Projects

Executed large-scale geospatial initiatives for
the Government of Telangana, including the delivery of over 8,000 cadastral maps and the digital mapping of 550 RTC properties. Our
team has also carried out agriculture-focused geospatial analysis across seven districts,
providing accurate crop yield estimations to
support data-driven planning and decision- making.

Digital mapping of government-owned industrial land parcels across Telangana.
High-precision boundary delineation and parcel-level spatial intelligence.
Integration of cadastral records with satellite imagery for accuracy validation.
Supports infrastructure planning, land governance, and asset monitoring.

Automated crop type identification using multi-temporal satellite imagery.
AI models trained to classify crops and seasonal patterns at scale.
LULC-based agricultural intelligence for planning and yield analysis.
Enables data-driven decisions for agriculture and policy stakeholders.

Real-time land valuation using AI-driven spatial analytics.
Incorporates location, infrastructure proximity, zoning, and historical trends.
LLM-powered explainable insights for transparent valuation reasoning.
Designed for scalable deployment across regions and asset types.

Time-series satellite analysis for monitoring land and water bodies.
Automated detection of encroachments and land-use changes.
Early identification of environmental risks and spatial anomalies.
Supports regulatory compliance and sustainable urban planning.