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Bloomberg and Kaiko Strike a Deal to Bring Institutional Data On-Chain for Tokenized Markets

13h05 ▪ 3 min read ▪ by Ifeoluwa O.
Getting informed Tokenization
Summarize this article with:

Accurate and reliable data is essential in tokenized markets, where investors and institutions increasingly demand transparency and precision. To address this, Bloomberg and Kaiko have partnered to make Bloomberg’s licensed Data License products accessible directly on-chain through Kaiko’s technical platform.

Teams tug rope on stormy bridge as tokenized blocks ignite, forming a glowing on-chain chain at dusk.

In Brief

  • Bloomberg and Kaiko are enabling institutional market data to be used directly on blockchain networks, bringing traditional finance information into tokenized markets.
  • The project initially focuses on tokenized U.S. Treasuries and repurchase agreements on the Canton Network, with plans to expand to other asset classes over time.
  • This integration is designed to boost automation, minimize manual processing, and strengthen operational reliability across tokenized financial workflows.

Addressing Structural Gaps in Tokenized Markets

In their official announcement, both companies made clear that the objective is to address structural weaknesses that still affect tokenized markets.

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

With a unified and verifiable data point, institutions can streamline settlement processes and reduce disputes linked to mismatched feeds. The integration is also expected to encourage higher levels of automation across digital transactions, limiting manual intervention and improving operational reliability in tokenized finance.

Initial Focus on U.S. Treasuries and Repo Markets

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

Ambre Soubiran, Chief Executive Officer of Kaiko, described the initiative of putting institutional-grade information directly on-chain as a major shift in financial market operations. He added that “collaborating with Bloomberg will extend the availability of market data used in traditional markets to now support the next generation of tokenized securities infrastructure.”

Building Trusted Data Foundations for Tokenized Markets

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

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

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Ifeoluwa O. avatar
Ifeoluwa O.

Ifeoluwa specializes in Web3 writing and marketing, with over 5 years of experience creating insightful and strategic content. Beyond this, he trades crypto and is skilled at conducting technical, fundamental, and on-chain analyses.

DISCLAIMER

The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.