structured-credit
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Mohit Gupta Left the Quant Track to Teach Credit Teams a New Trick
After four years building the machinery inside a credit fund, Mohit Gupta chose the messiest spreadsheet on the desk as his startup brief. Three YC applications later, Levocred arrived with customers already using it.
Kiran Kapur Built a Lender for the Deals That Need a Second Look
After decades inside large finance companies, Kiran Kapur made his first entrepreneurial bet on a neglected corner of the middle market. Ten years later, 36th Street Capital shows what can happen when a lender treats complexity as work to be understood, not a reason to walk away.
The $1 Billion Machine Behind the Machines
36th Street Capital turns forklifts, servers and factory floors into financial flexibility. Its quiet advantage is a hybrid funding engine built for deals that do not fit neatly inside a bank's credit box.
Tacora Capital Funds the Balance Sheet Behind the App
The Austin lender looks past the software pitch and into the pile of loans, contracts and policies underneath it. That focus has helped Tacora turn a quiet corner of venture finance into a roughly $1.4 billion platform.
The Private Equity Firm Betting That Public Problems Can Produce Private Returns
The Vistria Group has built a $17 billion investment platform around a provocative premise: the hardest systems to navigate may also hold the most durable opportunities to create value.
Levocred AI
Levocred AI is an AI-native operating system for structured credit teams. It ingests a fund's loan tape, credit agreements, servicer reports, and bank feeds, then automates the recurring analytical work that follows - borrowing base reports, real-time covenant monitoring, credit analysis and investment committee memos, lender packages, collections, and cash reconciliation. Founded in 2025 and backed by Y Combinator (S26), the company monitors more than $500M in capital across 10+ facilities in production.