About
Kita is a document intelligence platform specifically designed for lenders in emerging markets. It transforms messy borrower documents—including photos, scans, and handwritten records—into fraud-checked, structured, and decision-ready risk signals. The platform features two core products: Kita Credit Agent, which automates document collection and borrower follow-ups via WhatsApp and email, and Kita Capture, which uses vision AI to extract data and detect fraud patterns unique to local markets. Kita is built to handle the reality of emerging markets where standard OCR often fails, supporting over 50 document types with high accuracy and fast processing times.
Details
Kita is a document intelligence platform specifically designed for lenders in emerging markets. It transforms messy borrower documents—including photos, scans, and handwritten records—into fraud-checked, structured, and decision-ready risk signals. The platform features two core products: Kita Credit Agent, which automates document collection and borrower follow-ups via WhatsApp and email, and Kita Capture, which uses vision AI to extract data and detect fraud patterns unique to local markets. Kita is built to handle the reality of emerging markets where standard OCR often fails, supporting over 50 document types with high accuracy and fast processing times.
## How to Use
Lenders can integrate Kita into their existing Loan Origination System (LOS) via API or use the white-label Web UI. Borrowers submit documents through WhatsApp, email, or a web portal. Kita Credit Agent handles necessary follow-ups for missing information, while Kita Capture extracts data into structured formats like JSON, Excel, or CSV for final credit decisions.
## Key Features
- Vision AI for processing handwritten, blurry, or low-quality documents
- Kita Credit Agent for automated borrower engagement via WhatsApp and email
- Kita Capture for document-level fraud detection and data extraction
- Support for 50+ document types (Bank statements, E-wallets, IDs, etc.)
- Structured intelligence output in JSON, Excel, or CSV
- 98% accuracy with processing times under 30 seconds per document
## Use Cases
- Automating bank statement analysis for SME lending
- Verifying government IDs and utility bills in Southeast Asia or Latin America
- Reducing loan turnaround times by replacing manual document review
- Detecting localized fraud patterns in financial documents
