Elimentary puts AI agents on private credit’s monthly paperwork

Elimentary wants the monthly paperwork behind private credit funds to become an AI workflow, while leaving the final approval with people. The startup’s agents organize loan files, compare financial records and prepare reports, tackling the operational work that continues long after a fund has agreed to lend money.

The clearest example comes from a partnership with financial-services provider TresVista. In a company announcement, Elimentary says its software completed more than 500 checks for a quarterly filing reconciliation involving a U.S.-listed business development company. A process that had consumed about 20 hours of analyst and reviewer time took under 30 minutes to run, followed by another hour for manual sign-off.

That final hour matters. The reported improvement concerns preparation and checking work, with reviewers still responsible for approval. It provides a more useful picture of the product than an unqualified promise to automate a finance department.

Elimentary’s launch announcement describes a familiar monthly handoff: borrowers, loan servicers and fund administrators send files and statements, and analysts have to make the information agree. They also need to check contractual conditions, identify potential breaches and assemble reports for investors and other stakeholders.

The software divides those jobs among coordinated agents. One turns inconsistent loan records into structured tables. Another examines the conditions in lending agreements. Reconciliation agents compare balances and transactions, and reporting agents assemble the resulting material for review. In the fund-reconciliation example, the finance team receives a prepared comparison of bank and administrator records rather than starting with separate files.

Watch Elimentary’s original product demonstration.

The company’s broader product offering also covers borrowing-base calculations, payment waterfalls and portfolio monitoring. These are specific credit workflows: determining which assets support borrowing, applying agreed payment priorities and checking how loans are performing. Elimentary describes maintaining logs of extractions, calculations and automated decisions so that users can trace the output back through the process.

The underlying challenge is shared information moving through different organizations. A loan pool may be interpreted and entered again by a fund, an originator and a servicer. Elimentary is trying to reduce that repeated handling while working above customers’ existing systems, according to its company overview. Whether a result can be checked is as important here as how quickly it arrives.

The New York company is part of Y Combinator’s Fall 2026 batch. CEO Yogesh Gorjilla previously worked at UBS, Goldman Sachs and Flipkart. CTO Mannat Saini brings engineering experience from Goldman Sachs, Jefferies, Oracle and Flipkart, while COO Manoj Sarda previously co-founded debt-collection voice AI company Skit.ai and led product at Jupiter.Money.

Elimentary says the TresVista arrangement is a multiyear effort spanning fund reporting and operations, with initial agents already in use. Its published timing figures remain company-reported results from a particular deployment, not a guarantee for every fund. The practical proposition is nevertheless concrete: move the repetitive cross-checking into software, and give the people who sign the filing a smaller, more traceable body of work to review.