NewsKita raised $4.5M led by BoxGroup.Read more
Backed by Y Combinator

Underwrite borrowersanywhere in the world,in minutes.

AI-native credit assessment built for lending globally. Kita superpowers underwriters by turning messy borrower applications into decision-ready files. Your team always keeps the final call.

Try Kita
100K+ borrower files·Live inUSASEALATAM
Trusted by international financial institutions
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo
IMB
Trusting Social
N90
beloz by amiloz
Cashalo

Legacy lending breaks

in three places.

01

Data stays trapped in documents.

Raw figures and hundreds of risk signals sit locked inside messy documents legacy tools can't read.

02

Files stay incomplete.

Wrong documents, missing pages, round after round of messaging the borrower to chase what’s missing.

03

Underwriting stays manual.

Reconciliation and memos written by hand. Hours per file before a single decision.

Four ways in.

Each one works on its own.

AI Underwriter reads the borrower file against your credit policy and drafts the memo. AI Credit Officer gets that file in and gets it complete. Risk Score adds alternative signals where the bureau file is thin. Capture pulls the data out of the documents underneath all three. Run one against the system you have today, or run all four.

01

AI Underwriter

Drafts the memo. Your credit officer decides.

Runs the full financial analysis against your own lending policy. Then drafts a decision-ready credit memo.

0×Faster underwriting
See AI Underwriter
Draft memo · file-2026-04-1162Pending review
Verde Logística S.A. de C.V.Trucking · CDMX
Recommendation · ApproveMXN0.0M
Term0 mo
Rate0.0% APR
Operating cash flowMXN 0.0M / yr1
900K700K500K870KAPRMAYJUNJULAUGSEPOCTNOVDECJANFEBMAR
DSCR · Base casePASS
0.00×1
1.00×Policy min 1.20×1.60×
DSCR · -15% stressWATCH
0.00×1
1.00×Policy min 1.20×1.60×
Operating marginPASS
0.0%2
0%Sector med 12%25%
ConcentrationFLAG
0%3
0%Policy max 50%100%
02

AI Credit Officer

The 24/7 agent that closes the loan file.

Engages borrowers on WhatsApp, SMS, or email, in their preferred language, until the file is complete.

0%Drop-off reduction
0+Languages supported
See AI Credit Officer
LiveConversational document collection
3m 12s
MS
Maria DelgadoSMS · Active
File · APP-2419
Borrower file6 of 7
borrowerMaria Delgado
channelSMS · English
loan_request$175,000 USD · 36 mo
application_formsubmitted
bank_statements3 mo · requested
proof_of_addressverified
government_idpending
File completeness
78%
Identity verified3 docs collected1 pending
Hand off to AI Underwriter →
03

Kita Risk Score

Alternative signals for high-velocity consumer lending.

For lenders writing small consumer loans at volume in emerging markets, where the bureau file is thin or missing. Kita scores financial capacity, document fidelity and submission behaviour out of whatever the borrower uploads, and hands back a signal your existing model can take as an input.

0+Signals predictive of repayment
See Kita Risk Score
Maria Santos3 files · 10 scores0.0s processing time
Any file the borrower sends
statement.pdf
IMG_4471.jpg
gcash-screenshot.png
Photos, screenshots, PDFs. No template.
Ten scores, one call▪ bureau alone
01Income stability
0.00
02Affordability
0.00
03Cash-flow regularity
0.00
04Employment formality
0.00
05Debt burden
0.00
06Capture fidelity
0.00
07Layout consistency
0.00
08Bill regularity
0.00
09Submission intent
0.00
10Liquidity
0.00
Backtest · 8,000 microloansRiskiest tenth defaults 2.2× the safest. Bureau alone is flat.
+0.0Gini over bureau
04

Kita Capture

Vision AI for messy financial documents.

Ingests any document your borrowers actually send (photos, scans, screenshots) and extracts raw data and hundreds of potential risk signals.

0.0%Extraction accuracy
See Kita Capture
LiveVision-language extraction
0.0s
CHASE
9:42 AM
Available balance$4,218.50
Card settlementMar 14 · 09:42
+1,200
Supplier ACHMar 13 · 18:11
−800
Card settlementMar 13 · 14:02
+950
Mobile depositMar 12 · 11:08
+2,000
Structured fields0 of 12
account_holder
available_balance
period
transactions
monthly_inflow
tampering
Account matchBalance reconciled1 cross-doc flag
View JSON →
AI-native onboarding

Catch the errors at intake, not in underwriting.

Most rework on a credit file starts the moment a borrower uploads: the wrong statement, a missing page, a name that does not match the ID. These two catch it there, while the borrower is still on the page, so the file reaches your team complete.

AI Loan Application

The intake form reads what the borrower has already given you and asks only for the rest. Fewer questions, fewer abandoned applications, a file that arrives closer to complete.

See AI Loan Application

AI Borrower Portal

One place for the borrower to upload, see where the application stands, and answer what was asked. No document lost in an email thread, no status call to your branch.

See AI Borrower Portal

A frictionless start. A clear path to fully AI-native lending.

Connect any Kita product to the system you already run through our API, or adopt the whole platform. Most lenders start with one product and add the rest as each proves itself on their own files.

Plug into your current system

Every product works as a point solution over API, alongside whatever LOS, core, or spreadsheet you run today. Documents come in where they already arrive, and results go back to your system of record. No migration.

REST APIPost a document, get structured data, a score, or a memo back
Your LOSResults written back into the system your credit team already works in
Kita consoleFor teams who want a place to work without building anything first
See the integrations

Or adopt the full platform

Intelligent LOS runs every product in one system, with origination built around them. It is for teams ready to replace the system they have been working around.

You never have to go all the way. Every product on this page runs on its own.

See Intelligent LOS

One stack. Every kind of lending.

Extract alternative data signals from your borrower documents that measurably separate risk and strengthen your underwriting model.

  • Hundreds of fields per document, extracted in real time
  • Surfaces meaningful predictive data bureau scores never see
  • Signals scored by Information Value, not guesswork
Signals extracted312 fields read
0.150.120.090.1460.1410.1380.1240.1100.103CUTOFF · 0.14
Clears · 2Below · 4
Alt-data a bureau never sees.
Built by a team from
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA
Stanford University
Apple
Microsoft
Stanford AI
Tesla
NVIDIA

Transform legacy lending processes with

AI-native underwriting.

For decades, underwriting resisted automation. Documents too varied. Too messy. Too inconsistent.

AI changes that. Software can now read a paystub, a bank screenshot, or a financial statement with the fluency of a human analyst, thousands of files an hour, with citations. It's giving a new class of lenders a real edge.

Credit review that once took a team now takes seconds, and the lenders who adopt this layer early will lead on speed, cost, and risk.

What that looks like in practice, product by product

AI Underwriter

The memo cites its sources, so a credit officer can check every figure against the page it came from. The fastest way to judge it is to run it on files you have already decided.

Book a demo on your own files

Kita Capture

TRBank, a rural bank in the Philippines, ran 5,100 paper loan records through Capture and got 452,236 structured field values back at 97%+ field-level accuracy.

Read the TRBank case study

Kita Risk Score

Evidence comes from a backtest, not a pitch. Kita scores your own closed loans, regresses every signal against what actually repaid, and keeps only the ones that hold up on your book.

Ask for a backtest

Built for the markets where lending is hardest.

Active in the Philippines.

GCash, Maya statements, payslips, CIBI / CRIF reports, bank statements, audited financials.

Explore SEA

Active in Mexico.

CFDI, constancia de situación fiscal, INE, poder notarial, acta constitutiva, estados de cuenta.

Explore LATAM

Live with CDFIs, community banks, and SMB lenders.

Business tax returns (1120, Schedule C, K-1, 1065), commercial bank statements, income proof.

Explore US

Kita runs inside your perimeter,

not around it.

A platform that fits inside your credit policy, your systems, and your compliance posture, without slowing the decision.

i.

Customer-specific deployments

Your tenant. Your keys. Isolated infra.

ii.

Provider allowlisting

Choose the model providers you trust.

iii.

Lender-controlled decisioning

Kita recommends. You decide.

iv.

ISO 27001 · SOC 2

ISO 27001 certified by Advantage Partners. SOC 2 Type II in progress.

v.

Borrower data stays in-region

SEA, LatAm, US, never leaves the region.

Underwrite borrowers anywhere in the world in minutes.

Talk to us about deploying Kita inside your lending stack. Pilots launch in under a month.

View documentation
kitaTagalog
adj.seen; visible; obvious; easily understood
n.earnings; wages; income; revenue