The financial data layer for Southeast Asian lenders.

Kita converts bank and e-wallet documents into clean, fraud-checked lending signals your models can use instantly — with an upload SDK built for loan applications.

Y Combinator

Backed by Y Combinator

99%
Accuracy
<2s
Processing
15+
Sources
9:41

Kita capture

Upload documents

Android

Add documents

MA

maya_history.pdf

3.2MB

Ready
GC

gcash_screenshot.jpg

1.4MB

Ready
BP

BPI_statement.pdf

4.9MB

Ready

One upload SDK. Instant ingestion, OCR, structuring, and fraud checks.

Use Kita’s signals to approve more borrowers across the Philippines and Singapore.

One upload SDK

Embed a lightweight uploader or use our API; we orchestrate document ingestion end-to-end.

Instant ingestion

OCR tuned for low-resolution PDFs, screenshots, and receipts common across PH lenders.

Fraud checks

Detect template edits, metadata tampering, and identity mismatches before review queues see them.

Scale approvals

Deliver normalized JSON and risk heuristics so analysts focus on decisions—not cleanup.

The challenge

The Southeast Asia challenge

In the Philippines and Singapore, borrowers submit bank PDFs, e-wallet screenshots, remittance slips, and POS exports instead of API connections. Files are unstandardized, low quality, and time-consuming to trust.

Screenshots instead of APIs

Borrowers rely on GCash, Maya, and local banks but due to the lack of banking APIs, must provide photos, scans, and PDF exports with no standard formats or machine-readable data.

User friction and processing delays

Manual review is a bottleneck. Existing processors have clunky upload flows and long processing times causing borrower drop-off, directly reducing lender revenue.

Fraud slips through

Template edits and metadata tampering hide in inconsistent statement formats. Lenders need reliable verification to stay compliant and ensure borrowers can repay.

Incomplete visibility

Open finance is nascent. Lenders relying on telco, bureau, or app-usage data miss the transaction-level activity that reflects a borrower’s real financial behavior.

Our solution

Infrastructure for lenders

Kita manages the entire document ingestion flow—from borrower upload to decision-ready insights—so credit teams scale with accuracy, speed, and less fraud risk.

Structured JSON output

Consistent schema across bank, e-wallet, remittance, and POS sources.

Real-time processing

Seconds-level turnaround through webhooks, dashboard review, and audit trails.

Built-in verification

Tamper detection, metadata inspection, and identity cross-checks by default.

Input

Bank PDFs & passbooks
E-wallet screenshots (GCash, Maya)
Remittance & bills payment slips
POS / marketplace exports

Output

Standardized JSON
Fraud verdicts
Credit signals
Decision-ready insights
Data sources

Built for the Philippines

Kita ingests the messy financial artifacts borrowers already submit—so lenders see complete cash flow across bank, e-wallet, remittance, and merchant activity.

GCash

Screenshots, PDFs, CSV exports

Maya

Wallet, SME merchant, QR Ph flows

ShopeePay / GrabPay

Receipts & payout histories

Banks

BPI, BDO, OCBC, DBS, CIMB

Remittance

Cebuana, Palawan, Western Union

Pawnshops & microfinance

MLhuillier, RD Pawnshop, Esquire

Bills & utilities

Meralco, Globe, PLDT, Maynilad

POS & merchants

Lazada, Shopee, Shopify, QR Ph

How it works

Simple workflow

Everything from ingestion to insight is automated, so teams focus on decisions—not cleanup.

Borrowers upload

Embed Kita’s SDK so applicants submit PDFs, screenshots, and exports seamlessly within your loan application flow.

OCR & parsing

Kita cleans low-quality images, runs OCR, and extracts transactions across banks, e-wallets, and POS data.

Normalization & fraud checks

We standardize fields, detect tampering, cross-check identities, and flag anomalies before analysts review.

Decision-ready output

Structured JSON, credit insights, and risk heuristics post via webhook or dashboard in seconds.

Fraud detection

Built-in verification

Kita treats every document as untrusted until proven otherwise, giving risk teams early warning signals without adding manual checks.

Document flagged

Tampering detected

Metadata inconsistencies or timestamp edits
Template/layout mismatches vs. trusted samples
Pixel-level edits, copy-pasted rows, or font anomalies
Name/account mismatches compared to borrower info

Risk score: 87%

Document verified

Authentic and valid

Metadata and EXIF verified
Formatting and pagination authentic
Cross-source balances reconciled
Identity fields aligned with application data

Confidence score: 98%

Credit intelligence

Comprehensive credit signals

Decision-ready analytics tailored to consumer, BNPL, POS, and SME lenders in Southeast Asia.

Income & inflow estimation

Model recurring salary, remittance, and merchant credits across channels to size repayment capacity.

E-wallet & QR activity

Measure GCash/Maya usage, wallet top-ups, and QR Ph payments that never appear on bank rails.

Merchant & POS performance

Identify peak sales days, refund ratios, and settlement delays for SMEs and storefronts.

Remittance behavior

Monitor transfer consistency and counterparty networks to verify alternative income.

Cash balance stability

Track median balances, volatility, and burn to understand resilience between payouts.

Risk heuristics

Blend fraud signals, expense-to-income ratios, and repayment history to prioritize queues.

Why choose Kita

Why Kita

Infrastructure purpose-built for lenders approving borrowers with alternative payment data in the Philippines and broader Southeast Asia.

PH-first accuracy

Understands GCash, Maya, pawnshop, and remittance templates so low-quality uploads still parse correctly.

Regional coverage

Built for Southeast Asian lenders expanding from the Philippines to Singapore and beyond.

Decision-ready output

Delivers normalized JSON, fraud verdicts, and heuristics instead of raw OCR text.

Risk controls baked in

Every document passes tamper, metadata, and cross-source checks before your analysts see it.

Y Combinator W26 | Philippines

Trusted by lenders modernizing credit

Kita partners with digital lenders, banks, and fintechs across Southeast Asia to unlock alternative payment data for underwriting.

Who we serve

  • - Online lenders and BNPL providers
  • - Traditional banks building digital credit journeys
  • - SME & POS lenders
  • - Fintechs verifying income or capacity with alternative data

Why they choose Kita

  • - Unlock data that API aggregators cannot access
  • - Reduce fraud losses from doctored statements
  • - Approve more borrowers with faster SLAs
  • - Scale underwriting without scaling headcount

Ready to unlock alternative payment data?

Share your lending use case and see how Kita ingests borrower uploads, returns verified data, and accelerates approvals across the Philippines and Singapore.