DolphyFin
Build with DolphyFin
LENDING VERTICAL

Turn financial data into lending intelligence.

Automate credit assessments. Retrieve credit scores, deconstruct bank statement transaction tables, verify salary incomes, and identify synthetic fraud tags.

Lending Assessment

Detected Monthly Salary ₹1,24,000.00

Proven Business Outcomes

Our models undergo daily fine-tuning to guarantee optimal processing clearance rates.

94.2%

Auto-underwriting Ratio

Clear low-risk borrowers without manual intervention.

0.02%

Synthetic Identity Fraud

Defeat fake credit profiles using multi-parameter device matches.

₹0

Paper Invoice processing

Dolphy Vision OCR parses scanned financial records automatically.

Pipeline Integration Flow

DolphyFin maps data payloads sequentially, validating compliance guidelines dynamically at every stage.

1

Collect Financial records

Ingest bank statement PDFs or tax document scans via client interfaces.

2

Calculate risk matrices

Extract income columns, recurring debt ratios, and balance parameters.

3

Generate lending outcomes

Return recommended credit limits, confidence ranks, and risk levels.

Visual Execution Trace ● ACTIVE SANDBOX

// Ingesting validation payload...

dispatch(payload) {"status": "processing"}

check_model_confidence("deepfake_analysis") -> result: 99.8% PASS

approve_verification_session("APP-4821")

Detailed Feature Grid

Our unified backend allows you to switch checks on/off with basic API flags.

Bank Statement analysis

Parse transaction logs to classify salary entries and identify check bounces.

Salary Income verification

Verify employment credentials and tax details against MCA and corporate lists.

Debt-to-Income calculation

Compute net obligations to determine borrow capacity limits.

Fraud risk scorecards

Check device histories, name similarities, and email ages.

Comparison Matrix

Parameter Legacy KYC Vendors DolphyFin Unified
Income calculation Manual statement spreadsheet copy, hours spent Automated OCR table extraction in 3 seconds
Fraud checks Static blacklist lookup checks Composite device and identity network analyses
Processing cost High human auditor review overheads Automated clearing costs fractions

Vertical Use Cases

See how our modules operate across regulated and digital environments.

Consumer Credit approvals

Evaluate applicant credit ratings instantly during buy-now-pay-later checkouts.

Key Metric: Auto-approvals under 2 seconds

Business Lending applications

Verify corporate financial balances and GST filings.

Key Metric: Underwriting times reduced from days to minutes

API Specifications (JSON)

{
  "underwriting_rules": {
    "min_income": 25000,
    "max_dti": 0.40,
    "allow_bounces": false
  }
}

Frequently Asked Questions

How does the bank statement parser read PDFs?

We use layout-aware neural OCR to read tabular fields, extracting columns even from scanned PDFs.

Does it connect to credit bureaus?

Yes, integrations allow querying credit reports as nodes in underwriting workflows.

How is income verified?

We search for recurring direct deposit strings, employer tags, and match figures against tax logs.

Integrate LENDING VERTICAL Today

Access sandbox endpoints instantly and test your identity checks using simulated datasets.

ESC