An equipment-financing lender called Trad.Fi is teaming up with W3, a platform blending AI and programmable finance, to push up to $650 million in private credit onto the blockchain over the next 48 months. The deployment will run on Avalanche, targeting sectors like manufacturing, industrial electrical contracting, residential solar, and data centers.

W3’s programmable treasury infrastructure handles the onchain workflows, while its AI tools automate the heaviest parts of the lending process: risk assessment, due diligence, and loan pricing. On the underwriting side, Trad.Fi incorporates data from Plaid and traditional credit bureaus to evaluate borrowers.

Trad.Fi, a US-based lender established in 2024, offers lending pools for accredited investors backed by equipment loans. The collateral here is tangible, things like solar panels, manufacturing equipment, and data center hardware. W3’s infrastructure has received support from the Avalanche Foundation.

The promise of AI reducing approval times from months to a day sounds transformative, but the real proof will be whether those rapidly approved loans perform as well as their slower, human-reviewed counterparts over a full credit cycle. A lender founded in 2024 deploying $650 million in credit is moving fast, and automated risk scoring is only as good as the data feeding it. Data center hardware, in particular, could face repricing risk if the current AI infrastructure buildout hits a plateau.