Bloomberg is teaming up with Paris-based market data firm Kaiko to make Bloomberg’s licensed financial datasets accessible inside blockchain systems rather than only through traditional off-chain channels. Announced Thursday, the partnership aims to reduce inconsistencies across tokenized markets by providing a shared, licensed data source that can be embedded onchain.
Differences in price feeds, security identifiers and reference metadata have created reconciliation challenges and operational risk across tokenized ecosystems. By making a common dataset available onchain, the collaboration intends to ensure market participants cite the same authoritative information, cutting down disputes and improving data integrity.
The initial deployment will focus on tokenized U.S. Treasurys and repo markets on the Canton Network, a permissioned blockchain designed for institutional financial workflows. Kaiko introduced its data on‑ramp service in August; the Bloomberg integration is targeted at banks, asset managers and other regulated institutions exploring blockchain versions of traditional securities, rather than retail crypto users.
Questions about data reliability and the true scale of tokenized real‑world assets (RWA) have surfaced recently. Some industry voices suggest tokenized asset totals may be substantially smaller than headline figures. One estimate puts the tokenized RWA market excluding stablecoins at about $25 billion (RWA.xyz), and industry founders have warned aggregate numbers may overstate the market by a wide margin.
Why reliable data matters for tokenized securities
Kaiko CEO Ambre Soubiran said institutional‑quality data is a foundation for orderly markets and that the Bloomberg collaboration will extend the market data used in traditional finance to support next‑generation tokenized securities infrastructure. Kaiko has broadened its regulated data capabilities — including the 2024 acquisition of European crypto index provider Vinter — strengthening its benchmark and index services in Europe.
Reliable reference data and consistent pricing are particularly important for tokenized instruments tied to real‑world assets like Treasurys, where onchain representations must accurately reflect underlying securities. Market participants rely on price feeds, onchain analytics and reference datasets to maintain transparency and reduce operational friction; embedding licensed datasets directly onchain is intended to address those needs.
This initiative reflects broader efforts to professionalize tokenized markets for institutional use, prioritizing data provenance, standardization and regulatory compliance. Readers are encouraged to verify facts independently; the reporting outlet maintains editorial standards and transparency in its coverage.