YuSight · Credit Decisioning

Credit Decisioning
in Hours,
not Weeks.

YuSight is an AI-powered credit decisioning platform that reads borrower documents, spreads the financials, performs complex analysis and generates a fully-cited Credit Assessment Memo — then keeps tracking covenants after close. Every figure traced to source, works alongside your existing LOS, and built for one frictionless path from analysis to decision.

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Audited Financials
54 ppExtracted
Bank Statements
12 moExtracted
Tax Returns
AY24-25Extracted
Bureau Report
v2Extracted
Credit Assessment Memo
Sample Borrower Pvt Ltd
Term Loan · $3 M · 84 months
AI · draft ready
Financial snapshot · FY24
Revenue§$50.2 M+21 % YoY
EBITDA§$9.1 Mmargin 18 %
DSCR§1.42×↑ from 1.28
Leverage§2.8×↓ from 3.1
Rating
BB+
stable
Recommendation
Approve — $3 M Term Loan
Covenants: quarterly DSCR ≥ 1.25× · leverage ≤ 3.0×
3 reviewers
28 min·§142 citations
Generated in ~30 min
95.2%extraction accuracy
Multi-entity mappedBorrower · Guarantor · Related
Faster decisioningborrower data → sanction letter
~30 minTo a Credit Memoend-to-end draft, fully cited
Underwriting throughputsame headcount, no burnout
100%Figures citedone-click source verification
95.2%Extraction accuracyvalidated vs. manual benchmark
The Problem

Your credit team is buried in data collection.

Manual underwriting means collating documents by hand, reading through every source file, cross-checking data across systems, and spreading financials line by line — yet key red flags still slip through. YuSight handles the data crunching, spreading, analysis, and first CAM draft, so your underwriters can focus on what they're trained for: judgment.

5–20 days
to first-draft Credit Memo
slower TAT at every analyst handoff
Zero
audit trail for reviewers
5–10%
manual error rate in data collation
~5%
of deals lost to faster competitors
End-to-end workflow

From documents to decision — in about 30 minutes.

30 minutes to render · 90 % accuracy · validated against manual benchmark. Every stage below is one workflow — no swivel-chair between tools.

Step 01
Document Intelligence

AI Document classifier and validation

Whether uploaded directly or synced from your LOS, every document — tax returns, bank statements, financial statements — is identified, categorized, and validated for completeness, then matched to the correct borrower, guarantor, or related entity, even across complex multi-entity structures.

Document Intelligence
Auto-classifying
FY24_Audited_Financials.pdf
Audited FinancialsBorrower
Bank_Stmt_Q1-Q4_FY24.pdf
Bank StatementBorrower
Tax_Return_FY24.pdf
Tax ReturnBorrower
Guarantor_Credit_Report.pdf
Bureau ReportGuarantor
Corporate_Registry.pdf
Govt RegistryRelated
5 of 5 validatedMulti-entity mapped
Analyzer picker
4 selected · merging
Financial Spreading
Standardized spreads
12 line items · 3 yrs
Repayment Tracker
Bank stmt × Bureau
18 mo · 0 misses
Bank Statement Analyzer
Cashflow · velocity
$50 M · 4 accts
Bureau Analyzer
Score · trend · flags
Bureau 742 · ↑
+
Custom Analyzer
Bring your own rules
Merged into CAM
Step 02
Analysers

Pick your analyzers, as you need them

You choose which analyzers run — from Financial Spreading and Repayment Tracker (Bank Statement vs. Bureau) to Bank Statement Analyzer and Bureau Analyzer, with more on the way. Only what you select flows into the final Credit Memo, giving you complete control, entirely in your hands.

Note — YuSight supports custom analyzer requirements too.
Step 03
Automated Spreading

Financials spreading and ratios calculated automatically

Financial data is extracted and spread into your standardized format, with every number mapped back to its exact source page. DSCR, leverage, liquidity, profitability, and custom ratios are calculated directly from the spread data. But the analyst stays in the driver's seat — free to review the numbers, modify anything that needs a human eye, reupload documents, and regenerate the Credit Memo, all in one place.

Financial Spreading
Auto-calculated
Line item
FY22
FY23
FY24
Revenue§
34.3
41.1
50.2
EBITDA§
4.6
6.4
9.1
PAT§
2.2
3.3
5.1
Total Debt§
13.5
15.5
17.2
Net Worth§
19.6
22.8
27.7
All values in USD (M) · Cited to source
DSCR
1.42
Leverage
2.8×
Liquidity
1.8
ROE
18.3%
Credit Assessment Memo
Version 3 · draft
Credit Memo
Sample Borrower Pvt Ltd
Facility · $3 M · Term Loan
Borrower overview
Financial analysis
3
Risk factors
Editing
4
Recommendation
EBITDA grew 92 % Y-o-Y to $9.1 M1, with margin expansion of 460 bps2. Debt-service coverage strengthens to 1.42×3
¹  Audited Financials · p. 14
²  Audited Financials · p. 22
³  Bank Statement · Feb 2024
Version history
v3now
AI · revised risk
v22 min
Priya · edited § 3
v18 min
AI · initial draft
Step 04
Credit Memo Generation

Credit memo gets automatically generated

A complete credit memo — borrower overview, financial analysis, risk factors, and recommendation — assembled directly from your data. Every figure and finding links back to its source document and page for full traceability. And because the memo is fully interactive, analysts can edit, enrich, or add context, and the AI revises accordingly. Every change is captured, so you can review version history and revert at any time.

Step 05
One Platform

Every decision, every handoff, one platform

Mark the decision, send for review, collaborate, and approve — all without switching tools. From analyst handoff to sanction letter, every action stays on one platform, with a full audit trail of every handoff and decision along the way.

Decision handoff
Live audit trail
Analyst
Priya S.
Drafted · 11:04
Reviewer
Ravi K.
Commented · 11:31
CC
Committee
3 members
Approved · 12:15
SL
Sanction
Auto-gen
Letter out · queued
12 comments
across 3 sections
Every keystroke
captured & signed
One click
to sanction letter

Get started

See your first CAM in 30 mins.

We'll run a live assessment on a real anonymized file from your pipeline. See the output. Decide from there.