Turn the paperwork into a credit file

Bank statements, financial statements, bureau reports, commercial registrations and invoices, extracted, cross-checked against each other, and handed over as structured fields your credit policy can actually be written against.

Book a demo

Orbii Intake 9 documents · 41s

Sources

Bank statements12 months · 2 accounts

Audited financialsFY2025 · scanned PDF

Trade licenceDED · valid to 04/2027

Bureau reportAECB · commercial

Supplier invoices4 of 6 legible

Extracted

Legal nameFalcon Foods LLC

Licence no.CN-1184529licence

Revenue, 12moAED 4,820,400financials

Banked creditsAED 4,312,700statements

Avg. balanceAED 271,900statements

Existing facilitiesAED 1,150,000bureau

Days past due0bureau

Cross-check: declared revenue exceeds banked credits by AED 507,700 (10.5%). Consistent with cash sales, but unverified. Raised for the credit officer, not resolved automatically.

Every field traces to the page it came from Send to decisioning

Trusted by Risk Leaders at

secs

to decision

1000+

signals

99%

accuracy

Slowed by Reviews, Stuck with Risky Guesses

Manual underwriting process slows down decisions

Limited ability to confidently approve thin-file SMEs

Credit teams stretched across spreadsheets, PDFs, and rules engines

Difficult to scale loan book without compromising risk

Three steps.

One intake pipeline.

Reads every format

Checks every claim

Hands over fields

01 · Coverage

Built against real bank formats, not a template

Orbii reads scanned and digital statements from the banks your borrowers actually use, alongside bureau reports, audited financials, commercial registrations and invoices.

Scanned or digital, across dozens of bank formats

Bureau reports, financial statements, CRs and invoices

Live across the UAE, Saudi Arabia, Oman and Jordan

Sources read9 documents · 41s

Bank statements12 months · 2 accounts · scannedPDF

Audited financialsFY2025 · balance sheet and P&LPDF

Trade licenceDED · valid to 04/2027Image

Bureau reportAECB · commercial fileAPI

Supplier invoices4 of 6 legible · 2 raised for reviewScan

Upload them, or connect the source and Orbii pulls them.

02 · Verification

One document is a claim. Three are a picture.

Every figure is read three ways and the versions are compared. Where they disagree, the gap is surfaced with all three numbers, not averaged away.

Cross-document consistency checks

Completeness, authenticity and tamper checks on every file

Exceptions flagged for review, not quietly passed through

Cross-check3 documents compared

Revenue, stated three ways

Declared revenueAED 4,820,400financials

Banked creditsAED 4,312,700statements

VAT filed turnoverAED 4,690,000tax return

Unexplained gapAED 507,700 · 10.5%

Raised, not resolved. Consistent with cash sales, but nothing in the pack proves it. The credit officer decides, with all three figures in front of them.

03 · Output

Structured fields, not a summary

What comes out is a structured file your credit policy can be written against, not a paragraph of prose someone still has to read.

Categorised transactions and computed KPIs

Feeds decisioning, Orbii Labs and your own models

Every field traceable back to its source document

Fields out64 fields · every one sourced

Revenue, 12moAED 4,820,400financials p.4

Banked creditsAED 4,312,700statements p.11

Avg. balanceAED 271,900statements p.3

Existing facilitiesAED 1,150,000bureau p.2

Days past due0bureau p.2

DSCR1.61xcomputed

DecisioningOrbii LabsYour own modelsCSV and API

Click any field and the source page opens at the line it came from.

Make Credit a Growth Engine,
Not a Bottleneck

92% ↓

in credit evaluation time

+68%

in approvals

58% ↓

in default rate

How Foodics Lender boosted loan approvals by 30% using Orbii’s AI engine.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut et massa mi.

Designed for developers

One record, one API.

A single API and one webhook stream across intake, decisioning, servicing and portfolio. Every field traces to its source, every decision is logged.

LN-00001

POST /v1/applications

{

"borrower": "Falcon Foods LLC",

"documents": [ 4 files ],

"policy": "sme_v3"

}

// 201 Created

{

"loan_id": "LN-00001",

"status": "parsing",

"events": "webhook"

}

documents.parsed 312 fields from 4 documents09:41:02

application.assembled screened against sme_v309:41:04

decision.issued Band B, PD 4.1%09:41:06

loan.disbursed on approval—

repayment.posted on each instalment—

portfolio.updated continuously—

policy.applied sme_v3, by rules engine09:41:04

model.scored champion v4, Gini 0.6209:41:06

reason.recorded DSCR 1.42, zero days past due09:41:06

field.traced every value back to its source page09:41:06

reviewer.assigned credit officer, queue sme09:41:07

Every event carries the same loan id. Nothing is re-keyed between surfaces.

Built for credit teams
that move fast

Statements, financials, bureau reports, invoices

Cross-checks the documents against each other

Every field traces to the page it came from

Live across UAE, KSA, Oman and Jordan

Trusted by risk leaders

Your team works alongside ours

Book a demo

Turn the paperwork into a credit file

Slowed by Reviews, Stuck with Risky Guesses

Three steps.

One intake pipeline.

Built against real bank formats, not a template

One document is a claim. Three are a picture.

Structured fields, not a summary

Make Credit a Growth Engine, Not a Bottleneck

in credit evaluation time

in approvals

in default rate

How Foodics Lender boosted loan approvals by 30% using Orbii’s AI engine.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut et massa mi.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut et massa mi.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut et massa mi.

One record, one API.

Built for credit teamsthat move fast

Make Credit a Growth Engine,
Not a Bottleneck

Built for credit teams
that move fast