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Trad.Fi and W3 Aim to Put $650M in Private Credit Onchain With AI Scoring

Trad.Fi and W3 Aim to Put $650M in Private Credit Onchain With AI Scoring

Trad.Fi, an equipment-financing lender, and W3, a blockchain infrastructure firm, are targeting $650 million in onchain private credit. The partnership will use artificial intelligence to evaluate credit for real-economy business loans — and shift the whole workflow onto a public blockchain. The move puts a relatively traditional lending operation onto decentralized rails, aiming to automate capital flows from origination through repayment.

Who's doing what

Trad.Fi originates loans for equipment purchases — think construction machinery, manufacturing gear, medical devices. W3 provides the blockchain layer. Together they're building a system where each loan gets tokenized, credit decisions run through an AI model, and the entire lifecycle lives onchain. The $650 million figure is their stated total target for originations through the partnership. Neither side has said how quickly they expect to hit that number.

AI in the credit box

The AI piece isn't a gimmick. Trad.Fi is using machine learning to assess borrower risk in ways that go beyond traditional credit scores — analyzing cash flow, equipment utilization, even supply chain data. That evaluation then feeds directly into the smart contract logic that decides loan terms and triggers payouts. W3 handles the infrastructure to make that data transparent and immutable. The companies say this should reduce friction for small and mid-size businesses that often struggle to get financing from banks.

Private credit is a massive market — trillions of dollars globally — but most of it still runs on spreadsheets, PDFs, and manual wire transfers. Putting it onchain has been a goal for years, but adoption has been slow because borrowers and lenders don't want to lift their entire workflow. Trad.Fi and W3 are trying to change that by automating the handoffs. The equipment-financing angle is practical: assets are tangible, repayment terms are predictable, and the collateral can be tokenized. That makes it a natural fit for public blockchain infrastructure.

The partnership is live and originating loans. Trad.Fi says it will start migrating existing portfolios onchain in the coming weeks, with new originations running fully on the W3 platform. The $650 million target doesn't have a hard deadline. How fast they get there depends on how quickly real-economy borrowers trust a blockchain-based credit line — and whether the AI models hold up under actual market stress.