MSME credit · India

Underwriting reports from unstructured financial data.

India's informal MSME economy runs on handwritten ledgers, kaccha bills, and bank statements. Vedyem turns that into decision-ready credit assessments — in under 5 minutes.

NBFC Lender
Credit decision
✓ Approved
MSME Borrower
Kaccha bills & ledger
bank statement kaccha bill GST ledger
Vedyem
AI Engine
processing
report ready ✓
$300B+
MSME credit gap in India. Demand exists. Readable data doesn't.
7 days
Average manual underwriting time per MSME file.
<5 min
Vedyem processes a full document set and returns a decision-ready report.

Lenders can't underwrite what they can't read.

Informal financial records

Most Indian MSMEs maintain accounts in handwritten ledgers and kaccha bills. Standard tools fail on these documents — leaving lenders with no structured data to underwrite.

7-day underwriting cycle

Credit analysts spend days manually extracting figures from paper documents, cross-referencing statements, and computing ratios — limiting how many files a team can process.

Credit gap, not demand gap

The MSME credit shortfall isn't a lack of creditworthy borrowers. Their financial history exists in formats lenders can't assess. The data is there. The infrastructure to read it isn't.

01
Document Intelligence

Extract structured signals in seconds

Drop any document — kaccha bill, bank statement, GST ledger, handwritten register. Vedyem returns validated data in under a minute.

Inference results
Transcription
Validation
Signals
Fraud flags
Documents · 6
Kaccha_bill_ma…Ledger
GST_return_Q4…GST
SBI_statement…Bank
Aadhar_copy…ID
Inventory_led…Stock
Net Monthly Inflow
₹1,24,500
verified · math consistent
Avg Transaction Size
₹8,200
verified
Cash-to-Credit
0.74
review recommended
Inflow Consistency
91.3%
high regularity
Creditworthiness signals
Inflow frequency
87%
Flow stability
72%
Ledger integrity
98%
Velocity ratio
4.31×
Vedyem inference engine
NCR textile NBFC pilot
3 active 8 queued
3
Active
12
Processed today
0
Schema errors
2
Flagged
RK
Ramesh Kumar Textiles
VDY-2026-0041 · Garments · NCR
Extracting: Kaccha bill batch · 3/7 done
Extracting
SK
Sunita Kirana Store
VDY-2026-0038 · Retail · Sahibabad
Schema validated · Signals computed
Verified
MP
Mohan Pharma Dist.
VDY-2026-0029 · Pharma · Noida
Awaiting: GST ledger upload
Pending doc
02
Inference Agent

One API call. Full credit picture.

Vedyem runs across all uploaded documents, checks totals against each other, and flags discrepancies before a loan officer ever opens a file.

03
Output

Decision-ready in under 5 minutes.

A structured, auditable report with fraud signals, credit metrics, and cash flow analysis. Exports to your LOS with no manual re-entry.

Underwriting Report · VDY-2026-0044
Ramesh Kumar Textiles · Garments · NCR
decision_ready
Account inflow over time
OctNovDecJanFeb
Inflow Frequency
76%
Consistent
GST Compliance
94%
Consistent
Turnover Consistency
84%
Consistent
ITC Mismatch
None
Fraud Flag Score
Very low

What you get.

One interface. Five views. Every document, every signal, every flag — structured and auditable.

app.vedyem.com
Upload document
Drop business docs / folder
gst · bank · invoices · id
stock · pdf · images
✓ batch upload supported
Extraction pipeline
Document ingested0.4s
Document reading1.31s
Structuring fields1.9s
Schema validation2.41s
Credit signals3.11s
Demo documents
📄 hand_written_ledger_Ledger
📄 GST_Q3_2026.pdfGST
📄 bank_stmt_Q3.pdfBank
📄 ledger_sep_2026.jpgLedger
📄 stock_register_Q3.pdfStock
Vedyem AI-automated underwriting reports for lenders
Signals
Transcription
Validation
JSON output
Underwriting report
Net Monthly Inflow
₹3,82,000
verified · GST matched
Avg Transaction Size
₹31,800
verified
Cash-to-Credit Ratio
0.91
within limits
Inflow Consistency
84.6%
quarterly pattern
Account inflow over time
OctNovDecJanFeb
Inflow Frequency
76%
Consistent
GST Compliance Score
94%
Consistent
Turnover Consistency
84%
Consistent
FieldExtracted valueSource
document_typekaccha_billkaccha_bill_march.jpg
vendorRamesh Textiles, NCRkaccha_bill_march.jpg
date2026-03-14kaccha_bill_march.jpg
line_items2 items detectedkaccha_bill_march.jpg
total₹15,600kaccha_bill_march.jpg
math_check✓ passedcross-validated
gst_turnover_Q4₹4,82,000GST_return_Q4.pdf
avg_monthly_credit₹38,400SBI_statement.pdf
confidence0.94schema validator
Schema validated — all required fields present
Math totals verified — line items sum matches declared total
Cross-document consistency — GST turnover matches bank credits ±8%
GST compliance score — 94% · Consistent
⚠️Cash-to-credit ratio 0.74 — review recommended
ITC mismatch check — None found
Fraud flag score — Very low
# Vedyem extraction — kaccha_bill_march.jpg
{
  "document_type": "kaccha_bill",
  "vendor": "Ramesh Textiles, NCR",
  "date": "2026-03-14",
  "line_items": [
    {"desc": "Cotton fabric 40m", "amount": 12400},
    {"desc": "Dyeing charges", "amount": 3200}
  ],
  "total": 15600,
  "math_validated": true,
  "schema_errors": 0,
  "confidence": 0.94
}
Ramesh Kumar Textiles
VDY-2026-0044 · Garments · NCR · report generated in 3.1s
decision_ready
Net Monthly Inflow
₹3,82,000
Inflow Consistency
84.6%
GST Compliance
94%
Cash-to-Credit
0.91 ·⚠
Fraud Flag Score
Very low
LOS Export
Ready
Report exports to LOS in JSON or PDF. Compatible with major loan origination systems.

Designed for how India's businesses actually run.

Works on handwritten bills

Kaccha bills, ledger registers, informal invoices — read as-is. No scanning guidelines, no formatting requirements.

Hindi, English, or both

Mixed-script entries — Devanagari numerals, crossed-out lines, non-standard tables — extracted with high accuracy.

Math checked before you see it

Totals cross-validated across documents. Arithmetic discrepancies flagged automatically — before the report reaches a loan officer.

Frequently asked questions

Bank statements, kaccha bills, GST ledgers, inventory registers, and ID documents. Vedyem accepts photos, scans, and PDFs — including low-quality images taken on a phone. No preprocessing or clean formatting required.
Extraction accuracy on structured fields in handwritten kaccha bills exceeds 90%. Every output is validated against a schema and checked for arithmetic consistency before it reaches your team.
A full document set — bank statements, kaccha bills, and GST returns — returns a decision-ready report in under 5 minutes. Individual document extraction completes in under 90 seconds.
Yes. Reports export in JSON and PDF formats compatible with major loan origination systems. Custom API integration is available — reach out to discuss your stack.
Documents are processed and deleted after report generation. No long-term document storage by default. Full data handling terms are available on request before any pilot begins.
vedyem
Get started

Your next underwriting decision starts here.

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