Evolution AI records 7,720 monthly visits with +24.9% month-over-month growth and Paid pricing. Kita records 0 monthly visits with -100% growth and Contact for Pricing pricing.
AI data extraction from PDF financial statements and complex documents.
Underwrite borrowers anywhere in the world in minutes with an AI-native lending stack
| Dimension / Metric | | |
|---|---|---|
| Official Domain | evolution.ai | usekita.com |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 7.72K (7,720) | 0 (0) |
| MoM Traffic Delta | +1.54K (+24.9%) | -126 (-100%) |
| Primary Market & Share | 🇺🇸 United States (58.2%) | 🌐 Global (—) |
| Direct Visits / mo | 3.03K | 0 |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
AI data extraction from PDF financial statements and complex documents.
Pull structured figures out of balance sheets, income statements and cash flow statements with accounting-grade accuracy.
Capture data from bank statements, invoices, contracts, trade finance documents and identity documents like passports and driving licences.
Point-and-click to define the data points you want; no rule writing or coding required.
Users correct errors and the system learns, so accuracy improves on your specific document styles over time.
Underwrite borrowers anywhere in the world in minutes with an AI-native lending stack
Reads the entire borrower file — from tax returns to photographed ledgers — plus bank and external data, spreads the financials against your credit policy and drafts a memo where every number links to its source page.
Vision-language extraction that handles crumpled payslips, e-wallet screenshots and scanned statements, then checks the document itself for edits, forgery and figures that don't reconcile.
Produces a credit signal for thin-file borrowers with no bureau history by scoring repayment risk from hundreds of document signals, designed to feed an existing model as one more input.
Contacts each borrower over WhatsApp, SMS or email in their own language, requests the exact documents a loan needs and follows up until the file is complete, cutting drop-off.
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