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Data and technology

Data and technology

Keysquare's advantage comes from the depth of its data and the infrastructure that processes it. We invest in both so our clients get answers that are more detailed, more current and faster to reach.

Architecture

From raw data to scored locations

Every dataset passes through the same four stages, so all layers line up precisely and can be combined in any analysis.

Ingest

Collect

  • Licensed and public datasets
  • Proprietary field and digital signals
  • Your own business data
Harmonise

Standardise

  • Address cleaning and geocoding
  • Common hexagonal spatial index
  • Quality checks and de-duplication
Model

Learn

  • Demand and footfall models
  • Propensity and affinity scoring
  • Cannibalisation and risk models
Serve

Deliver

  • Map studio and dashboards
  • Copilot AI analyst
  • APIs and scheduled feeds
Data layers

Data layers

Each layer is aligned to the same grid and refreshed on its own cycle. Your data is joined privately and never shared with other clients.

LayerWhat it describesTypical uses
DemographicsPopulation, age, gender, household size and growthMarket sizing, demand estimation
Affluence & spendIncome bands, spending power, category consumptionPremium formats, pricing, product mix
Mobility & footfallAggregated movement by hour, day and seasonSite selection, OOH, staffing
Points of interestBusinesses, brands, institutions and anchors by categoryCompetition, whitespace, co-location
Real estateRental and capital values, new supply, land useLease negotiation, land acquisition
Geo-social signalsSentiment and trends from public, location-tagged contentBrand affinity, audience targeting
Infrastructure & accessRoads, transit, connectivity, upcoming projectsCatchments, growth corridors
BoundariesState, district, pincode, ward, village and custom zonesReporting, territories, compliance
Infrastructure

Processing infrastructure

Location analysis is computationally heavy. Joining millions of points to millions of cells, routing catchments across whole cities and retraining models on fresh data all demand serious processing power.

Parallel

A dedicated compute platform that processes thousands of spatial operations at the same time

Accelerated

Model training and inference run on specialised high-throughput hardware

In-memory

Hot data is held close to the processors for interactive map exploration

Elastic

Capacity scales up for national studies and down for daily queries

Trust

Privacy and data security

We work with aggregated, anonymised signals. We never identify or track individuals.

Aggregated by default

Movement and audience data is aggregated to areas and time windows, with minimum thresholds before any value is shown.

Your data stays yours

Client data lives in an isolated workspace, is encrypted in transit and at rest, and is never used to serve other clients.

Built for Indian regulation

Our data practices are designed to align with India's Digital Personal Data Protection Act, 2023, with data hosted in India by default.