data reconciliation while improving confidence in valuations and transaction records across tokenized markets.
Initial Focus on Tokenized Treasuries and Repos
The first applications of the licensed on-chain data will concentrate on tokenized U.S. Treasuries and repurchase agreement markets operating on the Canton Network. Canton Network is designed specifically for institutional financial use cases, making it a suitable environment for regulated entities testing blockchain-based versions of familiar instruments.
The integration is primarily targeted at traditional banks, asset managers, and other regulated financial institutions that are exploring blockchain as an alternative infrastructure for issuing, trading, and settling conventional financial products. For these institutions, access to reliable and standardized data is viewed as a prerequisite for broader adoption.
Reliable Data as a Foundation for Digital Markets
Kaiko’s leadership has emphasized that the partnership expands the availability of market data traditionally used in established financial markets and adapts it for emerging tokenized securities infrastructure. This perspective reflects a broader industry concern around data reliability in digital asset markets, where participants rely on more than just price feeds. Sentiment indicators, reference data, and multiple complementary datasets are often required to make informed decisions.
However, information from different issuers and data providers frequently diverges, creating uncertainty and the potential for inaccurate valuations. Similar issues have been observed in tokenized asset markets, where some industry aggregators have suggested that reported market sizes may be overstated by a significant margin due to inconsistent data methodologies.
Creating a Unified Dataset for Institutions
By offering a shared, licensed dataset embedded within blockchain systems, Bloomberg and Kaiko are seeking to establish a more unified data layer for tokenized markets. This approach is expected to support improved data integrity, reduce operational friction, and enhance trust among institutional participants. For banks and asset managers evaluating blockchain-based finance, such consistency could play a key role in scaling adoption beyond pilot programs.
As tokenization efforts continue to expand across asset classes, the partnership underscores the importance of aligning blockchain innovation with the data standards that underpin traditional finance. By bridging these two worlds, Bloomberg and Kaiko are positioning themselves at the center of efforts to make tokenized financial markets more transparent, efficient, and institution-ready.
