Greyhound
Team consisting of a Schroders systematic credit portfolio manager and a JPMorgan ABS product controller, specializing in structured finance, SME lending, and collateral-intelligence dashboards.
Project Description
Greyhound is Collateral Intelligence for Hard-Tech Assets.
Hard-asset ABS is the fastest-growing corner of structured finance and yet lenders monitor their collateral through quarterly PDFs that are stale the day they’re published. By the time a covenant breach surfaces, the cash is already gone.
Greyhound turns a static deal document into a live risk terminal. Drop in a loan indenture, Greyhound’s AI parses the structure, extracts the capital stack and identifies every covenant automatically. From that point, operational data from the financed asset feeds a continuous simulation: coverage ratios, payment waterfalls and tranche valuations update in real time, with early-warning triggers firing before breaches occur.
Built for data centers and GPU infrastructure today, the engine extends to any hard-tech collateral (ie. solar farms, wind fleets, autonomous vehicles) wherever physical asset performance drives the revenue stream backing the loan.
Team
Products & Tools
Additional Links
Pitch Deck (find it in the git repo named Greyhound-Pitch.html, you'll have to download it to view it)