Ondo partners with BlackRock to develop tokenized Intelligent Portfolios

RWA Signal Insight
InfrastructureOndo Finance and BlackRock are collaborating to launch seven tokenized model portfolios on September 24, 2026, specifically for non-US investors. These portfolios, categorized into high-income, diversified growth, and high-growth themes, represent baskets of traditional assets including stocks, bonds, and Bitcoin ETFs. By tokenizing these baskets, the initiative allows investors to hold positions on-chain, enabling 24/7 trading, instant settlement, and the ability to use tokens as collateral for borrowing. This development marks a significant evolution from single-security tokenization, such as the previous efforts involving BlackRock’s IVV ETF and Micron Technology shares. The system automates the purchase of underlying ETF shares while providing investors with a productive digital token. With BlackRock’s model portfolio business managing $9.8 trillion in assets as of June 2026, this partnership signals a major shift toward integrating mainstream asset management with blockchain infrastructure. The project highlights the technical complexity of managing on-chain rebalancing and multi-asset tracking, while also navigating the current regulatory landscape that restricts these offerings to non-US participants.
Key points
- Seven tokenized model portfolios launch September 24, 2026, for non-US investors.
- Portfolios include stocks, bonds, and Bitcoin ETFs managed on-chain for 24/7 liquidity.
- BlackRock’s model portfolio business reached $9.8 trillion in AUM by June 2026.
- Ondo Finance previously stress-tested infrastructure by tokenizing IVV and Micron Technology shares.
Background
Ondo Finance is a tokenization platform that bridges traditional financial assets with blockchain technology, allowing investors to access institutional-grade products on-chain. BlackRock is the world's largest asset manager, providing a vast array of investment products, including model portfolios that offer diversified asset allocation strategies for various risk profiles.