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Industry · Banking, Financial Services & Insurance

Where to open. Who underwrites. How to grow the network.

Geospatial intelligence behind HDFC, ICICI, Yes Bank, and Allianz, branch network planning, catchment analysis, and location-based risk modelling across India's most-tested BFSI footprints.

Talk to our BFSI team Products for BFSI
Stacked coins and a model car resting on banknotes

BFSI customers running on Lepton

HDFC Bank
ICICI Bank
Allianz

Use cases

What BFSI teams build with the platform.

Branch siting, ATM rationalisation and underwriting risk all come down to the same question asked at different radii: who is inside this catchment, and what are they worth. One dataset answers all three, which is why the branch team and the risk team stop arguing about the map.

  1. 01

    Branch network planning

    Model new-branch impact on existing branches before signing the lease. HDFC and ICICI use this to cut internal cannibalisation 18%.

    SmartMarket
  2. 02

    ATM siting and rationalisation

    Overlay demographic spend power, footfall, and competitor density to identify which ATMs to keep, move, or retire.

    SmartData
  3. 03

    Underwriting and risk modelling

    Pin-code-level location-risk scoring for motor, property, and commercial lines. Catchment polygons and claims overlay for Allianz-class insurers.

    SmartData

Products for BFSI

The catchment, and the data underneath it.

Three standalone products cover the BFSI decision set: SmartMarket for the network question, SmartData for the demographics and POIs it reads, and Google Maps Platform for the APIs inside your own apps.

Branch planning

SmartMarket

Catchment analysis, candidate scoring, cannibalisation modelling.

Datasets

SmartData

50M+ POIs, demographics, building footprints, 7-tier boundaries.

APIs

Google Maps Platform

Premier Partner. Branch locator, geocoding, validation for digital onboarding.

The SmartData income layer over Sectors 24 to 26 in Gurugram as a grid, one cell selected showing average monthly income and the high, middle and low income group shares
Income over Sectors 24 to 26, Gurugram. Each cell carries an average monthly income and the share of high, middle and low income households inside it.

From a network planning team

Not where we can open. Where we should.

We stopped opening branches near branches. SmartMarket reframed the conversation from 'where can we open' to 'where should we open.'
Network Planning LeadLeading Indian Private Bank

Questions

What BFSI leadership asks first.

  1. 01

    Does this work for Indian tier-2 and tier-3 cities?

    Yes, that's where SmartData earns its keep. 50M+ Indian POIs with deep coverage outside metros, refreshed weekly. Demographic data aligns to latest census plus annual proprietary surveys.

  2. 02

    How do we integrate with existing core banking or branch dashboards?

    Standard exports (Shapefile, GeoJSON, KML, CSV) plus REST APIs. Most BFSI customers pipe Lepton output into Tableau, Power BI or internal dashboards directly.

  3. 03

    Data residency and RBI compliance?

    All Indian customer data hosted in India-region data centres. SOC2 Type II, ISO27001, plus alignment to RBI cybersecurity guidelines and DPDP Act consent flows.

Tell us the decision. We'll route the right team.

Send the geography and the problem. Within 48 hours you get a response from a specialist who has built it for someone like you.

  • 48-hour response from a BFSI specialist
  • Reference calls with named BFSI clients
  • Optional pilot before contract

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