Trusted market data expands with Bloomberg and Kaiko

Trusted market data expands with Bloomberg and Kaiko

News Blog


13:05 ▪
3
min read ▪ by
Ifeoluwa O.

Summarize this article using:

Accurate and reliable data is essential in tokenized markets, where transparency and accuracy are increasingly demanded by investors and institutions. To address this issue, Bloomberg and Kaiko have partnered to make Bloomberg’s technical Data License licensed products available on-chain through the Kaiko platform.

Teams tug on a rope on a stormy bridge as tokenized blocks ignite to form a glowing chain upon chain at dusk.

In short

  • Bloomberg and Kaiko enable direct use of institutional market data on blockchain networks, bringing traditional financial information to tokenized markets.
  • The project is initially focused on tokenized US Treasuries and repurchase agreements on the Canton Network, with plans to expand to other asset classes over time.
  • This integration is designed to enhance automation, minimize manual processing and strengthen operational reliability across tokenized financial workflows.

Addressing structural gaps in tokenized markets

In their official statement, both companies made it clear that the goal is to address the announcement of structural weaknesses that continue to affect tokenized markets.

Many of today’s operational problems often result from inconsistent data sources, delayed synchronization, and fragmented processing frameworks. These weaknesses not only complicate transactions, but also increase reconciliation costs and create avoidable uncertainty. By enabling Bloomberg data to be fed directly into tokenized on-chain workflows, the initiative aims to provide market participants with a single, authoritative reference source.

With a single, verifiable data point, institutions can streamline settlement processes and reduce resource mismatch disputes. The integration is also expected to support a higher level of automation across digital transactions, reduce manual intervention and improve the operational reliability of tokenized finance.

Initial focus on US bond and repo markets

The first phase of the project will focus on tokenized US Treasury instruments and repurchase agreements on the Canton Network, a blockchain built for institutional finance that prioritizes privacy and interoperability. While the initial rollout focuses on these fixed income products, the framework is designed to scale. As market demand grows and client needs evolve, it can expand to other asset classes, use cases and broader market communities.

Ambre Soubiran, CEO of Kaiko, described the initiative to bring institutional-level information directly into the chain as a major shift in financial market operations. He added to that “Collaboration with Bloomberg will expand the availability of market data used in traditional markets to now support the next generation of tokenized securities infrastructure.”

Building trusted data bases for tokenized markets

This initiative also fits into Kaiko’s broader strategy in regulated digital asset data services. In 2024, the company acquired Vinter, strengthening its benchmark and index solutions capabilities across Europe. The acquisition strengthens Kaiko’s position as a provider of regulated reference data, an area that is becoming increasingly important as digital assets intersect with traditional finance.

Current numbers from RWA.xyz show that the real asset tokenized market, excluding stablecoins, is roughly $25 billion. As this segment grows, initiatives that anchor tokenized products to trusted and verifiable data sources are likely to play a defining role in shaping the next phase of capital markets in the chain.

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Ifeoluwa O. avatarIfeoluwa O. avatar

Ifeoluwa O.

Ifeoluwa specializes in Web3 writing and marketing and has over 5 years of experience creating insightful and strategic content. In addition, he trades cryptocurrencies and is skilled in performing technical, fundamental and chain analysis.

DISCLAIMER OF LIABILITY

The views, thoughts and opinions expressed in this article are solely those of the author and should not be taken as investment advice. Before making any investment decision, do your own research.

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