There is no Visa for wholesale trade.
Every year, $55 trillion in goods moves from distributors and manufacturers to the businesses that depend on them: restaurants, hospitals, construction sites, auto shops and thousands of other types of businesses of all sizes.
This is a market three times the size of retail, yet it runs on phone calls, emailed invoices, WhatsApp messages. Vendors ship first and get paid later, taking on credit risk and serving as de facto lenders to their buyers — but with handshake credit agreements to establish credit limits and net terms.
In the U.S., this trade credit equals 24% of GDP.
Terms are often established based on incomplete and stale information, collections are manual and buyer defaults are common. Over $500 billion a year in measurable waste: processing, bad debt, labor, software — roughly 1% of every wholesale dollar, lost to friction.
Retail solved this fifty years ago.
Card networks like Visa removed the need for billing labor and transferred credit risk off merchants. This risk transference is enabled by consumer credit bureaus that aggregate and score consumer credit risk and let issuers underwrite in real-time at scale using machine learning powered risk engines.
Wholesale trade has no equivalent.
No shared network. No common credit bureau. No standardized rails. Just 1,000+ siloed ERPs — often on-prem and decades old — that lie beneath every supply chain on earth.
We are building a modern financial network for wholesale trade:
- Read/write ERP integrations as the foundation
- A two-sided network connecting vendor AR to buyer AP
- A real-time trade credit bureau fed by live transaction data.
Risk only leaves a vendor's balance sheet when credit policy is enforced consistently across thousands of accounts. Reasoning LLMs enable this for the first time — not as chatbots, but as policy compilers inside the network.
If you'd like to learn more, take a look at our Library.
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