The Onchain Financing Gap Between $10K and $100K
Street-level equipment has been financed in TradFi for decades. The cash flow it produces has almost no path onchain. That gap, not a financing shortage, is the opportunity.
It is tempting to say that nobody finances a $40,000 bank of laundry machines. It would also be wrong. Small-ticket equipment finance is one of the oldest and largest businesses in lending, and it serves exactly this band. The gap is not that these machines cannot be financed. It is that the cash flow they produce has almost no way to reach an onchain allocator.
Where the financing already is
Equipment finance is roughly a $1.3 trillion industry, and small-ticket transactions, those under $250,000, make up close to a third of it. The trade even has standard names for the band: micro-ticket up to $25,000, small-ticket from there to $250,000. A laundromat owner buying machines has SBA loans, equipment loans, leases, vendor financing from the manufacturer, and lenders who do nothing but finance laundry equipment. The asset is not stranded. It is well-served, by an industry built to serve it.
So a pitch that opens with "nobody finances this" starts from a false premise, and an allocator who knows the equipment-finance world will say so. The honest version is the opposite. The financing is everywhere. The access is not.
Where it isn't
Onchain, the picture inverts. Tokenized private credit is the most active category of onchain lending by volume, around $19 billion, and almost all of it sits upmarket. It carries the model it imported from traditional finance: institutional borrowers, accredited-investor pools, large facilities underwritten one at a time. The largest platforms run books in the hundreds of millions, lending to funds and companies, not to the operator of a single laundromat. So the street-level cash flow TradFi has financed for decades is missing from onchain markets, and the absence is structural rather than accidental.
Why onchain skipped it
The reason is the one that shapes TradFi, applied one layer up. Underwriting a deal by hand costs roughly the same whether it is $20,000 or $20,000,000, so a model built on human diligence chases large tickets to cover its cost. Onchain credit did not rebuild the specialized small-ticket machinery TradFi spent decades on. It took the institutional large-ticket model and tokenized it, which is why onchain reaches the fund and not the laundromat.
Closing the gap is not a matter of more capital. It is a matter of underwriting that does not cost a fixed slab of human time per asset. Run diligence on telemetry, with cycle counts, uptime, and revenue measured continuously and gated by a rules-based standard, and the cost per asset collapses. A $20,000 ticket carries itself, and a thousand of them is a more granular book than a handful of large facilities, with no single asset deciding the outcome.
The risk tokenization can't remove
This is not a hypothetical. Private credit is under live stress as this is written. Leveraged-loan defaults through late 2025, rising payment-in-kind toggles that let a borrower defer cash interest, and warnings from the IMF and the Financial Stability Board have put the asset class through what the market is calling its first real test. The headline default rate has sat below 2% for years, but once selective defaults and the liability-management exercises that postpone them are counted, estimates of the true rate run several times higher. The number looked fine until it did not, which is what a mark-to-model book does. It is valued by estimate rather than by a market price, so the loss is recognized late, when the estimate finally breaks.
Tokenizing that book changes none of it. The wrapper is not the source. Putting a private-credit position onchain moves where it trades, not what it is, and the borrower's ability to repay is exactly what it was offchain. In places the chain makes it sharper, because tokenized credit is now borrowed against, hundreds of millions in leverage stacked on positions whose underlying is already under strain. Tokenization does not dilute the risk; it ports it, and in places amplifies it.
Operational cash flow carries a different risk, and it surfaces in the open. The value is not modeled against an absent market. It is the revenue the machine produced last month, reconciled from telemetry, so there is no mark to drift and no toggle to defer a missed payment. Either the machine ran or it did not, and the cycle count says which. Underperformance shows in uptime weeks before it reaches the cash flow, which turns the thing a credit book discovers at default into something this model sees coming. When an operator fails, the resolution is reassignment rather than write-down, and the machine keeps earning under someone else. One model recognizes its loss when the estimate breaks. The other repairs the shortfall before it compounds.
What this actually opens
The opportunity, stated honestly, is access rather than rescue. DualMint is not banking operators who had no other option. It finances the equipment, takes the cash flow through leaseback and step-in rights, and aggregates many small positions into one onchain structure. The result is a path for an onchain allocator to hold a slice of street-level operating cash flow that was previously reachable only by owning the machines outright or lending through a specialist fund. The machine was always financeable. The yield was not, for this allocator, until it was packaged this way.
The moat is the pipeline
The structure that does this can be copied in weeks. The supply of assets to put in it cannot. Serving the band means relationships with operators across categories, the laundromat owners, the air-conditioning installers, the vertical-farm builders, built one at a time with site visits and performance history. A competitor can replicate the contract architecture and still have nothing to deploy it against. The origination network is the asset, and it is the part that does not copy.
The honest version
Three conditions bound this, and they should be named. Programmatic underwriting works only where telemetry exists and can be trusted, and not every small business is instrumented. The reassignment that protects a position depends on a bench of vetted backup operators deep enough to be credible per category, a network being built rather than assumed. And the aggregated vault is not yet live, so the record to date belongs to the marketplace rather than the pooled structure.
It is also why this piece quotes no headline market size. The equipment-finance industry is large, but its size is not DualMint's addressable market. The measure that matters is the depth of an origination pipeline that took years to build and would take years to copy.
Why it matters
At DualMint, that pipeline has originated more than 1,000 assets sold onchain, with a further $50M of operator supply ready to deploy, and the marketplace has produced twelve consecutive months of distributions across those assets on Arbitrum, Base, and Peaq with zero operator defaults.
Street-level equipment has never lacked for financing. What it has lacked is a way for onchain capital to own the cash flow without owning the machine. For an allocator sizing where onchain yield can come from next, the part of finance worth looking at is the one that already works at street level, sitting just out of reach of the chain.