Document capture and extraction
Kita Capture uses vision AI to read messy financial documents such as photos, scans, screenshots, tax returns, bank statements, and other borrower-provided files, then extracts structured data and risk signals.
Kita
Freemium
Kita è una piattaforma di underwriting nativa dell’IA che estrae i dati dei richiedenti, sollecita i documenti mancanti e redige memo creditizi citati, lasciando la decisione finale al finanziatore.
Cos'è Kita?
Kita is an AI-native underwriting platform for lenders that turns borrower documents into decision-ready files. Its website positions the product as a way to underwrite borrowers anywhere in the world in minutes while keeping the lender’s team in control of the final decision.
The product combines document extraction, borrower collection, and memo drafting into one workflow. Capture reads messy files, the AI Credit Officer follows up for missing documents, and the AI Underwriter generates a cited credit memo from the assembled evidence. The documentation shows the same flow is available through API endpoints for teams that want to push applications from an LOS or core-banking system.
Cosa può fare Kita?
Borrower follow-up automation
The AI Credit Officer communicates with borrowers over WhatsApp, SMS, or email in their preferred language until the file is complete, helping teams collect missing or incomplete materials.
Policy-based memo drafting
AI Underwriter analyzes the assembled file against the lender’s policy and drafts a decision-ready credit memo that the credit officer can approve, decline, or override.
API-first workflow
The platform exposes document parsing, extraction, and editing APIs, plus webhooks and a REST API for integrating with a lending stack or system of record.
Progressive assessment
The documentation describes a continuous workflow where each accepted document updates the assessment immediately, so teams do not need to wait for a perfect 100% complete file before underwriting starts.
Deployment and access controls
Enterprise options include customer-specific deployments, region pinning, SSO/SAML, and VPC or on-prem deployment for teams with stricter operational requirements.
Casi d'uso
“Underwriting borrower applications”
Loan officers and credit teams can push borrower files into Kita, monitor completeness, and review extracted figures before making a decision. The platform is designed to keep the final call with the lender while reducing manual file handling.
“Collecting incomplete files”
Teams dealing with missing or slow-to-return documents can use the AI Credit Officer to request materials over WhatsApp, SMS, or email until the file is complete. This is useful when borrower communication is a bottleneck in closing the file.
“Integrating into existing lending systems”
Lenders that already run an LOS, CRM, or core-banking system can use the API to send applications, poll assessment updates, and retrieve the cited memo. The documentation describes a single intake flow with document uploads and backoff-based polling.
“Operating in regulated environments”
Institutions that need stricter operational controls can use Enterprise deployment options such as VPC or on-prem deployment, data residency in active markets, and identity controls like SSO and SAML.
“Processing mixed-format financial documents”
Teams working in markets with nonstandard documents can use Kita Capture to read tax returns, bank statements, screenshots, and other mixed borrower files across supported regions and lending segments.
Domande frequenti
How does Kita fit into an underwriting workflow?
Kita is set up around a single intake flow: teams push a borrower application and its documents into the platform, then review the extraction, credit picture, and memo output as it updates. The API documentation says the process is continuous, so underwriting can begin before every document is present.
What does Kita produce after documents are uploaded?
The documentation says the platform outputs the extracted document data, a deterministic credit picture with provenance, and a cited credit memo. The product pages also show borrower file status, completeness, and memo drafts for credit officers to review.
What setup options and integrations are supported?
Kita recommends that lenders integrate it with their existing LOS, CRM, or core-banking stack. The pricing page says Growth includes webhook integrations and custom document types, while Enterprise adds VPC or on-prem deployment, region pinning, SSO and SAML, and dedicated solutions engineering.
How do credits and billing work?
The pricing page says one workspace maps to one credit balance, with Enterprise supporting sub-organizations. Credits roll over while the account is active, and auto-refill can be enabled; otherwise the API returns 402 when credits run out.
Where is Kita used?
Kita’s website shows active use in the Philippines, Indonesia, Mexico, South Africa, and the United States. The product pages highlight lending use cases in microfinance, SME and commercial lending, and CDFI or community lending.
Informazioni rapide
- Category
- AI underwriting platform
- Primary users
- Lenders, underwriters, and credit teams
- Core workflow
- Intake borrower files, extract document data, collect missing materials, and draft a credit memo
- APIs
- Document Parse API, Document Extract API, Document Edit API, Underwriter API v1
- Pricing shape
- Free Standard plan plus Growth and Enterprise with custom pricing
- Source domain
- usekita.com
Analisi del traffico di Kita
I dati sul traffico sono solo a scopo di riferimento.
- Domain Rating
- 15
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