Underwriting is still a mess of scattered documents and manual review, but Kita is betting that AI can clean it up. The startup has raised $4.5M in seed funding to help lenders turn fragmented borrower data into decision-ready credit analysis, with investors including BoxGroup, Y Combinator, and Golden Gate Ventures.
Kita, built out of Stanford AI, targets markets where borrowers often lack clean credit files or standardized financial records-places like the Philippines, Mexico, South Africa, and underserved U.S. communities. The pitch: keep final credit decisions with human teams while using AI to validate documents, flag inconsistencies, and surface the signals analysts actually need. The round also drew in US News Digital Ventures, Kaya Founders, and Genting Ventures, among others.













