The transactional SMS inbox, read as a live financial behaviour profile.

A consent-based module that reads the applicant's transactional SMS and extracts income, obligations, lending activity, spending, and liquidity — in real time, from the messages already on the device. No documents, no bureau wait.

JupiterNiyoPunjab & Sind BankJana Small Finance BankCSB BankLenDenClubmoneyview
SnapmintIndiaMARTBajaj FinanceKisshtOneCardSmartCoinOTO

Why it exists

Transactional SMS extracted into salary credits, EMI payments and UPI activity

300M+ Indians have no bureau score. They do have a phone. And on that phone, transactional SMS carries the financial behaviour signal that makes them underwritable: salary credits, EMI payments, UPI activity, and lending history, all without a single document.

What It Does

One consented inbox in. Five layers of financial behaviour out.

Analyst reviewing income statements
  • Monthly incomeINR 84,500
  • Consistency · 12 mo12/12 credits
  • Income sources2 detected

Income and Salary Intelligence

The most immediate question in any credit decision: does this person earn, how much, and how consistently.

  • Salary credit detection: amount, frequency, employer patterns
  • Income consistency over 3, 6, and 12-month windows
  • Multiple income source identification
  • Salary disruption and gap detection
Calculating EMI obligations
  • Active EMIs3 · INR 21,900/mo
  • Bounces · 6 mo0
  • Repayment regularityOn time

Obligations and Repayment Intelligence

What the applicant owes and how they pay it back. Bureau reflects this with a 2-3 month lag. SMS reflects it as of the last payment cycle.

  • Active EMI count and monthly obligation total
  • Bounce frequency, recency, and severity
  • Repayment regularity scored across all obligations
  • Overdue indicators from reminder and penalty SMS
Lending activity dashboard review
  • Active lenders4
  • New in 14 days2 disbursals
  • Stacking patternDetected

Lending Activity Intelligence

New loans and credit lines are visible in SMS within days of disbursement. Bureau will not reflect them for months.

  • New disbursements detected with lender identification
  • Active lender count and lending velocity
  • Loan stacking patterns across multiple providers
  • BNPL and short-term credit activity
UPI transaction spending on a phone
  • UPI velocity46 txn/mo
  • Merchant mixRetail, food, fuel
  • Digital adoptionHigh

Spending Behaviour Intelligence

How the applicant spends carries signals that complement how they earn and what they owe.

  • UPI transaction velocity and volume
  • Merchant category patterns
  • Spend consistency and trend analysis
  • Digital payment adoption depth
Account balance report analysis
  • Balance trendDeclining
  • Min-balance breaches2 · last 90 d
  • Liquidity stressElevated

Balance and Liquidity Intelligence

The applicant's financial cushion, or lack of it.

  • Account balance trends over time
  • Credit utilisation indicators
  • Minimum balance breach frequency
  • Liquidity stress signals

What Comes Out

A structured financial behaviour profile per applicant. Real-time, consent-bound.

Where It Applies

Three deployments, each reading the same inbox for a different decision.

  • Credit underwriting

    Credit underwriting

    NTC and thin-file scoring, income verification, debt-to-income assessment.

  • Fraud prevention

    Fraud prevention

    Loan stacking as wilful default signal, no-income-high-inflow as mule indicator, multi-lender velocity as organised fraud pattern.

  • Portfolio monitoring

    Portfolio monitoring

    Early warning on existing borrowers before delinquency appears in DPD buckets.

Integration

Consent-based. The applicant grants SMS access during onboarding, and the profile returns in real time. Only transactional SMS is read — personal messages are never parsed or stored.

JupiterNiyoPunjab & Sind BankJana Small Finance BankCSB BankLenDenClubmoneyview
SnapmintIndiaMARTBajaj FinanceKisshtOneCardSmartCoinOTO

Why it exists

300M+ Indians have no bureau score. They do have a phone. And on that phone, transactional SMS carries the financial behaviour signal that makes them underwritable: salary credits, EMI payments, UPI activity, and lending history, all without a single document.

Transactional SMS extracted into salary credits, EMI payments and UPI activity

What It Does

One consented inbox in. Five layers of financial behaviour out.

Income and Salary Intelligence

The most immediate question in any credit decision: does this person earn, how much, and how consistently.

  • Salary credit detection: amount, frequency, employer patterns
  • Income consistency over 3, 6, and 12-month windows
  • Multiple income source identification
  • Salary disruption and gap detection

Obligations and Repayment Intelligence

What the applicant owes and how they pay it back. Bureau reflects this with a 2-3 month lag. SMS reflects it as of the last payment cycle.

  • Active EMI count and monthly obligation total
  • Bounce frequency, recency, and severity
  • Repayment regularity scored across all obligations
  • Overdue indicators from reminder and penalty SMS

Lending Activity Intelligence

New loans and credit lines are visible in SMS within days of disbursement. Bureau will not reflect them for months.

  • New disbursements detected with lender identification
  • Active lender count and lending velocity
  • Loan stacking patterns across multiple providers
  • BNPL and short-term credit activity

Spending Behaviour Intelligence

How the applicant spends carries signals that complement how they earn and what they owe.

  • UPI transaction velocity and volume
  • Merchant category patterns
  • Spend consistency and trend analysis
  • Digital payment adoption depth

Balance and Liquidity Intelligence

The applicant's financial cushion, or lack of it.

  • Account balance trends over time
  • Credit utilisation indicators
  • Minimum balance breach frequency
  • Liquidity stress signals

What Comes Out

A structured financial behaviour profile per applicant. Real-time, consent-bound.

Transactional SMS resolving into structured signal attributes

Signals

Module-specific attributes as structured data, consumable directly into credit models, underwriting logic, or monitoring rules.

  • Salary credit amount, frequency, consistency
  • Active EMI count and bounce frequency
  • New disbursements and active lender count
  • UPI velocity and transaction volume
  • Balance trends and minimum balance breaches
A scorecard reading the SMS signals into composite scores

Scores

Composite scores ready to use standalone or as enrichment alongside bureau and internal models.

  • Income stability score
  • Repayment consistency score
  • Credit stress indicator

Where It Applies

Three deployments, each reading the same inbox for a different decision.

Credit underwriting

Credit underwriting

NTC and thin-file scoring, income verification, debt-to-income assessment.

Fraud prevention

Fraud prevention

Loan stacking as wilful default signal, no-income-high-inflow as mule indicator, multi-lender velocity as organised fraud pattern.

Portfolio monitoring

Portfolio monitoring

Early warning on existing borrowers before delinquency appears in DPD buckets.

Integration

Consent-based. The applicant grants SMS access during onboarding, and the profile returns in real time. Only transactional SMS is read — personal messages are never parsed or stored.

SDK connecting a mobile app and a code editor

Delivery

Consent-based. Applicant grants SMS access during onboarding.

Input

Transactional SMS inbox.

Response time

Real-time.

Timeline

2–3 weeks.

Compliance

Consent-driven. DPDP Act and GDPR compliant. Only transactional SMS read.

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