Trade finance, with continuous counterparty visibility

Obligor concentration builds silently. A single buyer can become the dominant credit exposure across dozens of invoices. Without portfolio-level look-through the concentration is invisible until something fails.

Dilution erodes yield. Credit notes, disputes and short payments are the silent drag on advertised yield. They need to be tracked per obligor and per programme.

Velocity hides risk. High turnover masks build-up of stretched payment terms, deteriorating credit quality and concentration breaches.

Recoveries need structured workflow. When a receivable fails, the path from dispute to collection to write-off needs structured tracking and lessons-learned that flow back to underwriting.

Trade Finance carries 6 sub-asset overlays in the Reuben AI rubric registry: Import and export finance, Supply chain finance, Purchase order finance, Commodity trade finance, Receivables discounting and Reverse factoring. Those overlays are part of the 314 sub-asset overlays the platform maintains across 56 of its 68 native asset classes.

An overlay never reweights the parent rubric. It adds the extra scoring criteria, risk flags, document types and key term fields that only apply to that slice, so a import and export finance deal and a reverse factoring deal are both scored on the shared trade Finance rubric while each is still asked the questions specific to its structure. That is what keeps deals inside one asset class comparable to each other and to the rest of the portfolio.

Selecting an overlay at intake changes what the platform expects: the document checklist, the extraction schema for key terms, and the flags raised when a term sits outside the range the rest of your trade Finance book has accepted. Nothing is retrofitted later by hand.

Every trade Finance opportunity that moves through Reuben AI leaves a structured record rather than a folder of documents and a memo. The rubric score is stored with the criteria that produced it, each extracted key term is stored with the clause and page it came from, and every flag is stored with the reason it fired and who cleared it.

The practical effect is that the investment committee paper, the LP report line and the audit trail are all reading the same underlying record. When an LP asks in year three why a trade Finance position was underwritten the way it was, the answer is retrieved, not reconstructed.

Trade Finance sits as a core allocation for Private Credit mandates, and is adjacent or opportunistic for 3 of the other fund types the platform serves.

That matters operationally because most funds do not hold trade Finance alone. The moment a portfolio spans more than one asset class, comparability becomes the constraint: a position scored on a bespoke trade Finance spreadsheet cannot be ranked against a position scored somewhere else. Running trade Finance on the same rubric engine as the rest of the book removes that break.

Reporting inherits the same property. Portfolio monitoring, valuation cadence, capital account movement and LP reporting all draw from the single stored record, so a trade Finance position appears in the quarterly pack on the same basis as every other holding, with the same evidence behind it.