Trad.Fi and W3 Aim to Tokenize $650 Million in Private Credit

Equipment-financing lender Trad.Fi announces plans to work with W3 to tokenize $650 million in private credit assets over the next four years. The initiative focuses on U.S. equipment financing in sectors such as manufacturing and residential solar, aiming to streamline loan processes using artificial intelligence (AI).

Trad.Fi intends to deploy these funds on the Avalanche blockchain, targeting traditionally paper-based financing methods. By integrating AI to evaluate risk, conduct due diligence, and price loans, Trad.Fi hopes to reduce the financing timeline for small and mid-sized businesses from several months to a single day.

Trad.Fi's CEO, Alexander Szul, emphasized the importance of efficiency, stating, "Small businesses lose deals waiting for financing, and the only way to fix that is to move the capital, the records and the workflow onto programmable rails. This is what private credit looks like when it finally meets the speed of the real economy."

The venture will initially fund equipment loans through offchain capital from traditional private credit lenders, setting the stage for a tokenized liquidity pool for onchain investors. This pool is expected to provide eligible investors with direct access to the equity generated by the private credit program.

The move towards tokenization of real-world assets (RWAs) is growing, with estimates suggesting it represents a $25 billion market, which could grow significantly by 2030. Trad.Fi's project illustrates a structural shift in institutional capital as it engages with digital asset infrastructures.

The long-term vision involves creating a fully programmable treasury where all capital flows natively through the Avalanche blockchain.