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In emerging markets like the Philippines, open finance is still nascent. Most of the population is traditionally unbanked, banking APIs don’t exist, and a borrower’s financial history lives in documents: e-wallet records, bank statements, utility bills, and more. Because this data is unstructured, credit and risk teams are forced into manual review. This slows decisioning, increases costs, and caps lending volume. Legacy OCR solutions break on noisy, real-world files and still require human verification.
Kita is the first document intelligence platform built specifically for lending. We are hyperlocalized around the signals that actually drive lending outcomes in emerging and undertapped domestic markets like the Philippines, Indonesia, Mexico, and beyond. Using a layered system led by vision-language models and computer vision, we outperform traditional OCR by transforming messy borrower documents into fraud-checked, decision-ready signals lenders can use directly in underwriting.
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