Rewriting the rules of ABL.

Private lenders advance billions against collateral they never see. The borrower writes the monthly numbers, the field exam samples a slice once a year, and between exams the book is taken on trust. When a book lies, the loss is catastrophic — Tricolor, First Brands, billions that were never there.

Over time, the industry learned to call that monitoring.
We started Burry because trusting isn’t checking.

The name says the method. The investor who caught the great mortgage fraud wasn’t a regulator or a rating agency — he sat down and read the loan tapes, row by row, methodically, until the story fell apart. Everyone else trusted the system, and trust was exactly what made it easy to game. That deep read still doesn’t exist in most of lending. Until now.

Burry takes the messy reporting a borrower sends — certificates, agings, ledgers, bank statements, any format — and turns it into one structured, verified book. AI agents do the reading, every row, every cycle, in minutes; every finding is double-checked and arrives with the receipts behind it.

Then Burry connects the dots the way no sampled exam can: names resolve across subsidiaries and affiliates, balances tie across documents, months, and years. A lie has to hold together everywhere, every cycle — Burry checks that it does. We never claim fraud: we show what doesn’t add up, and the lender decides what it means.

The job is simple: make sure somebody actually checked the collateral.