Kita Capture
Every document. Every number. Every fraud signal.
In seconds.
Capture leverages vision language models to pull the richest credit data from any document, regardless of format or submission type. Optimized for the most complex, local documents across every market we serve, built for the realities of lending on the ground.
Built to parse documents the way an underwriter does.
A multi-pass pipeline. Layout models break the document down, vision language models read it in context, and an agentic pass reviews the result. Fraud checks run alongside, not after.
Layout models break the document down visually: regions, tables, stamps, handwriting.
A second pass reviews the output and corrects its own mistakes, like a human editor.
Vision language models read each region in context, linking labels to values and following the story across pages.
Metadata, pixel-level edits, and forgery patterns, calibrated to each market.
The most accurate document AI ever benchmarked.
We tested Kita against frontier LLMs and document-AI vendors on 62 real bank statements from the markets we serve, scored on the signals lenders actually underwrite on.
99.3%97.6%Hand-graded on the credit signals lenders underwrite on, across 62 real bank statements.
62 statements · hand-graded · sept 2026Catch the signals buried in every document
Capture reads every pixel, layer, and byte of metadata, then returns the risk signals underwriters act on, plus the tampering and contradictions no human reviewer can see.
Cash-flow stability, income, and affordability, scored straight from the document, not just the raw fields.
Tampering, metadata edits, and forgery patterns, calibrated to each market.
Contradictions caught across the file: restated income, mismatched IDs.
Score thin-file borrowers in real time.
The bureau returns little or nothing, but borrowers still submit documents. Capture reads them and lands 500+ signals in your risk model, so you approve good borrowers in real time.
Gini measures how sharply a model separates borrowers who repay from those who default. A +7.0-point lift means more good borrowers approved and more defaults caught, at the same approval rate.
Blurry photos, crumpled scans, screenshots, clean PDFs. Kita reads 50+ document types at any quality, no templates or pre-configuration.
Ship it your way.
Python SDK
Install, authenticate, and start processing in under 10 lines. Type hints and async support included.
REST API
Language-agnostic HTTP endpoints with webhook callbacks. Output in JSON, CSV, Excel, or custom.
Web portal
No-code portal to upload documents, review extractions, and export results. No engineering required.