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Real and iExec Join Forces to Advance Privacy-Centric Institutional Tokenization

Real has entered into a strategic memorandum of understanding with iExec to develop a robust, privacy-focused infrastructure for the tokenization of real-world assets (RWA). As institutional interest in on-chain financial products grows, the partnership aims to address the critical need for confidentiality, regulatory compliance, and auditability within the blockchain ecosystem.

The collaboration will leverage iExec’s expertise in confidential computing, specifically utilizing Trusted Execution Environments like Intel TDX and the Nox Protocol. By integrating these technologies with Real’s Layer 1 blockchain, the companies intend to facilitate secure, encrypted transaction flows. This infrastructure is designed to support sensitive financial activities, including asset issuance, lending, dividend payments, and structured credit, without compromising the privacy of institutional participants.

Beyond basic transaction security, the initiative will explore advanced tools for selective disclosure, allowing for necessary oversight by regulators and auditors while maintaining data integrity. The companies plan to evaluate how these confidential assets can remain fully interoperable with existing custody solutions and secondary market systems.

According to Real CEO Ivo Grigorov, the move is a vital step in evolving real-world asset markets. By combining Real’s end-to-end asset management lifecycle with iExec’s verifiable computation capabilities, the partnership seeks to create a framework where institutions can operate on-chain with the same level of data protection they expect from traditional financial systems. The next phase of the collaboration will focus on technical architecture alignment and the identification of pilot opportunities for tokenized funds and private credit.

AI Disclosure: This article is based on verified data and official reports. Our AI have cross-referenced every financial detail with primary sources to ensure total accuracy.