Every Indian address, parsed, placed, and profiled Upto 100-metre resolution.

An API that takes any Indian address, in any format, and returns a structured location profile at 100-metre grid resolution: parsed, geocoded, enriched, triangulated, and velocity-assessed. No additional integration required.

JupiterNiyoPunjab & Sind BankJana Small Finance BankCSB BankLenDenClubmoneyview
SnapmintIndiaMARTBajaj FinanceKisshtOneCardSmartCoinOTO

Why it exists

Pincode-level location intelligence across India

India's pincode covers 60,000 to 70,000 residents per code, grouping together neighbourhoods with entirely different characteristics. Location Intelligence replaces pincode-level approximation with 100-metre precision, built for how Indian addresses actually work: incomplete entries, mixed languages, landmark-based descriptions, and village-taluka-district hierarchies.

What It Does

Any Indian address in. Five layers of location intelligence out.

Address broken into house number, street, pincode, city and country
  • Raw inputStructured
  • LanguageNormalised
  • Landmark refsResolved
  • Admin hierarchyMapped

Address Parsing

Indian addresses do not follow a standard format. This cluster converts any raw input into a structured, geocodable format.

  • Incomplete, partial, and non-standard formats handled
  • Mixed-language and transliterated entries normalised
  • Landmark-based descriptions and local references resolved
  • Village, taluka, and district hierarchies mapped
Geotagging result card with latitude, longitude and accuracy
  • CoordinatesConfidence 96%
  • H3 grid100 m
  • Satellite checkVerified
  • POI layerApplied

Geotagging

Once parsed, the address is placed precisely on the map. Every subsequent layer operates at this resolution.

  • Latitude and longitude with confidence scoring
  • H3 hexagonal grid at 100-metre resolution
  • Satellite-based location verification
  • India-specific POI and infrastructure data layered on
Location insight report with charts on a desk
  • Affluence82
  • Economic activity78
  • UrbanisationUrban
  • Fraud risk9

Enrichment

The economic reality of a location, scored independently of what the applicant declares.

  • Five composite scores (0-100): Affluence, Economic Activity, Commercial Activity, Urbanisation, Fraud Risk
  • Derived from satellite imagery, nighttime light intensity, land use classification
  • Building-level differentiation within the same pincode
Map pin beside a router showing network-derived location
  • Telecom circleConsistent
  • IP geolocationMatch
  • KYC vs current0.4 km
  • MismatchesNone

Spatial Triangulation

An address on its own is one data point. Cross-referenced against telecom, IP, and employment signals, it becomes a consistency check.

  • Declared address versus telecom circle registration
  • IP geolocation versus stated location
  • KYC address versus current address distance
  • Mismatches surfaced and scored
Globe with India highlighted and data flows around it
  • Applications, 30 d2
  • Grid cellSingle
  • Kiosk patternNone
  • Device clustersNone

Address Velocity

A single address generating two applications in a month is normal. Fifty is not. This cluster tracks application volume at the location level.

  • Application count per grid cell within configurable time windows
  • Concentration spikes flagged
  • Lending-kiosk and agent-hub patterns identified
  • Cross-referenced with device clusters from the same location

What Comes Out

Structured location profile per address. Real-time. Three consumption tiers.

Where It Applies

Three deployments, each reading the address for a different decision.

  • Credit underwriting

    Credit underwriting

    Affluence verification, address-based risk stratification, geographic portfolio analysis

  • Onboarding

    Onboarding

    Address verification without field visits, reachability assessment

  • Fraud prevention

    Fraud prevention

    Address velocity, location-level clustering, address-telecom mismatch

Integration

A single REST call on the address you already collect. No additional integration, no change to the application flow, no replacement of systems already in production.

JupiterNiyoPunjab & Sind BankJana Small Finance BankCSB BankLenDenClubmoneyview
SnapmintIndiaMARTBajaj FinanceKisshtOneCardSmartCoinOTO

Why it exists

India's pincode covers 60,000 to 70,000 residents per code, grouping together neighbourhoods with entirely different characteristics. Location Intelligence replaces pincode-level approximation with 100-metre precision, built for how Indian addresses actually work: incomplete entries, mixed languages, landmark-based descriptions, and village-taluka-district hierarchies.

Pincode-level location intelligence across India

What It Does

Any Indian address in. Five layers of location intelligence out.

Address Parsing

Indian addresses do not follow a standard format. This cluster converts any raw input into a structured, geocodable format.

  • Incomplete, partial, and non-standard formats handled
  • Mixed-language and transliterated entries normalised
  • Landmark-based descriptions and local references resolved
  • Village, taluka, and district hierarchies mapped

Geotagging

Once parsed, the address is placed precisely on the map. Every subsequent layer operates at this resolution.

  • Latitude and longitude with confidence scoring
  • H3 hexagonal grid at 100-metre resolution
  • Satellite-based location verification
  • India-specific POI and infrastructure data layered on

Enrichment

The economic reality of a location, scored independently of what the applicant declares.

  • Five composite scores (0-100): Affluence, Economic Activity, Commercial Activity, Urbanisation, Fraud Risk
  • Derived from satellite imagery, nighttime light intensity, land use classification
  • Building-level differentiation within the same pincode

Spatial Triangulation

An address on its own is one data point. Cross-referenced against telecom, IP, and employment signals, it becomes a consistency check.

  • Declared address versus telecom circle registration
  • IP geolocation versus stated location
  • KYC address versus current address distance
  • Mismatches surfaced and scored

Address Velocity

A single address generating two applications in a month is normal. Fifty is not. This cluster tracks application volume at the location level.

  • Application count per grid cell within configurable time windows
  • Concentration spikes flagged
  • Lending-kiosk and agent-hub patterns identified
  • Cross-referenced with device clusters from the same location

What Comes Out

Structured location profile per address. Real-time. Three consumption tiers.

A device emitting individual location signals as structured data

Raw Signals

Full location attributes as structured data, consumable directly into credit models, address workflows, or underwriting logic.

  • Parsed and normalised address fields
  • Geocoded coordinates with confidence score
  • Five composite enrichment scores
  • Triangulation consistency indicators
  • Address velocity metrics
A scorecard reading the location signals into a risk score

Pre-Built Scores

Five composite scores on a 0-100 scale, ready to use standalone or as enrichment.

  • Affluence, Economic Activity, Commercial Activity, Urbanisation, Fraud Risk
location signals feeding a configurable risk model

Custom Risk Models

Location signals calibrated to the institution's own portfolio. The weight of an affluence score differs between a microfinance lender and an urban credit card issuer. Sign3 tunes accordingly.

Where It Applies

Three deployments, each reading the address for a different decision.

Credit underwriting

Credit underwriting

Affluence verification, address-based risk stratification, geographic portfolio analysis

Onboarding

Onboarding

Address verification without field visits, reachability assessment

Fraud prevention

Fraud prevention

Address velocity, location-level clustering, address-telecom mismatch

Integration

A single REST call on the address you already collect. No additional integration, no change to the application flow, no replacement of systems already in production.

SDK connecting a mobile app and a code editor

Delivery

REST API. No additional integration required.

Input

Any Indian address (free-text, structured, or partial).

Response time

Real-time.

Timeline

1–2 weeks.

Compliance

DPDP Act compliant. GDPR compliant.

Run your last week of traffic through Sign3.

We'll score it, surface the fraud patterns your current stack missed, and walk you through what we found. Your data, our scoring. No commitment, no integration, no decision required until you've seen the result.