Kita

Kita is an AI-native underwriting platform for lenders that extracts borrower documents, follows up for missing materials, and drafts cited credit memos.

AI Document Extraction

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AI underwriting platform for lenders

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.

Core capabilities

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.

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.

Where teams use Kita

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.

Pros and Cons

Pros

Combines document extraction, borrower follow-up, and memo drafting in one workflow.
Supports a continuous underwriting process instead of requiring every document before assessment begins.
Offers API access with authentication, scopes, idempotent intake, and polling-based document and memo workflows.
Provides deployment and control options for regulated teams, including region pinning, SSO/SAML, and VPC or on-prem deployment in Enterprise.
Covers multiple lending contexts and geographies, including the Philippines, Indonesia, Mexico, South Africa, and the United States.

Cons

The source material does not provide full public detail on every integration, so some connectors appear to be available only on request or in higher tiers.
Several security and compliance capabilities are listed as in progress, including SOC 2 Type II and ISO 27001, rather than fully complete in the public material.

FAQ

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.

Quick Facts

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