Unifying Tokenized Capital: Sui and OpenAssets to Advance Open Standards for Onchain Finance through Linux Foundation Decentralized Trust
Sui and OpenAssets are collaborating to develop the Open Tokenized Asset Standard (OTAS) under the Linux Foundation Decentralized Trust to unify fragmented tokenized asset markets and enable interoperability across financial systems.
The Linux Foundation has long facilitated trusted governance for technologies like Linux and Kubernetes, and now aims to apply similar principles to tokenized assets. Institutions are increasingly issuing digital versions of securities and commodities, but these assets often remain isolated within separate systems, requiring costly custom work to connect. To address this, Sui and OpenAssets are co-developing OTAS, a new open standard hosted under Linux Foundation Decentralized Trust, designed to eliminate frictions between isolated systems and enable seamless transactions across financial networks.
OTAS will serve as a neutral, open-source framework governed as an LFDT lab, allowing institutions to represent, verify, and settle tokenized assets without being forced onto a single blockchain or technology stack. The standard focuses on standardizing asset identity, compliance rules, and audit history, enabling stakeholders to collaborate while retaining their preferred tech stacks. Sui’s object-centric Move architecture, high throughput, and instant finality position it as an optimal execution venue for compliance-heavy capital markets.
The collaboration builds on recent news from Hadron by Tether, which integrated Sui into its tokenization platform, providing institutions with compliant access to tokenize assets on the Sui network. Extending OTAS to Sui ensures compliance and ownership history remain portable, offering institutions a consistent view of assets across networks. OpenAssets and Sui emphasize the need for open, interoperable standards to support the next generation of digital capital markets.
OTAS is being developed as an open-source LFDT lab, inviting financial institutions, infrastructure providers, developers, and market participants to contribute to its ongoing development and reference implementations. The standard also supports the evolution of financial software, enabling autonomous AI agents to handle tasks like trade execution and settlement by providing machine-readable rules for asset risk and ownership evaluation.