Kita turns borrower docs into risk signals

This is the kind of narrow, vertical AI product that makes more sense than another generic “AI for finance” wrapper. Kita is attacking a stubborn operational bottleneck where document quality, fraud risk, and missing infrastructure all collide.

• –The strongest part of the pitch is market fit: emerging-market lenders often do not have clean API access to borrower data, so document intelligence is infrastructure, not a convenience feature.
• –Beating legacy OCR is table stakes; the more important claim is turning extraction into decision-ready signals with fraud checks lenders can actually trust.
• –If Kita can tie document patterns to repayment outcomes over time, it could build a defensible underwriting data layer rather than staying a one-off parsing tool.