Launch HN: Kita (YC W26) – Automate credit review in emerging markets

Hey HN! We’re Carmel and Rhea, the founders of Kita ( https://www.usekita.com/ ). We automate credit review for lenders in emerging markets using VLMs. In many emerging markets, like the Philippines and Mexico, credit infrastructure is weak. Open finance is still nascent, and credit bureaus are unreliable. So to apply for a loan, lenders rely on borrowers submitting documentation to understand their ability to repay. A borrower can submit financial documents, such as bank statements and payslips, in any format, from pdfs, images of physical documents and screenshots. On top of that, financial documents in these markets are highly unstandardized, with no consistent templates lenders can rely on. Existing OCR and document AI tools break on these highly variant, messy real-world documents. Generic tools are not built for lending workflows like verification, fraud detection, and risk extraction. As a result, credit teams fall back on manual review, making underwriting slower, more expensive, and more error-prone. We met before college and stayed best friends. After graduating, Rhea visited Carmel in the Philippines, where we heard firsthand from fintech operators that document-based underwriting was their biggest pain point. We started building together and tested every OCR and document AI tool we could find. They all failed on the messy real-world documents lenders actually receive, and even when extraction worked, they still could not produce the structured financial data or fraud checks lenders needed. The problem was even bigger than we thought. Across Indonesia, Mexico, the Philippines, South Africa, and even in the US, most of lending can be boiled down to credit analysts looking at documents. In 2025, 13.3T was lended globally, and 90% of those transactions involved document review. This includes in developed markets. Kita uses VLM-based agents to parse documents, detect fraud, and extract underwriting signals from messy financial files. Today, we support 50+ doc

原文链接: HackerNews