Our Work/3D Property Intelligence

Urban Governance · Drone & Geospatial

An Aadhaar for every flat.

A drone-based 3D property survey that measures what has actually been built, reconciles it across every government record, and gives each flat, floor and common area a permanent digital identity.

2–3 cmbuilt-up area accuracy per floor
₹13–21 Crestimated additional annual demand, full city
12 weeksfrom survey to Commissioner review, one ward
Client
Karimnagar Municipal Corporation
Pilot scope
One dense ward, ~1 sq km, 1,500–3,000 properties
Survey
LiDAR, oblique and nadir imagery, DGPS
Systems reconciled
CDMA, IGRS, utilities, DTCP
Principle
System flags, officer decides

The Challenge

The tax roll cannot see what was built.

Property tax assessment relies on manual measurement and self-declaration, and both systematically under-report. Additional floors, enclosed balconies, under-declared plinth areas and new construction often never reach the tax roll.

Vertical property also has no identity of its own. Nothing connects tax, registration, utilities and building permissions for the same physical unit.

60families in one apartment building can share a single PTIN
  • Additional floors not on the tax roll
  • Balconies and parking enclosed for habitable use
  • Under-declared plinth area during self-assessment
  • New construction never added to the roll

Our Solution

One survey. Four layers of intelligence.

Each layer builds on the one below it, from physical measurement to a permanent identity for every unit.

LAYER 04

Unique Unit Identity

Every flat, floor and common area receives a permanent, geo-referenced 3D identity linked across all systems.

LAYER 03

Multi-Source Reconciliation

Measured area and ownership are matched against CDMA, IGRS, utility and DTCP records, and every disagreement is flagged.

LAYER 02

Document Intelligence

AI reads sale deeds, property schedules and mutation orders in Telugu and English and converts them into structured ownership data.

LAYER 01

Physical Truth

LiDAR, oblique and nadir imagery with DGPS ground control measure the actual built-up area on every floor.

Delivery

Twelve weeks, one ward.

The pilot proves the method in a single ward. The deviation it measures becomes the business case for the whole city.

PhaseW1W2W3W4W5W6W7W8W9W10W11W12
Field survey2–3 days of flying
ProcessingPoint cloud, 3D mesh
Record matchingCDMA · IGRS · utilities · DTCP
Reconciliation and identityFlags and unit IDs
Output and reviewCommissioner review

What the System Flags

Every disagreement, surfaced for an officer.

The system flags; the officer decides. No record is merged automatically.

  • Built-up area larger than the assessed area
  • Owner on the tax roll different from the last registered owner
  • Properties with no tax assessment at all
  • Construction that deviates from the sanctioned plan
  • Ownership transfers that were never registered

Revenue Impact

From ₹52.65 Cr to ₹65–73 Cr a year.

Estimated for the full Karimnagar Municipal Corporation. Darker segments show the lower estimate; lighter segments show the upper range. Additional revenue is recurring, not a one-time recovery.

₹0₹20₹40₹60₹80₹52.65 Cr+₹10–16 Cr+₹3–5 Cr₹65–73 CrCurrent demandUnder-assessmentcorrectionNew propertydiscoveryNew annual demand

The pilot ward alone is estimated to add ₹15–22 lakh a year. Beyond revenue, the city gains a single source of truth for every property, a compliance map for DTCP, and a 3D digital twin for master planning and disaster risk assessment.

Measure what your city has actually built.

Start with one ward. The deviation it reveals becomes the business case for the whole city.

Discuss a Pilot