VISUAL / MAP

Place network observations on a map without presenting approximation as certainty.

Bring tower, coordinate and derived geographic context into a map-first workflow while preserving uncertainty and provenance.

Feature depth

What Location Intelligence brings into the workflow.

Each capability is designed to keep the analytical path understandable: source context first, derived intelligence second, and human verification where required.

01

Map available tower/reference coordinates

02

Display relevant network locations in case context

03

Use date/time and entity filters to focus geographic views

04

Connect mapped points to supporting CDR or tower records

05

Show source-provided and derived context with different labels

06

Integrate sector/direction analysis where required data exists

07

Prepare controlled geographic context for field workflows

08

Support approximate intelligence without claiming exact device position

Investigation questions

Designed to help teams ask better questions of the available data.

  • Which configured network locations are associated with the selected records?
  • What does the geographic sequence look like over the relevant period?
  • Which map points come directly from reference data and which are derived?
  • What context can be responsibly sent for field verification?
MAP
Visual & Geospatial IntelligenceLocation Intelligence

Focused context stays connected to the broader CyberSaathi case and intelligence workflow.

TraceableCase-linkedOperational
Workflow

How the module fits into an investigation.

The exact sequence can vary by deployment and case, but the product is designed around an understandable progression rather than disconnected tools.

01Select entity/recordsNext analytical stage
02Resolve tower coordinatesNext analytical stage
03Map pointsNext analytical stage
04Filter timelineNext analytical stage
05Apply derived contextNext analytical stage
06Prepare field viewControlled output
Typical outputsMap viewTower-linked geographyFiltered geographic contextField-oriented location summary
Interpretation & provenance

Keep the output useful—and correctly described.

Tower and sector analysis cannot by itself establish an exact handset location. Approximate outputs should remain clearly labeled and field-verified.

Read responsible-use principles →
See it in context

Review Location Intelligence inside the full CyberSaathi workflow.

Request a controlled demonstration using synthetic or approved sample data and discuss deployment requirements with the product team.